Scaling Enterprise Conversational Intelligence: Cross-industry Technology and Functional Solutions Powered by Databricks Genie
Databricks partners including Accenture, Aimpoint Digital, and Avanade have launched cross-industry solutions powered by Databricks Genie that address universal enterprise challenges such as financial planning, legal compliance, and IT operations. The solutions, which include Accenture's AI4BI Command Center and Aimpoint Digital's multi-agent AgentOps system, enable organizations to automate workflows and access real-time, verifiable insights through natural language queries. These partner-built tools aim to accelerate decision-making by moving beyond static reports toward production-grade, agentic intelligence experiences across any sector.
Cross-industry technology and function-specific partner solutions developed by Databricks consulting and SI partners using Databricks Genie by [Amit Singh](/blog/author/amit-singh) As we explored in our [first blog](https://www.databricks.com/blog/transforming-industries-conversational-ai-partner-solutions-built-databricks-genie), Databricks Genie is redefining industry-specific outcomes by democratizing access to data through natural language. However, the transformative power of Genie extends far beyond industry use cases. At its core, Genie is a robust technology layer that addresses universal functional challenges - such as financial planning, legal compliance, and IT operations - that every enterprise faces regardless of their sector. By acting as a ‘Research Agent’, Genie can automatically generate multi-step research plans to explain business anomalies and back every answer with verifiable proof from the lakehouse. To help organizations operationalize AI at scale, our partners have developed a suite of cross-industry technology and functional solutions. These solutions focus on streamlining cross-functional workflows, such as automated procurement assistants or self-service business glossaries, ensuring that intelligence is powered by real-time context rather than stale, static reports. Below, we highlight the leading cross-industry partner solutions that are helping teams get to insights faster and accelerate decision making through production-grade agentic workflows. This blog showcases innovative partner solutions built on Databricks Genie across the following categories: **Accenture** **AI4BI Command Center:** Accenture and Databricks are engineering and productizing the AI4BI Command Center, a solution that shifts organization beyond contemporary BI interfaces towards a unified, governed, and agentic intelligence experience. Built on Databricks technologies and Accenture domain knowledge, the AI4BI Command Center provides decision makers with trusted, contextualized insight summaries, deep explanations, proactive alerts, what-if capabilities, and targeted recommended actions – all enabled by a rich dialoging with data interaction paradigm. The solution leverages a reusable architecture and deployment pattern that can be rapidly configured for new use cases, scaled across clients, and embedded into organizational workflows. **Aimpoint Digital**[AgentOps](https://www.aimpointdigital.com/databricks/genie): Genie spaces are intended to be highly specific, built with a single data domain or specialty to ensure high accuracy, but what happens if you need to blend data from multiple Genie spaces? Aimpoint Digital’s [multi-agent Genie system](https://www.aimpointdigital.com/databricks/genie), powered by their Brickbuilder Accelerator AgentOps provides deep observability and a robust deployment framework. Customers can gain access to insights through a single chat interface backed by Lakebase for long term chat history, with a powerful custom supervisor agent capable of reasoning across multiple Genie spaces. Customers can use AgentOps to integrate with their business users via apps, slack, teams or wherever business decisions are made. AgentOps helps maintain focused Genie spaces while unlocking its true potential through a single customizable interface driving real, long-term adoption. Read this [blog](https://www.aimpointdigital.com/blog/beyond-the-single-genie-space-building-multi-agent-ai-analytics-on-databricks) to learn more. **Avanade** Avanade helps organizations turn Databricks Genie into a trusted, enterprise-ready conversational analytics capability. Beyond enabling natural language queries, they focus on what makes Genie work in practice—aligning data foundations, curating business semantics, and embedding governance through Unity Catalog. Avanade's approach ensures Genie delivers accurate, context-aware insights that business users can rely on, not just faster answers. By combining deep data engineering, AI, and industry expertise, they help clients reduce decision latency, scale self-service analytics, and operationalize AI-driven insights across domains. The result: faster, more confident decisions grounded in governed data, delivered where and when they’re needed. Read this [blog](https://www.linkedin.com/pulse/stop-waiting-dashboards-start-talking-your-data-genie-vipul-choudhary-db3ve) to learn more. **Blueprint Technologies** **AI Factory: **Engagement leads and business stakeholders can now ask their AI Factory portfolio data questions in plain English and get governed, traceable answers. Built on Databricks AI/BI Genie and grounded in Unity Catalog, Blueprint's AI Factory Template surfaces use case maturity progression, stakeholder action completion, risk registers, and milestone timelines—without writing SQL. Engagement managers track which use cases have reached production, executives monitor portfolio health against targets, and team members query pending actions by stage and responsibility type. Every answer traces back to the Delta Lake tables powering the AI Factory Workbench, with Unity Catalog ensuring consistent governance across engagements. **Capgemini** **Agentic-ready AI and data platform:** Capgemini’s "Agentic-ready AI and data platform" offers a Databricks‑native acceleration designed to rapidly operationalize Genie as a governed conversational analytics layer within enterprise applications. It provides out‑of‑the‑box integration templates, enterprise architecture patterns, and best practices for embedding Genie into enterprise, including custom line‑of‑business apps. The accelerator is proven with a financial services industry‑focused KYC solution, delivering conversational intelligence, unified data foundations, and policy‑aware reasoning. **Celebal Tech****Eagle Eye IQ** by Celebal Technologies enables enterprises to move from reactive data monitoring to proactive, AI-driven data reliability on the Databricks Data Intelligence Platform. By unifying data quality, lineage, observability, and governance into a single intelligence layer, it helps teams detect issues earlier, understand downstream impact, and resolve root causes faster, reducing data incidents and operational overhead. Databricks Genie acts as the conversational interface over Unity Catalog-governed signals, allowing users to investigate anomalies, trace dependencies, and validate data trust in real time using natural language. Celebal Technologies explores this approach to continuous, explainable data operations in more detail in their Eagle Eye IQ data observability [blog](https://celebaltech.com/about-us/resources/blogs/eagle-eye-iq-and-databricks-genie). **Agent Garage: **Celebal Technologies’ Agent Garage extends the power of Databricks Genie from conversational analytics into enterprise-wide operational intelligence. Built natively on the Databricks Data Intelligence Platform, it enables business users to ask complex questions, uncover root causes, and trigger downstream actions through governed AI workflows. By connecting Genie’s intelligence layer with Agent Garage’s orchestration and execution capabilities, enterprises can operationalize insights across functions, from supply chain and manufacturing to energy and commercial operations. The result is a unified system where data, decisioning, and execution work together to drive faster outcomes. Explore this approach in their Agent Garage solution [blog](https://celebaltech.com/about-us/resources/blogs/operationalizing-enterprise-intelligence). **CausalX**, by Celebal Technologies, is a Databricks-native decision intelligence platform that goes beyond dashboards and predictions to deliver real-time root cause analysis with quantified financial impact. Its deterministic causal engine isolates the true drivers behind every KPI deviation, while Databricks Genie turns those findings into a conversation, letting business users explore “what next” in plain English without leaving the agent panel. The causal engine owns the why; Genie owns everything after. The result is a governed, explainable loop from question to root cause to action, a continuous experience; leadership can trust, audit, and act on. Explore this approach in their CausalX solution [blog](https://celebaltech.com/about-us/resources/blogs/causalx-and-databricks). **CI&T** The [ Single Interface Multi-Agent System for Genie Orchestration](https://ciandt.com/us/en-us/genie) revolutionizes user interaction by providing a unified gateway that integrates multiple communication channels, including WhatsApp, Teams, and Gemini via A2A APIs. This system enables seamless access to various domains and Genie spaces, while also incorporating internal documentation for enhanced support. Central to this solution is a supervisor agent that intelligently assesses user requests, determining appropriate access rights and business context. It orchestrates interactions with specialized agents, ensuring requests are triaged effectively and routed to the correct domain. Additionally, Lakebase serves as a context memory, enriching session continuity and user experience. Read this **Colibri Digital** Colibri Digital’s **Data Market Portal**, Aviary, enables users to quickly find, understand, and access the right data for their needs without requiring technical expertise or specialist support. It is built as a Databricks Apps on their bespoke Hummingbird framework, which orchestrates end-to-end data pipelines from multi-source ingestion through to curated consumption. Data is ingested via their proprietary Colibri Foundry, and progressed through a structured transformation pipeline covering data cleansing, standardization, and modeling, resulting in governed, consumption-ready datasets. Through Aviary’s simple, intuitive interface, users can ask natural language questions—such as identifying datasets containing specific operational or customer insights. This is powered by Databricks Genie, which interprets user intent and performs context-aware searches across the catalog, leveraging metadata and tags to return relevant, governed datasets. Selected results are served back to the UI with ultra-low latency via Lakebase’s app-ready lakehouse synchronization. Read this [blog](https://colibridigital.io/insights/turning-data-into-answers-with-databricks) to learn more. **Cognizant****Hybrid Intelligence System: **Enterprise teams drowning in siloed structured and unstructured data rarely get precise answers from off-the-shelf AI tools. Cognizant engineered a Hybrid Intelligence System on Databricks that routes natural language queries dynamically between Genie-powered SQL analytics and RAG-based document intelligence — all within a single MLflow serving endpoint. To support over 25,000 Genie calls, a semantic caching layer was built atop the architecture, eliminating 30–60% of redundant inference costs. The result: Expert research time slashed from hours to under a minute, 97%+ retrieval precision, and a multi-domain framework serving multiple specialized agent workflows on shared, zero-idle-cost serverless infrastructure. Read this [blog](https://medium.com/@srivathsanrl/the-problem-no-one-talks-about-in-enterprise-ai-4bb9c6da2c5e) to learn more. **Datapao** **Genie for Microsoft Teams - Conversational Analytics at Your Fingertips:** Datapao's Conversational Analytics Hub embeds Databricks Genie directly into Microsoft Teams, bringing natural-language access to governed lakehouse data into the collaboration environment where business users already operate. The solution enables employees across functions to query trusted data assets, surface insights, and make informed decisions without switching tools or relying on technical intermediaries. Built on Unity Catalog, it ensures secure, governed access while accelerating the democratization of data across the enterprise. Proven in multiple enterprise deployments, the integration reduces time-to-insight, alleviates pressure on data teams, and expands Databricks adoption among non-technical personas in Teams-centric organizations. The **Datapao Hyper-Personalization Accelerator** combines Databricks Genie and Lakebase to deliver real-time, individualized customer experiences at enterprise scale. The solution unifies analytical intelligence from the lakehouse with low-latency operational serving, enabling marketing, e-commerce, and customer experience teams to generate tailored recommendations, content, and offers with sub-second responsiveness. Business users can explore customer segments and validate personalization hypotheses through natural-language queries in Genie, while Lakebase powers the production-grade serving layer for live applications. Built on Unity Catalog for governed, compliant access to customer data, the accelerator provides a repeatable blueprint for operationalizing personalization across industries. Read this [blog](https://datapao.com/hyper-personalisation-in-banking/) to learn more. **Deloitte ** Deloitte’s **Neptune data portal** embeds Databricks Genie to make analytics truly conversational. Connected natively to Unity Catalog, Genie lets business users ask questions in everyday language and get governed, ready-to-run SQL plus clear explanations, directly against certified data products. Users can combine and compare datasets across the catalog without needing to know where they live or how they’re structured, dramatically shortening the path from question to insight. As teams use Neptune, Genie is continuously tuned with their business vocabulary, KPIs, and context, so answers become progressively smarter, more relevant, and better aligned with how the business actually runs. **Delta Ledger** by Deloitte makes Databricks cost management simple, transparent, and scalable. Deloitte’s proprietary solution gives business leaders and administrators one platform to create, edit, and monitor budgets across Databricks spend, workspaces, SKUs, and custom tags. Users can set time frames, configure alert thresholds, review active and historical budgets, and export reports for compliance or analysis. Integrated alerts and automated workflows keep notifications aligned with budget performance, while detailed visibility helps teams move from cost tracking to cost optimization. Deployment is fast through Declarative Automation Bundles which runs a series of workflows, tables and alerts, plus Databricks Genie to query financial data in natural language, enabling rapid setup and immediate access to advanced FinOps capabilities today. **Diggibyte**[ LinguaGenie](https://diggibyte.com/linguagenie/) is an intelligent application built on top of Databricks Genie that transforms how users interact with data. It enables voice-based input and supports multiple languages, allowing business users to query data naturally without relying on technical skills or SQL. The app converts spoken queries into actionable insights, leveraging Databricks. It also delivers business-specific visualizations for finance, sales, and operations. These dashboards highlight trends and patterns instantly. LinguaGenie improves accessibility, accelerates decisions, and bridges data and business teams, offering a modern, inclusive, intuitive analytics experience for enterprises. It scales securely across organizations while reducing dependency on data experts cost efficiency. Read this **DXC**[DXC](https://dxc.com/insights/customer-stories/accelerating-dxc-enterprise-data-vision-with-databricks) is deploying Databricks Genie with clients across multiple industries, including telecommunications, public sector and numerous customers across retail, manufacturing and transportation. DXC helps clients use Genie to discover data through natural language search, improving data literacy and accelerating insight generation from client’s Databricks data. Genie is also incorporated as part of our AI-enabled data pipeline generation accelerators, enabling faster onboarding of new data products. Internally, DXC uses Genie as [Customer 0](https://dxc.com/insights/customer-stories/accelerating-dxc-enterprise-data-vision-with-databricks) for analytics across staffing, sales, and operational use cases, and exposes it as an MCP Server for AI agents to access data in Databricks. **Entrada** Entrada's **Serverless Cost Control Accelerator** unifies diverse cost telemetry - warehouse usage, job spend, business-unit allocation, system-level signals - into a single view of Serverless consumption. This accelerator replaces fragmented reporting with reusable cost models, telemetry pipelines, dashboards, and standardized chargeback workflows. Built-in Unity Catalog governance and Lakebase federation ensure secure, auditable, real-time cost attribution. Leveraging Genie Spaces, the accelerator enables teams to query spend, usage patterns, and cost drivers in plain language, surface inefficiencies instantly, and act decisively to reduce waste. Read this [blog](https://entrada.ai/databricks-finops-cost-control-genie/) to learn more. Entrada's [ DataPact](https://entrada.ai/datapact/) is a Databricks-native migration validation and data quality accelerator that automates source-to-target reconciliation - replacing manual spot-checking with repeatable, auditable workflows. Using YAML-defined rules, Unity Catalog governance, Databricks SQL Serverless, and Delta-backed audit history, it powers faster sign-off, regulatory evidence, and CI/CD quality gates. At its core, Genie enables natural-language exploration of trusted validation outputs, letting business, governance, and engineering users ask questions about quality trends, failures, lineage, and sign-off readiness - no SQL required. Paired with AI/BI dashboards, DataPact turns validation into governed, business-ready insight. Read this Entrada’s **Governance Atlas** is a workspace-portable Databricks App accelerator that turns Unity Catalog into a product-grade governance operating surface. It unifies search-first discovery, lineage tracing, glossary management, native writeback workflows - eliminating metadata drift through authoritative updates pushed directly back into Unity Catalog. Delivered as governance-as-code via Databricks Asset Bundles, the accelerator ensures version-controlled, reproducible, and fully auditable deployments. Genie API and Lakebase integration enables agentic querying of the business glossary and production assets with actionable insights. Powered by Databricks SQL Warehouses, it scales concurrent metadata operations across the enterprise. Read this [blog](https://entrada.ai/governance-atlas-unity-catalog-genie-lakebase/) to learn more. **Everforth Apex** The **Genie Reliability Layer** is Everforth Apex's production pattern that transforms Databricks AI/BI Genie from a compelling demo into the system operations teams open first every morning. Built around five proven practices, separating SQL generation from execution, status-aware polling with graceful fallbacks, tightly scoped semantic surfaces, audit-driven observability, and an Agent Supervisor that routes questions and enforces guardrails. It wraps Genie with logging, Unity Catalog inference tables, Lakehouse Monitoring, and nightly LLM-as-judge evaluation. The result: auditable, reproducible answers, measurable P50/P95 latency, and reliability that compounds over time across utilities, energy, healthcare, and public sector deployments. Read this [ blog](https://www.apexsystems.com/insights/article/how-do-we-make-databricks-genie-reliable-enough) to learn more. **EY****EY’s Intelligent Loan Document Processing solution**, built on Databricks, brings together agent-driven automation and intuitive user interaction to simplify how banks handle complex loan data. Using Agent Bricks along with Genie Spaces and Genie Code, it can read, extract, and validate information from large volumes of unstructured loan documents, while keeping everything traceable and audit-ready. Teams can quickly search, question, and validate results through natural language, instead of digging through files manually. In practice, this means significantly less manual work (up to 60% reduction), faster turnaround on credit reviews, and more consistent, reliable outputs for downstream decision-making. **MET – Model Ecosystem Transformation:** The Model Ecosystem Transformation focuses on making the model development lifecycle feel less fragmented and more product-like on Databricks. Teams use Genie Code and Genie Spaces to simplify how models are built, tested, and accessed, while AI/BI dashboards make outputs easier to consume for business users. Databricks Apps provides a clean way to package everything into re-usable App rather than scattered notebooks. Behind the scenes, Lakebase helps bridge the gap between analytics and realtime applications—supporting low latency model serving, state management for agent workflows, and seamless integration with governed data. This makes it easier to move from experimentation to production and actually operationalize models at scale. **EY - AI Ready Data (AIRD):** EY AIRD, built on Databricks, gives financial institutions a more practical way to get to trusted, AI ready data without heavy engineering overhead. By combining Genie and Unity Catalog with a governed data layer, users can explore, transform, and validate data using simple natural language instead of relying on technical teams. Lakebase plays a key role on the operational side—serving curated data from the Lakehouse into low latency applications and workflows. The result is a platform that connects data engineering, AI, and business usage more tightly, reduces manual effort, and helps teams move faster from raw data to decisions with confidence and proper governance built in. EY’s **Self-Healing Data Quality (DQMX)** solution, built on Databricks, combines automated data quality monitoring with agent-driven remediation to keep enterprise data reliable at scale. Using Genie Spaces and Databricks Apps, users can investigate anomalies, trace root causes, and trigger corrective actions through natural language rather than manual rule analysis. Integrated with governed data in Unity Catalog, DQMX continuously detects, diagnoses, and resolves data issues across pipelines. The result is ~50–60% less debugging time, ~40–50% improved rule creation efficiency, and consistently trusted data feeding analytics, AI models, and downstream business processes. **Fractal Analytics****AI/BI Modernization with Databricks Genie:** This solution accelerates retail decision intelligence by modernizing legacy Qlik reporting into Databricks AI/BI Dashboards and Genie-powered analytics. Built on a Databricks Lakehouse, it re-anchors data, semantics, and KPIs on Databricks to address tool sprawl, semantic inconsistency, and limited AI readiness. Databricks Genie enables business and analyst users to explore governed retail data using natural language, supporting exploratory, AI-led, and cross-domain analysis across sales, supply chain, promotions, and loyalty data. Critical Qlik content is rationalized and selectively migrated to Power BI for executive and operational reporting, while Genie and AI/BI Dashboards are used for high-change, high-question workloads. The result is higher trust in KPIs, faster decision-making, and a scalable foundation for AI/BI-led retail analytics. Read this [blog](https://fractal.ai/blog/accelerating-retail-decision-intelligence-with-ai-driven-analytics) to learn more. **Genpact****GTransform:** Genpact's GTransform converts legacy Alteryx, OBIEE, SAS, and Talend code into production-ready Databricks notebooks. The pipeline parses source files using a Knowledge Graph to map relationships and business logic accurately, then generates plain-English summaries for human review. Databricks Genie provides a conversational interface where reviewers can ask questions, explore workflow logic, and refine requirements before the AI produces final code, guided by Genpact's templates encoding best practices from previous engagements. A validation pass feeds errors back into generation, so each re-run produces cleaner code. What used to take weeks becomes a governed migration pipeline on Databricks. **GlobalLogic** A conversational “talk -to-your-data” experience powered by Genie and embedded directly within GlobalLogic's [Observation Deck](https://www.clearpeaks.com/accelerators/executive-analytics-observation-deck/) application for executive dashboards, allows leaders to ask natural language questions about data behind their dashboards. Behind the scenes, an intelligent orchestration layer interprets the question, determines the most relevant Genie space, validates results against governance rules, and synthesizes a concise, executive-ready response, enriching it with additional insights, suggested actions and ad-hoc visual representations. **IBM** The **Data Steward Assistance Framework** leverages Databricks Genie to revolutionize data governance by enabling data stewards to access quality and metadata insights through natural language queries. This AI-powered solution eliminates manual navigation of governance tables and SQL scripting, accelerating validation and cataloging tasks. Genie interprets user questions, generates optimized SQL, and presents results in an intuitive format. Predefined behavioral instructions, curated datasets, explicit table relationships, and reusable query patterns ensure accuracy and efficiency. The framework highlights governance gaps, visualizes data quality scores, and streamlines stewardship, empowering organizations to maintain robust data governance with minimal technical overhead. Read this [blog](https://www.neudesic.com/blog/turning-data-steward-work-conversational-experience-data-steward-genie/) to learn more. **iLink ** iLink's [ iCore Entity Resolution Accelerator](https://www.ilink-digital.com/services/icore) eliminates fragmented master data by delivering a trusted Single Source of Truth — natively integrated with Databricks' Data Intelligence Platform and Unity Catalog. iCore enables scalable entity matching, merging, and resolution using fuzzy match logic and deterministic techniques, configured through an intuitive UI without lengthy MDM programs. By cleansing and unifying customer, patient, product, and supplier records directly within Databricks, iCore unlocks the full potential of Genie's AI-powered analytics on reliable, governed data. The result: elimination of duplicate records, consistent reporting, reduced operational inefficiencies, and AI-ready master data — all within a lightweight, enterprise-ready deployment model. **Infocepts** **Observability Solution:** Enterprise Data & AI leaders face the multi-faced challenge of managing data platform costs, performance, pipeline health, and AI sprawl. Infocepts Databricks Observability built natively with Unity Catalog, Lakeflow, AI/BI Genie, AgentBricks, Lakebase, Databricks Apps addresses these needs proactively. It provides a governed intelligence layer which continuously observes, understands, decides, and optimizes the Databricks platform for cost, health and performance. It serves six personas — FinOps, Platform Engineers, Data Leaders, Data Engineers, Governance teams, and AI/ML Leads — each receiving role-specific, KPI-ready, AI-powered insights on one trusted platform. Check out the [demo](https://eb1x.co/gBZ2JPg) here. **Infosys****DE.ai **is an agentic AI–driven data engineering paradigm purpose-built for the Databricks ecosystem, enabling autonomous planning with context-aware code generation and human-in-the-loop validation. It integrates deeply with Databricks through Model Context Protocol (MCP) and is grounded in Delta Live Tables, Unity Catalog metadata and Genie. The solution delivers production-ready pipelines aligned with medallion architecture principles, embedding enterprise standards, governance, and security from the outset while reducing friction between business intent and deployment. Databricks Genie serves as a conversational AI layer empowering data engineers and analysts. It is ideal for greenfield Databricks implementations, legacy modernization from platforms like Informatica or Teradata, and organizations with stringent enterprise governance and compliance requirements. **DA.ai** is an agentic, AI‑driven platform that transforms how engineers and analysts prepare, explore, and operationalize data. Its dual‑surface architecture combines rapid local productivity with enterprise‑grade scalability and governance, converting natural language into deterministic, explainable Python/SQL with full lineage. It enables seamless collaboration on governed artifacts, accelerating the path from exploration to production-ready Databricks pipelines. Through the Unity AI Gateway, DA.ai connects to enterprise AI models in a controlled manner, while deep integration with Unity Catalog ensures governance-first data access. Native connectivity to Lakeflow Spark Declarative Pipelines and shared assets enhances reliability. Leveraging Databricks Genie, DA.ai enables conversational analytics and semantic-layer-driven insights for business users. **Indicium AI****AI/BI Migration Engine:** AI/BI Migration Engine accelerates the transition from legacy BI tools such as Power BI to AI-native analytics on Databricks. The accelerator parses semantic models, extracts business logic, and converts metrics and queries into governed, AI-ready structures aligned with Unity Catalog. It enables immediate consumption through Databricks Genie, unlocking conversational analytics and what-if exploration for business users. By automating traditionally manual migration processes, it reduces effort, improves consistency, and shortens time-to-value. The solution also reduces reliance on license-based BI tools, lowering total cost of ownership while enabling scalable, usage-based analytics and driving enterprise-wide AI adoption. Read this [blog](https://indicium.ai/content-hub/from-ai-strategy-to-pl-impact-the-transition-most-enterprises-cant-execute) to learn more. **Koantek** **Koantek **[ Ascend AI/BI & Genie](https://koantek-new-website.webflow.io/ascend-ai-bi-genie-brickbuilder) accelerates scaling Databricks Genie and AI/BI Dashboards from blueprint to enterprise rollout on Unity Catalog. Five horizontal modules (Genie Space Factory, MetricForge, ConvertBI, InsightEmbed, and OneDeploy) plus four industry accelerators (Healthcare, Financial Services, Retail/CPG, Manufacturing) collapse Genie space authoring from 10-15 days to 3 days per domain, auto-generate certified Metric Views from SQL and DAX, migrate Power BI and Tableau estates with parallel-run parity, embed Genie in external products, and roll out Genie UI to 100-500 users with reversible onboarding. The accelerator is customer-evidenced across semiconductor, professional services, life sciences, and manufacturing. Read this **LatentView Analytics****BrickShift** is an AI-powered solution designed to accelerate migration from legacy BI platforms such as Power BI and Tableau to modern Databricks AI/BI environments. It enables seamless semantic layer conversion by translating proprietary calculations like DAX and LODs into standardized Databricks SQL. The platform automates dashboard replication, ensuring 1:1 visual consistency, while extracting metadata to map lineage and logic. BrickShift also performs AI-driven validation and reconciliation to ensure data accuracy. With built-in governance, role migration, and BI estate optimization, it delivers end-to-end modernization, improving scalability, efficiency, and decision-making across enterprise analytics ecosystems. Read this [blog](https://www.latentview.com/blog/bi-migration-to-databricks-brickshift-guide/) to learn more. **Lovelytics****DocInsights: **Lovelytics built DocInsight to show what's possible when AI meets the modern lakehouse. DocInsight automates the extraction of structured data from unstructured documents - contracts, drilling reports, tax filings, and more - using native Databricks capabilities including ai_parse_document and Agent Bricks. Extracted content lands directly in Lakebase, giving business teams a governed, queryable foundation for analytics from day one. Once data is structured, Databricks Genie transforms how users interact with it: instead of building queries, reviewers simply ask questions and get answers - straight from the documents themselves. The result is a full pipeline from raw PDF to business decision, built entirely on Databricks. Watch this [demo](https://www.youtube.com/watch?v=EEXfWHP9YrQ) and read this [blog](https://lovelytics.com/post/your-business-is-drowning-in-documents-fix-that-with-databricks/) to learn more. **Mastek** Mastek's **Genie Intelligence Hub** deploys the full Databricks Genie ecosystem as a production-ready, domain-agnostic platform. Business users across finance, operations, and commercial teams gain natural language access to live enterprise data through Genie Spaces — asking complex questions and receiving cited, governed answers without writing a single line of code. The Genie Research Agent performs autonomous multi-step analysis, surfacing root causes and business anomalies proactively. Integrated with Unity Catalog, Delta Live Tables, and Lakehouse Monitor, the accelerator includes Mastek's pre-built semantic layer library, domain data models, and self-healing pipeline templates — enabling organizations to realize business value from Genie in weeks rather than months. **MathCo** **Advanced Unified Response Analytics (AURA)****: **Scaling Databricks AI/BI beyond the pilot team is where most enterprises discover what they didn’t build — governance policy, cross-domain orchestration, persistent memory, evaluation baselines. AURA is a Databricks-native accelerator that installs that missing layer before the pilot ends. Pre-built Domain Packs, Unity Catalog-enforced governance, and continuous evaluation pipelines compress rollout timelines by 40-60% — and prevent the orchestration debt that quietly kills most enterprise AI deployments. Production-grade, multi-domain Genie from day one. It enables reusable orchestration, governed scalability, and faster enterprise adoption across domains. Watch this [demo](https://vimeo.com/1189315947?fl=pl&fe=sh) and read this [blog](https://mathco.com/blog/aura-unified-intelligence-for-real-time-decision-making/) to learn more. **Perficient** Perficient's **Genie-Ready BI Migration Accelerator** automates the discovery, profiling, and Unity Catalog preparation required to replace Azure Synapse and Power BI workloads with AI/BI Genie on Databricks. An agentic discovery layer crawls existing BI reports and source datasets, profiles schema semantics and data quality, and evaluates Unity Catalog metadata readiness, flagging which assets are immediately Genie-ready versus those requiring remediation before natural language queries return trusted answers. The accelerator generates UC-aligned business definitions, semantic tags, and data quality recommendations that power Genie's conversational analytics layer, compressing the migration of thousands of BI assets from months to weeks. **GenieClaw with Governed Hierarchical Assistant Standards on Databricks**: GenieClaw is an enterprise-grade, Databricks‑native autonomous operations agent that operationalizes governance—not just automation. GenieClaw embeds governance, precedence, and auditability directly into how automation is designed, deployed, and executed. The Hierarchical Assistant Standards Architecture illustrates this philosophy in practice—demonstrating how GenieClaw enforces corporate, departmental, and project‑level controls without bypassing Databricks’ native security or enterprise operating models. **Persistent Systems****iAURA Semantic Data Modeler** accelerates the creation of a governed semantic layer on Databricks by standardizing business metrics, dimensions, and definitions directly on the lakehouse. It assists in extracting existing business logic from BI tools and curated Gold data, converts it into platform-native semantic constructs such as Unity Catalog Metric Views, and enriches them with AI-ready metadata. This enables consistent metric computation across Databricks-native dashboards, SQL, APIs, and conversational analytics. By separating business meaning from physical data structures, iAURA enables scalable self-service analytics, improves Genie answer accuracy, and reduces metric drift without requiring changes to existing data pipelines. Read this [blog](https://www.persistent.com/blogs/when-your-data-has-all-the-answers-but-nobody-knows-how-to-ask/) to learn more. **Slalom** One of Slalom’s public sector customers is modernizing emergency response by using AI-powered tools like [LakeSpeak](https://go.slalom.com/lakespeak?_gl=1*1r0i91p*_gcl_au*NzYwMzU4OTM1LjE3NzI1ODkzMjA), Slalom’s MCP powered Brickbuilder accelerator, to create dynamic, real-time Situation Reports. This enhances decision-making, reduces manual reporting, and offers an AI assistant for targeted data queries during disasters. LakeSpeak delivers a secure, standardized gateway to expose Databricks Genie and Lakebase to external apps, agents, and enterprise users - without duplicating logic, breaking governance, or rewriting integration patterns. Read this [blog](https://medium.com/slalom-blog/lakespeak-unifying-graph-intelligence-with-enterprise-analytics-on-databricks-e6dae8a1532e) to learn more. **SoftServe****SoftServe Genie Express** is an accelerated AI adoption pattern relying on Databricks built-in capabilities for conversational analytics, semantic modeling, and governance. Within 4 weeks SoftServe will analyze customer's business use cases and the data available in their Lakehouse, and stand up Genie spaces backed by tailored Unity Catalog Business Semantics models and individual Knowledge Stores providing agents with rich use case context. Customers receive conversational chat bots for access via Databricks Genie, embedded into their applications, or integrated into a wider agentic ecosystem via Conversational API. Watch this [demo](https://www.youtube.com/watch?v=XrGZQuDzyEI) and read this [blog](https://www.softserveinc.com/en-us/blog/softserve-genie-express) to learn more. **SoftServe IDP with Databricks Genie: **Not all business intelligence lives in data warehouses - a huge portion of it is locked in unstructured documents: invoices, claims, contracts, forms and more. Unlock the value of enterprise documents with SoftServe Intelligent Document Processing solution built on Databricks Document Intelligence and Genie. Seamlessly ingest content from SharePoint, Google Drive, and other repositories and apply advanced AI to understand unstructured data. Automatically classify content, extract key data points, and transform information into structured document models. Use Databricks Genie to search individual documents, answer governance and audit questions, extract business insights, and navigate content with confidence. Read this [blog](https://www.softserveinc.com/en-us/blog/document-intelligence-with-databricks-genie) to learn more. **Solita** Solita **BenchForge** for Databricks Genie is a benchmark‑driven accelerator for Databricks Genie that helps teams evaluate and refine Genie Spaces using native Genie APIs instead of manual trial and error. It treats Genie Space curation as a measurable workflow: exporting a space, applying a candidate serialized_space revision, running benchmark questions through the Conversation API, and comparing before‑and‑after results to detect improvement or regression. The current repository demonstrates this core loop with a working benchmark harness, Genie API client, and comparison artifacts. Unity Catalog context, DSPy integrations, or optional GEPA‑based patch generation can extend the workflow over time. The core value today is a repeatable, evidence‑based Genie Space evaluation loop. Read this [blog](https://www.solita.fi/blogs/how-solita-benchforge-for-databricks-genie-turns-databricks-genie-space-curation-into-a-benchmark-driven-workflow/) to learn more. **Syren Cloud****GenieBoost** is an Intelligent Metadata Engineering accelerator born from SyrenCloud’s extensive experience fine-tuning and deploying Genie for global enterprises. Recognizing that scaling Databricks’ Genie best practices is a manual bottleneck, GenieBoost automates the semantic enrichment of Unity Catalog metadata via a proprietary Semantic Intelligence Engine. It transforms raw schemas into high-fidelity business logic, backed by a first-of-its-kind Autonomous Evaluation Loop. This system deploys automated benchmarks to continuously audit and self-heal the semantic layer. By codifying expert-level setup standards suggested by Databricks, GenieBoost ensures every Genie Space is production-ready, governed, and precision-tuned for enterprise-scale AI/BI adoption. **Systech Solutions****AgentBuild:** Business teams are still waiting for answers. Reports get built, dashboards get shared, and decisions still get delayed. AgentBuild changes that. In four weeks, Systech takes one real business use case - sales pipeline, financial planning, customer retention, supply chain - and delivers a production-ready AI agent on Databricks that business teams own and operate from day one. It asks their data questions the way people do, in plain language. It acts on the answers. It is powered by Databricks Genie for trusted data retrieval, governed by Unity Catalog, and built for customer's business - not a proof of concept. Watch this [demo](https://www.youtube.com/watch?v=it9TymbQEhU) on insurance fraud detection with AI on Databricks Genie and read this [blog](https://systechusa.com/articles/how-systech-built-an-ai-powered-fraud-investigation/) to learn more. **Tech Mahindra** The **Data Product Manager** is an agentic AI-powered solution built on the Databricks Lakehouse that helps enterprises transform metadata into high-quality, business-ready data products. Leveraging Databricks Agent Bricks and Genie, it uses a supervisor–worker multi-agent architecture to automate the complete “Ideate to Insight” lifecycle. This includes discovering and prioritizing use cases, designing reusable data assets, managing dependencies, and delivering governed, consumable data products. By minimizing manual effort and standardizing best practices, the solution accelerates time-to-value, improves data consistency, and enables organizations to scale data product creation efficiently while aligning data initiatives closely with business outcomes. **Talk To Data**: Talk To Data lets business users ask questions and get insights from enterprise data using natural language—no SQL required. Powered by Databricks Genie, it delivers fast, secure, and governed insights across industries like telecom, banking, insurance, and retail, enabling decisions in seconds, not weeks. **Thorogood****Scalable Conversational Analytics powered by Databricks Genie****:** Thorogood’s Accelerator combines a phased delivery model with a configuration-driven architecture, allowing new Genie workspaces, Databricks tools, and MCP-connected services to be onboarded without significant rework. This makes the solution highly scalable. The solution connects Genie Spaces and a Databricks AI Search index containing Power BI report descriptions, enabling the agent to link relevant reports to user queries. Through these connections, business users can query governed, consumption-ready datasets using natural language, removing the dependency on SQL expertise and making data insights accessible across the organization. The accelerator delivers value within weeks while maintaining enterprise-grade governance and security. **T1A**[ Genie Forge](https://t1a.com/gf) helps organizations turn Databricks Genie Spaces into a repeatable business capability instead of a manual, time-intensive setup process. By automating routine configuration work and using historical usage patterns to shape each space around real business questions, Genie Forge can reduce initial setup effort by 60-70%, typically saving 20-30 hours per space. Before the first launch, built-in evaluation and autoresearch refine the initial setup to improve answer quality and confidence, helping teams start with a more reliable, business-ready Genie experience from day one. Watch this **Tieto** **Tech Consulting Analyzer Accelerator: **Using Databricks Genie Spaces with Metric Views has been a game-changer for building Tieto Tech Consulting Analyzer Accelerator. Genie efficiently surfaces governed customer data as trusted context, enabling Tieto's agent to deliver highly accurate responses to complex analytical questions. They achieved outstanding results: 90% accuracy across evaluations by more than 10 LLM judges. This approach has allowed them to rapidly integrate and deploy the accelerator with customers, driving faster, more reliable AI-powered insights and real business value. Read this [blog](https://www.linkedin.com/pulse/governed-ai-manufacturing-databricks-genie-tieto-tech-consulting-owjnf/) to learn more. **Tiger Analytics****ReimagineBI:** ReimagineBI is an innovative solution by Tiger Analytics aimed at transforming the enterprise analytics landscape by integrating advanced artificial intelligence into the business intelligence (BI) framework. Leveraging the capabilities of Databricks, the platform offers personalized dashboards, automated insights, and a user-friendly natural language querying interface, all managed through a cohesive lakehouse architecture. At the core of this solution is Databricks Genie, a semantic query engine designed to convert natural language business inquiries into SQL queries against Unity Catalog tables. This not only safeguards data governance and enforces column-level security but also facilitates comprehensive lineage tracking, thereby empowering non-technical users to navigate and analyze governed data effortlessly, without the need for coding expertise. Through ReimagineBI, Tiger Analytics champions a new era of accessible, insights-driven decision-making for enterprises. **Tredence****RAPID - Agentic Discovery Accelerator for Databricks Genie****: **Powered by the Tredence Milky Way, RAPID automates the journey from baseline Genie space to production-ready accuracy. Using agentic AI, it runs benchmark questions against a Genie space, diagnoses why answers fail — classifying issues across schema, joins, values, metrics, and business rules — then programmatically applies fixes to Unity Catalog metadata and Genie space configuration. A built-in regression guard ensures no fix breaks previously passing questions. The closed-loop system collapses weeks of manual iteration into hours, delivering quantified accuracy reports that build stakeholder trust before user acceptance testing. RAPID is domain-agnostic and fully contained within the Databricks workspace. **V4C****Genie Space Health Score:** Most Databricks Genie AI/BI spaces are under-configured. Customers attach tables, write brief instructions, and go live — without metric views, trusted assets, UC metadata, benchmarking, or mode awareness. The result is inconsistent answers, low adoption, and no clear path to improvement. The Genie Space Health Accelerator fixes this. It is a single Databricks notebook that automatically interrogates any Genie Space via REST APIs, scores it across six best-practice dimensions, and renders a professional health report — complete with a radar chart, gap analysis, prioritized action plan, and copy-ready templates. One Space ID. Run All. Done. No external dependencies. No manual effort. **Genie Space Promoter:** Databricks Genie Spaces have no native promotion path in Declarative Automation Bundles today. V4C.ai's Genie Space Promoter is a Terraform-based accelerator that fills this gap — enabling teams to promote Genie Spaces from Dev to Staging to Production in a single command, without any manual API calls or workspace recreation. Built on Databricks REST API 2.0, the accelerator is config-driven, idempotent, and supports multi-catalog remapping across environments. Each space promotes independently with retry logic, structured logging, and full state tracking. Reusable across any client engagement, it integrates cleanly into Azure DevOps and GitHub Actions pipelines with zero code changes required. **Genie Sentiment Analysis: **The Genie Sentiment Accelerator is a production-ready Databricks Declarative Automation Bundles that automatically instruments any Genie AI/BI space with real-time sentiment analysis — requiring zero external infrastructure. It reads directly from system.access.audit, fetches question text via the Genie REST API, and scores every user interaction using native Databricks AI Functions (ai_analyze_sentiment and ai_classify). Behavioral signals detect frustrated sessions and unanswered questions automatically. Results surface through a pre-built Lakeview AI/BI dashboard showing sentiment trends, topic breakdowns, and engagement health across any number of Genie spaces. The entire pipeline deploys with a single Databricks bundle deploy command, making it instantly reusable across client engagements with no code changes. **Wavicle Data Solutions** Wavicle’s **EZConvertBI for AI/BI**, an analytics command center, streamlines the customer adoption of Databricks AI/BI Genie by introducing an Agentic BI-layer that enables conversational analytics while maintaining metric integrity and business continuity. This agentic BI solution supports a seamless, adoption safe shift from legacy BI to AI‑first analytics by identifying high‑value dashboards, migrating them into Databricks AI/BI with Genie space semantic knowledge, while addressing user and KPI trust challenges. Business users can leverage natural‑language analytics and Genie‑powered insights without retraining or disruptive transitions. By gradually moving from dashboards to conversational BI and AI agents, Wavicle enables Databricks customers to accelerate Genie adoption, minimize dependence on legacy BI tools, and achieve governed, enterprise ready AI analytics at scale. Check out this [demo](https://wavicledata.com/video-demo-analytics-command-center/) and read this [blog](https://wavicledata.com/blog/a-trusted-path-to-databricks-genie-adoption-without-breaking-kpis-or-trust/) to learn more. **Bitwise Global****Proactive Sales Pipeline Intelligence Platform****:** Bitwise offers a Genie-powered Sales Intelligence solution built on the Databricks Data Intelligence Platform to help organizations modernize and optimize sales operations. The solution addresses challenges such as fragmented CRM data, limited pipeline visibility, manual reporting, and reactive decision-making by unifying sales and engagement data into a governed analytics environment. Leveraging pre-built sales models, machine learning, and Genie AI, Bitwise enables predictive insights including deal risk scoring, revenue forecasting, win probability prediction, and sales performance analysis. With conversational analytics capabilities, business intelligence users can access insights using natural language queries, enabling faster, data-driven decisions, improved forecasting accuracy, increased sales productivity, and accelerated revenue growth. Read this [blog](https://bitwiseglobal.com/insights/enabling-proactive-sales-pipeline-intelligence-with-databricks-genie-ai) to learn more. **KPI Partners** KPI Partners' [ Agentic Proposal Generator](https://www.kpipartners.com/kpi-partners-agentic-proposal-generator-on-databricks-kpi-partners), built on Databricks Agent Bricks and Lakebase, transforms enterprise sales by generating hyper-personalized proposals in minutes instead of days. Powered by a multi-agent architecture — spanning Agent Bricks Knowledge Assistant, Information Extraction, RFP Analyzer, Supervisor, and Compliance Guardrail agents — the solution grounds AI in live enterprise data served at low latency through Lakebase. Customer CRM records, product catalogs, CPQ pricing intelligence, and historical win data are hydrated via MCP directly into agent context, enabling proposals precisely tailored to buyer personas and business constraints. The result: a 10X faster proposal cycle, higher win rates, and captured institutional knowledge — all on Databricks. Read this **EPAM****Marketing Intelligence:** CMOs and marketing teams sit on top of vast campaign, consumer, and market-research datasets but rely on BI bottlenecks to extract insight — by the time the answer arrives, the campaign has moved on. EPAM's Marketing Intelligence accelerator places Databricks Genie directly in front of marketing data. Pre-configured Genie spaces, governed through Unity Catalog, allow marketers to ask natural-language questions about campaign ROI, consumer sentiment, and competitive positioning, with answers grounded in the underlying data and traceable back to source. The accelerator is built around Databricks' Campaign ROI & Attribution and Marketing Measurement priority domains. It is deployed with an iconic global maintenance products brand, and with a German luxury automotive group, to accelerate marketing decision velocity. **LatentView Analytics**[ PRISM](https://www.latentview.com/prism/) is a campaign measurement solution designed to help organizations optimize marketing spend and maximize ROI through unified, data-driven insights. It enables cross-channel performance measurement by integrating paid and owned media, delivering a holistic view of campaign effectiveness. The platform supports advanced marketing attribution, lead funnel analysis, and conversion optimization to improve pipeline outcomes. With capabilities in audience segmentation and personalization, PRISM enhances targeting precision and engagement. Its predictive spend optimization features guide smarter budget allocation. By providing end-to-end visibility into digital campaigns, PRISM empowers global marketing and demand generation teams to drive measurable impact, improve efficiency, and accelerate business growth. **Perficient** Perficient's **Self-Service Marketing Segmentation Accelerator** on Databricks Apps puts AI-powered audience analysis directly in the hands of marketing teams, no data engineering required. Built on Databricks Apps and AI/BI Genie, the solution enables marketers to define, refine, and explore customer segments through natural language, querying spend patterns, channel performance, and audience overlap conversationally. Genie serves as the embedded research layer, surfacing insights, and model refinement recommendations in real time. Agentic data quality and profiling agents validate that segmentation inputs meet Unity Catalog governance standards, so small-budget teams can operate with the same data confidence as an enterprise analytics organization. **Tenarai**[ Tenarai’s Bolt ‘Self-Serve Analytics in Action’](https://www.tenarai.com/partners-databricks) empowers Sales and Marketing leaders to move beyond sifting through dashboards to driving important decisions with quick insights. By operationalizing Databricks Genie on a foundation of Unity Catalog, Tenarai bridges the "last mile" bottleneck of manual data requests. Using Agent Mode for multi-step reasoning and a curated Knowledge Store, the solution delivers governed, natural language answers in seconds. Scaled for a Global Nutrition Leader across 40+ countries, this architecture significantly reduces ad-hoc reporting while ensuring 100% transparency and auditable logic. Watch this **Fractal Analytics** Fractal’s **Learning & Development (L&D) Analytics Chatbot** is a conversational analytics accelerator built using Databricks AI/BI Genie. It allows HR and L&D teams to interact with their learning data using natural language instead of relying on static reports or manual data requests. Business users can ask questions and receive instant, context-aware answers directly from governed enterprise data. The chatbot is tailored to the organization’s terminology and data structures and continuously improves over time through user feedback, ensuring responses remain accurate, relevant, and grounded in business context. Read this [blog](https://fractal.ai/blog/rethinking-learning-and-development-analytics-with-databricks-genie) to learn more. **Hoonartek****Genie Room – Workforce Decision Intelligence: **Enterprises often struggle to derive timely workforce insights due to fragmented HR systems (Workday, payroll, learning platforms, etc.). With Genie operating on governed HR data domains: Users can ask natural-language questions across systems, Genie understands relationships and performs cross-domain analysis, responses are governed, explainable, and consistent. Outcome: True self-service analytics for HR leaders with reduced dependency on BI teams. **Tiger Analytics****Associate 360 AI/BI:** In an effort to gain a comprehensive view of employee data, a large consumer packaged goods firm faced challenges due to diverse systems and unstructured survey data. To address these issues, the company implemented Databricks Genie workspaces, which facilitated conversational slice-and-dice analytics. This strategic move significantly reduced the reliance on manual reporting processes and minimized the burden on technical teams. As a result, the company was able to create a unified data framework that enhanced decision-making and operational efficiency, paving the way for improved organizational insights and future growth. **Bizmetric****What-if Financial Intelligence:** This solution connects Databricks Genie to Oracle Fusion Gold tables — spanning AR, AP, GL, and SLA domains — enabling natural language what-if analysis without SQL. Oracle Fusion ERP data flows through Bronze and Silver Lakehouse layers before landing as curated Gold tables registered in Unity Catalog. Genie queries these tables directly, powering 40+ financial scenarios across four areas: AR collectability, AP obligations and cash flow, GL accuracy, and subledger-to-GL reconciliation. The result shifts finance teams from reactive monthly reporting to proactive, real-time financial intelligence grounded in trusted ERP data. Read this [blog](https://www.bizmetric.com/transforming-oracle-data-into-ai-powered-financial-decisions-with-databricks-genie/) to learn more. **Genpact****Finance One:** Genpact's FinanceOne is a governed data platform on Databricks that gives the Office of the CFO a unified foundation across ERP, EPM, and external sources, including macroeconomic and syndicated signals, as enriched, reconciled ledgers governed by Unity Catalog. A semantic layer and driver graph ensure metrics are defined once and trusted everywhere, while AI accelerates ETL pipeline development. Agentic planning agents handle variance analysis, forecasting, simulation, and benchmarking, turning data into narrative and action. Databricks Genie powers the conversational layer, letting finance teams query trusted data in natural language. Finance One exposes capabilities via MCP Servers, so external agents plug straight into the same trusted foundation. **Hoonartek****CFO Intelligence – Conversational Finance Layer: **Traditional dashboards provide metrics, but lack contextual reasoning. By embedding Genie into finance analytics: Leaders can ask: “Why has NIM declined?”, Genie explains drivers across portfolios and dimensions, provides fast, contextual, and explainable insights. Outcome: Faster, insight-driven decision-making at the executive level. **IBM****Finance Data Control Tower:** Finance leaders are being asked to forecast faster, defend capital, and explain volatility in language the board can act on. Finance Data Control Tower with Genie gives CFO teams a conversational command center across liquidity, capital, working capital, profitability, and forecast variance—turning governed Lakehouse data into natural-language answers, scenario drilldowns, and board-ready narratives. IBM IBV’s 2026 Dynamic Finance research found only 7% of finance organizations have operationalized AI-powered forecasting at enterprise scale, while only 8% operate with fully dynamic planning. Genie helps close that gap by making trusted insight as accessible as asking the next question in real time. **Jarvis Consulting****Jarvis Insights Accelerator**** - Finance-Grade AI Analytics on Databricks Genie:** Energy finance teams still wait days for answers their data already has. The Jarvis Insights Accelerator, built on Databricks, is a finance-grade data architecture and AI analytics layer that lets these teams have real-time natural language conversations with trusted insights. It connects fragmented source systems such as SAP, PI System, and ETRM into a single governed model on Databricks Unity Catalog, with Databricks Genie pre-configured to understand their business, their terminology, and their data. First domain is live in 4 to 6 weeks, fully managed or co-delivered. CFOs make capital decisions before the window closes, and every number is defensible. **KPI Partners** KPI Partners' [ProcurementIQ](https://www.kpipartners.com/procurementiq) grounds AI procurement intelligence in live enterprise contract and spend data, powered by Databricks Agent Bricks, Lakebase, and Genie — enabling low-latency, multi-agent procurement workflows at scale across contract intelligence, spend optimization, and working capital management. A hierarchy of specialist agents - extracting contract intelligence, monitoring spend thresholds, surfacing early payment opportunities, and flagging compliance drift - work continuously on a unified Delta Lake foundation, coordinated by a Supervisor agent that routes signals into buyer-ready recommendations. The result is a shift from reactive reporting to continuous, agentic procurement intelligence compressing the gap between a dashboard signal and a commercial decision from days to minutes. Read this [blog](https://www.kpipartners.com/blogs/from-reactive-reporting-to-continuous-procurement-intelligence-how-kpi-partners-procurementiq-works-on-databricks) to learn more. **Wipro****Wipro Resilience Modeling Suite for Planning: **Wipro Resilience Modeling Suite for Planning is a tri-party integrated business planning solution jointly delivered by Wipro, Databricks, and BOARD, combining Databricks’ Lakehouse and Genie with BOARD’s enterprise planning capabilities and Wipro’s industry and transformation expertise. It enables CFOs and FP&A teams to use natural language to assess tariff impacts, margin risks, and multi-scenario outcomes across plan versions, with transparent explanations of key financial drivers. Built on governed, trusted Lakehouse data integrated with EPM systems, Wipro Resilience Modeling Suite for Planning ensures auditability and SOX alignment. By replacing static dashboards with scenario-aware, explainable AI, it accelerates confident, volatility-ready planning decisions at enterprise scale. Read these blogs ([1](https://www.wipro.com/consulting/articles/navigating-trade-tariff-disruptions-in-global-supply-chains-a-call-to-action/), [2](https://www.wipro.com/travel-and-transportation/articles/navigating-tariff-shifts/), [3](https://www.wipro.com/travel-and-transportation/wipro-agentic-ai-solution-for-tariff-shifts/)) to learn more. **Xebia****Finsight on Databricks Genie:** Xebia Finance Agent(TM), is a conversational analyst for finance teams built on Databricks Genie. From a quarterly snapshot or board-ready summary to a root-cause analysis when a number shifts unexpectedly, it answers plain-English questions in seconds, with the working clearly shown behind every single result. No SQL, no spreadsheets, no BI backlog. Quick to deploy and easy to tune, finance teams shape answers themselves through natural-language instructions and feedback. Row-Level Access Control ensures that every user sees only the data they are permitted to access, and that queries are read-only with audit-ready logic. **Bitwise Global****Proactive Supply Chain Intelligence Platform****: **Bitwise delivers a Supply Chain Intelligence solution built on the Databricks Data Intelligence Platform and Genie to help organizations gain real-time visibility and operational control across complex supply chain ecosystems. The solution integrates data from ERP, warehouse, logistics, and supplier systems into a unified analytics foundation enriched with scalable data engineering, configurable quality controls, and AI-driven insights. By leveraging pre-built supply chain models and machine learning, organizations can proactively detect disruptions, assess supplier risks, optimize inventory decisions, and improve fulfillment performance. With Genie AI, business users can interact with supply chain data conversationally, enabling faster, smarter, and more proactive operational decision-making. Read this [blog](https://bitwiseglobal.com/insights/enabling-proactive-supply-chain-intelligence-with-databricks-genie-ai) to learn more. **EY** EY **Supply Chain Optimization**, built on Databricks, delivers a unified, AI-driven platform to improve visibility, resilience, and performance across complex supply networks. Leveraging Genie, business users can explore inventory positions, supplier risks, and demand signals through simple natural language interactions, eliminating reliance on technical teams. Behind the scenes, real-time orchestration of data, optimization models, and agent workflows is occurring while Unity Catalog ensures governance and traceability. This enables faster scenario analysis, proactive issue detection, and optimized decisions across sourcing, inventory, and logistics—driving efficiency, cost reduction, and improved service levels. **LatentView Analytics**[ ConnectedView - Connected Business Planning](https://www.latentview.com/connectedview/) solution by LatentView intelligently orchestrates end-to-end planning across the enterprise. It integrates data, analytics, and AI-driven insights to sense risks early and enable dynamic recalibration of supply chain decisions. By aligning demand, supply, and financial plans, ConnectedView enhances agility and resilience in complex environments. The platform empowers organizations to optimize service levels, reduce operational costs, and meet ESG objectives. With continuous monitoring and scenario simulation capabilities, it supports proactive decision-making, ensuring businesses remain responsive, efficient, and competitive while navigating uncertainty in today’s rapidly evolving supply chain landscape. Read this **LTM****On Time in Full (OTIF) Risk Predictor:** OTIF Risk Predictive Agent adds a proactive intelligence layer on top of SAP execution to prevent late or short deliveries before they happen. It ingests and standardizes order, inventory, warehouse, and logistics signals into a governed lakehouse feature set, scores each order line for OTIF risk, and surfaces hotspots and today’s priority worklist in dashboards. A predictive agent explains root causes in plain language (inventory gaps, DC constraints, carrier/appointment issues, blocks, ASN/docs) and recommends next-best actions such as reallocation, pick/pack reprioritization, carrier swaps, or appointment recovery. Actions are logged, enabling re-scoring, auditability, and continuous learning to reduce penalties and cost-to-serve. **Shipment Delay Analytics:** The Shipment Delay Analytics solution is built end-to-end on Databricks, leveraging Delta Lake and Unity Catalog for governed data ingestion, storage, and access control. Shipment data is ingested into Databricks Lakehouse for scalable analysis of delay reasons, carrier performance, distance, and geographic trends. Databricks Genie enables business users to generate forecasts through natural language prompts without heavy ML engineering. Results are explored and shared using Databricks SQL and Dashboards for visualization. Together, these Databricks components enable proactive planning, operational optimization, improved SLA adherence, and enhanced customer satisfaction through data-driven insights. **Celebal Technologies****AICXM** by Celebal Technologies transforms contact center conversations into real-time, governed business intelligence on the Databricks Data Intelligence Platform. By embedding agentic AI across the lifecycle, it delivers measurable impact, including a 20% improvement in CSAT, first contact resolution reaching 82%, a 20% reduction in handling time, and a 35% increase in agent productivity. At its core, Databricks Genie acts as a reasoning layer over Unity Catalog-governed data, connecting behavioral signals, compliance patterns, and CSAT drivers in real time. AICXM eliminates “dead dashboards” through natural language interaction, surfacing live, actionable intelligence that drives faster decisions and continuous optimization. Read this [blog](https://celebaltech.com/about-us/resources/blogs/aicxm-databricks-genie) to learn how AICXM and Databricks Genie are replacing static reporting with dynamic, agentic reasoning to redefine contact center excellence. **CGI****Call Center Analytics AI: **CGI and Databricks are helping a leading US utility unlock the full value of customer conversations by turning call center data into real-time, enterprise-wide insight. By combining the Databricks Lakehouse Platform with AI-driven transcription, enrichment and natural language analytics using Genie, the solution enables teams to analyze every interaction, uncover emerging issues faster and act with confidence. Business users can explore trends, identify root causes and improve customer experience without relying on technical teams. The result is a scalable, secure and governed approach that transforms contact centers from operational cost centers into strategic insight engines that drive smarter decisions and measurable business impact. Read this [blog](https://www.cgi.com/en/article/alliances/databricks/listening-at-scale-databricks-and-CGI-transform-utility-customer-calls-into-insight) to learn more. **CGI****AI Ticket Classification: **CGI and Databricks are redefining incident management by transforming fragmented ticket data into actionable intelligence. Instead of relying on inconsistent manual triage, organizations can harness AI to unify structured and unstructured data, enabling smarter classification and faster prioritization at scale. By leveraging the Databricks Data Intelligence Platform, teams gain real-time visibility into trends, uncover root causes and proactively address systemic risks. Conversational analytics with Genie further accelerates decision making by simplifying access to insights across teams. This modern approach reduces escalations, improves SLA performance and shifts operations from reactive response to proactive resilience, delivering measurable value across complex IT environments. Read this [blog](https://www.cgi.com/en/article/alliances/databricks/rethinking-incident-management-manual-triage-to-ai-driven-prioritization) to learn more. **Hoonartek****Engineering Copilot – Conversational Troubleshooting:** Engineering knowledge is often locked in static documents and fragmented systems. Using Genie with structured workflows: Convert SOPs, PDFs, and troubleshooting flows into Delta Lake, enable conversational queries for resolution guidance, provide step-by-step recommendations grounded in validated logic. Outcome: Reduced MTTR, improved operational efficiency, and preservation of institutional knowledge. **Tata Consultancy Services****AgenticOps** acts as a frontline solution that can handle high volume incidents by extracting the issues and efficiently classifying them by identifying the underlying root cause. This agentic AI solution generates recommendations for the incidents related to data pipelines by referring the knowledge sources, historic tables/resolution trends and autonomously arriving at resolution with / without human in loop there by drastically reducing the manual and operational efforts. AgenticOps solution leverages Genie spaces to interact with the incidents coming in from various sources that are available in Unity Catalog. The combined intelligence of Supervisor Agent along with Genie and knowledge sources helps arrive at recommendations there by ensuring timely resolution of incidents. Additionally Chat App functionality within AgenticOps enables stateful conversations using Genie agents to gain insights on the incident resolution lifecycle. Read this [blog](https://www.linkedin.com/pulse/databricks-genie-key-enabler-ops-framework-anjali-mohan-qpsmc/?trackingId=a5sPQ4yCTseLHq7RmQLA4g%3D%3D) to learn more. While industry-specific use cases solve unique vertical challenges, these cross-industry accelerators demonstrate that Genie is a versatile engine for enterprise-wide productivity. Whether you are optimizing sales, marketing, finance, procurement, HR, customer service or IT operations, our partners provide the pre-built frameworks necessary to scale natural language analytics across every department. Reach out to your Databricks account team or these partners to learn about these solutions in detail and see how you can start your own Genie journey today. Explore our full set of partner solutions and accelerators on the [Databricks Brickbuilder page](https://www.databricks.com/partners/consulting-and-si/partner-solutions), including AI, ML, and Data Engineering focused accelerators and industry focused solutions. Subscribe to our blog and get the latest posts delivered to your inbox.
artificial-intelligence, generative-ai, natural-language-processing, ai-agents, ai-products