Businesses want to quickly and safely deploy AI agents to drive revenue, mitigate risk, and optimize capital, all without disrupting mission-critical ERP systems. And to power AI agents, you need more than raw data: You need interoperable data products that act as a single, reusable source of truth, turning cryptic source system records into clear business terms.
Today, we are announcing the general availability of Google Cloud Cortex Framework version 7. This release modernizes your data architecture for agent readiness, helping you quickly deploy, customize, and extend robust data products while simplifying orchestration and reducing the infrastructure overhead of traditional approaches.
While ERP systems hold a wealth of foundational data, turning those transactional records into AI-ready data products is difficult, especially without slowing down core operations. Cortex Framework v7 solves this with purpose-built data product accelerators for SAP. Deployed directly in BigQuery and Knowledge Catalog, these data products feed Gemini Enterprise Agent Platform with accurate business context so your AI agents can execute with high fidelity. It also simplifies data orchestration using a modular, scalable deployment architecture powered by Dataform, an end-to-end experience that helps data teams build, version control, and orchestrate workflows in BigQuery. Read on for more details about what you’ll find in Cortex Framework v7, how it integrates with the recently released SAP Business Data Cloud Connect for BigQuery, what our customers are saying, and how to get started.
**1. Deliver agent-ready data products **
Traditional business intelligence (BI) dashboards tell you what happened last quarter, but modern AI models and agents help you act in real time. To power this shift, Cortex Framework v7 packages your enterprise data into semantically rich data products that contain AI-friendly metadata. This enables your agents to reason, orchestrate, and execute high-impact workflows.
By translating raw SAP tables into clear business terms, dynamically ingesting custom fields, and natively handling advanced logic (like SAP TCURX currency decimal shifts), the Framework maintains the high data fidelity required for large language model (LLM) interactions and enterprise analytics.
These purpose-built data product accelerators for SAP ERP and SAP Business Data Cloud deploy directly in BigQuery. Once they’re deployed, you can trigger automatic registration in Knowledge Catalog to easily discover data and connect it with your AI agents.
To accelerate custom AI projects, this release also includes agent skills for an agentic data product builder that helps data and knowledge engineers use natural language to generate custom data products. Using the Framework's provided content, an AI agent can automatically handle the build process, including adapting to specific source data requirements and customizations.
With v7 you can also extend Cortex Framework to maintain a clean separation between Cortex Framework-delivered content and your custom models. This helps you apply the latest code updates without impacting your custom work.
2. Build faster with modular deployments
Dataform powers the modernized data pipelines in Cortex Framework v7, offering version-controlled SQL and native dependency management. When you select a packaged data product for deployment, Cortex Framework retrieves and processes only the required tables. Dependency resolution automatically handles order-of-operations and generates a dependency graph for efficient processing. You can also add custom fields or logic without breaking standard models.
This modular approach extends natively to complex, multi-system SAP environments. Using built-in logic differentiation, Dataform compiles and deploys Cortex Framework data products for SAP ECC, SAP S/4HANA, and SAP BDC source systems in parallel, while dynamic schema discovery automatically ingests and processes custom SAP fields such as Z-fields. Together, these capabilities help you bring in data from multiple systems simultaneously, reducing the need to manually refactor pipelines.
3. Scale cost-effectively with flexible processing
Cortex Framework now defaults to BigQuery incremental and non-destructive schema updates, processing only new or modified data. This approach minimizes compute time and significantly lowers operational expenses. Because orchestration relies on Dataform’s serverless, BigQuery-native execution, data processing scales without additional infrastructure overhead.
You can also use a bring-your-own (BYO) change data capture (CDC) approach. You can use this approach to bypass built-in CDC data processing and connect your existing CDC-processed pipelines directly.
Following the recent general availability of SAP Business Data Cloud Connect for BigQuery, Cortex Framework v7 now natively supports SAP BDC standard and custom data products. By combining Cortex Framework-delivered data products with SAP BDC data products, you can uncover new business opportunities. To accelerate this, v7 includes solution samples across both SAP BDC and SAP ERP data to help you quickly answer a wide range of critical questions such as assessing the health of your sales pipeline or identifying procurement inefficiencies.
We’ve worked closely with our Professional Services Organization and industry leaders to test these new capabilities. By serving as our lighthouse customers, these organizations provided valuable feedback to help us shape a framework built for enterprise-scale agility and AI readiness.
“As an existing Cortex Framework customer, we are excited about the capabilities introduced with the latest v7 release. Bridging complex SAP ECC and S/4 environments with Google Cloud’s AI capabilities requires a trusted data foundation with accurate business context. Based on the capabilities announced for Cortex Framework v7, including the agentic data product builder, we see significant potential to accelerate and scale the creation of enterprise data products for analytics and agentic AI use cases. The direction of the platform is particularly promising for organizations looking to make SAP data more accessible, semantically meaningful, and ready to support future reporting and AI initiatives.” -** Dr Jwan Ibrahim, Director, Data and Analytics, **SLB
Cortex Framework v7 changes how enterprises operationalize their most critical data for AI agents. By combining serverless execution, AI-ready semantics, and native SAP integration, Google Cloud helps you turn complex enterprise data into a strategic asset. To get started, check out the following resources:
Execute a deployment: Try a Cortex Framework demo deployment (with a predefined sample dataset) to explore your first v7 data products today.
Learn more: Read the comprehensive Cortex Framework v7 technical documentation for deep dives into production deployment steps, configuration, extensibility, source system integration, and packaged data products.
Talk to an expert: Contact your Google Cloud account team to learn how Cortex Framework v7 can accelerate your specific data-to-AI journey.