{"slug": "agentic-ai-turns-strategy-from-purchase-into-presence", "title": "Agentic AI Turns Strategy From Purchase Into Presence", "summary": "IvyAgents.AI, founded by Natasha Sodhi, is positioning itself as an AI-native strategy platform that embeds continuous strategic intelligence inside organizations rather than delivering it through time-bound consulting engagements, according to the company. Sodhi said \"Agentic AI needs an analytical backbone, specialist agents, and a human signature,\" arguing the platform should make its reasoning traceable and allow teams to challenge its outputs. The pitch cites McKinsey data that 37% of respondents from large organizations with annual revenues above $1 billion attribute at least some EBIT impact to AI use, and a Harvard Business Review article noting AI can generate and evaluate thousands of strategic options.", "body_md": "# Agentic AI Turns Strategy From Purchase Into Presence\n\nMost conversations about AI in strategy focus on making consultants faster, drafting memos, summarizing meetings, generating alternatives, or producing dashboards. Those gains matter, but they treat intelligence as a task that can be accelerated around an unchanged model. The stronger possibility is more disruptive. AI could change what a strategy firm is and how companies access strategic intelligence.\n\nOrganizations are beginning to ask whether strategic insights can become a continuous capability to drive financial gains, rather than being delivered at the start or end of a project. According to [McKinsey](https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai), 37% of respondents from large organizations (those with annual revenues of more than $1 billion) attribute at least some EBIT impact to AI use. The early numbers point to intelligence that pays as it compounds, not as it lands in a deck.\n\nAs noted in a [Harvard Business Review](https://hbsp.harvard.edu/product/R2605B-PDF-POR) article, AI can generate and evaluate thousands of strategic options, build rich, continually updated views of markets and competitors, and stress-test potential plans through structured debate that isn't influenced by internal politics. Yet there is a gap between what AI can do in theory and what it takes to do strategy well and credibly. Capability without traceability, challenge, and human judgment does not become advice a board can act on.\n\nTraditionally, strategy consulting is built around a concentrated burst of expert work. Senior teams enter a company, study the market, interview stakeholders, build models, and then leave with recommendations, roadmaps, and a deck. The model is powerful but episodic, and much of the technology being added today is built on top of that existing consulting pyramid rather than being AI-native from the ground up. The company changes after the engagement ends, while the most recent intelligence may sit in a presentation, a shared drive, or the memory of a few people.\n\nNatasha Sodhi, founder of [IvyAgents.AI](http://ivyagents.ai), brings more than a decade of experience across strategy, AI, and digital transformation at leading consulting organizations, where she helped build practices and lead large-scale initiatives. Her perspective is shaped by seeing both the value of elite consulting and the limits of a model that makes that value available mainly through expensive, time-bound engagements.\n\nIn her view, the opportunity is not to replace consultants with an LLM chatbot. It is to change the architecture of strategy itself. IvyAgents.AI is designed as an AI-native strategy platform that can live inside an organization rather than bolted onto an existing one. It can connect structured information, coordinate specialist agents, and help teams turn analysis into action. Rather than waiting for a new engagement, leaders may use the platform to maintain context, test assumptions, and make strategic work part of how the business operates each day.\n\nA private equity firm may need to understand performance, capital allocation, leadership effectiveness, governance, and operating risks across its portfolio companies. A continuous intelligence layer could give investors and portfolio company executives a shared view of what is changing, why it matters, and where attention is needed. It could also turn scattered emails and status meetings into a more coherent record of decisions and outcomes.\n\nTrust is the condition that makes that promise credible. Sodhi states, \"Agentic AI needs an analytical backbone, specialist agents, and a human signature. The platform should make its reasoning traceable, allow teams to challenge its outputs, and preserve the judgment of people who understand the business.\" That combination can make AI more useful than a single prompt while keeping people responsible for consequential decisions.\n\nIf strategic intelligence can be assembled, updated, and applied continuously, companies may no longer need to purchase it only when a senior team has time for a major engagement. Smaller organizations could gain access to a higher level of analysis, while larger ones could keep departments informed without routing every question through the C-suite. The result is not a smaller role for experts. It could be a different one, focused on setting direction, validating reasoning, and making judgment available where it is needed.\n\nAgentic AI may therefore redefine the strategy firm, not by eliminating the need for expertise, but by moving that expertise closer to the moment of decision. The result could be a future in which leaders access continuously updated insight, enabling faster, more informed choices as conditions shift. The question remains whether organizations will let strategy stay a periodic purchase or help it become a constant presence guiding the firm each day.\n\n© Copyright IBTimes 2026. All rights reserved.", "url": "https://wpnews.pro/news/agentic-ai-turns-strategy-from-purchase-into-presence", "canonical_source": "https://www.ibtimes.com/agentic-ai-turns-strategy-purchase-presence-3807634", "published_at": "2026-09-18 18:42:09+00:00", "updated_at": "2026-09-18 19:25:11.711130+00:00", "lang": "en", "topics": ["ai-agents", "ai-products", "ai-startups", "artificial-intelligence"], "entities": ["IvyAgents.AI", "Natasha Sodhi", "McKinsey", "Harvard Business Review"], "alternates": {"html": "https://wpnews.pro/news/agentic-ai-turns-strategy-from-purchase-into-presence", "markdown": "https://wpnews.pro/news/agentic-ai-turns-strategy-from-purchase-into-presence.md", "text": "https://wpnews.pro/news/agentic-ai-turns-strategy-from-purchase-into-presence.txt", "jsonld": "https://wpnews.pro/news/agentic-ai-turns-strategy-from-purchase-into-presence.jsonld"}}