Tag: enterprise agentic AI
-
Enterprise Agentic AI roadmap for 2027
An enterprise agentic AI roadmap for 2027 is a governance plan with an architecture inside it. For a Fortune 1000 company it is the year the weakest production agent climbs from Piloted to Governed, and the best one earns Assured, one exit gate at a time. This is the fall 2026 edition, the one about…
-
What Is Agentic AI Context Compaction? Decide What Goes
Agentic AI context compaction is the step in an agent’s runtime loop where the harness takes a conversation that is nearing the context window limit, has the model write a summary of it, and restarts the loop with that summary in place of the original history. Everything before the summary is gone from the model’s…
-
Agentic AI Governance: Managing the Harness Across the Five-Stage Roadmap
What Agentic AI Governance Actually Governs Agentic AI governance is the discipline of controlling what an AI agent is allowed to do, verifying what it actually did, and proving both to an auditor — and in 2026 the object of that governance is no longer the model. It is the harness. The industry has converged…
-
Only 3 Agentic AI Case Studies Pass the ROI Test — Here’s Why
The best documented ROI in enterprise agentic AI today comes from three production deployments: an enterprise software provider saving $100 million a year on support, a retail bank that cut fraud losses more than 20% with an agent that writes its own detection rules, and a packaged-food manufacturer that took $20 million out of its…
-
Enterprise Agentic AI Vision 2030
Enterprise agentic AI is not arriving in a straight line. It’s a J-curve: a rough two years of pilots and cancellations, then a scramble to scale, then — if the forecasts hold — an operating model that looks nothing like the IT services industry of 2025. Most analysts, academics and IT services leaders agree on…
-
Agentic AI Lesson: Governed Scales, Headcount-First Gets Rolled Back
Agentic AI is software that takes a goal, plans the steps, uses tools and takes action toward an outcome with limited human supervision — not a chatbot that only answers questions. I picked two 2025–2026 banking deployments from public reporting because they ran the same play in the same industry and landed in opposite places.…