Agentic AI · 28 October 2026 · 8 min
The enterprise playbook for agentic AI in 2026
Moving from chatbot pilots to agents that complete real work requires new architecture, governance and operating models.
Most enterprises have run a generative AI pilot. Far fewer have agents in production that take action across systems. The gap is rarely the model — it is architecture, evaluation and trust.
Start with workflows, not models. The highest-value agent use cases are bounded, repetitive and data-rich: claims triage, IT service requests, supplier onboarding. Define the decision boundary for the agent and where a human must approve.
Invest in evaluation from day one. A golden dataset and automated eval suite turns subjective demos into measurable engineering, and lets you swap models as the market moves.
Finally, treat agents as products. They need owners, roadmaps, observability and cost controls — exactly like any other critical service.