Moving from a SaaS playground to an Agentic enterprise framework.
Here’s why that matters now: Agentic AI introduces agency inside the enterprise — not just assisting, but running work and making decisions.
The leaders won’t be those who pilot first. They’ll be those who build an enterprise-wide foundational layer — one architecture, shared across divisions — that deliberately shapes how work gets done.
This foundational layer is not a single LLM, SLM, or Agentic system running the business, nor is it a collection of SaaS tools stitched together. Instead, it’s a cohesive, extensible design.
It serves as the connective fabric that links people and intelligent capabilities into a single, agile framework. The vision should be to align silos to a single business objective, with shared KPIs and points of convergence in the intelligence layer. This approach enables the enterprise to reimagine itself, much like an old house can be remodeled into something entirely new.
With that in place, two questions matter most for boards:
- What’s the vision? How do we empower divisions to move at pace but still align toward a shared north star?
- Where do we start? How do we establish the first points where people and Agentic work together?
And the deeper questions:
- Where can agency compound value, not just automate tasks?
- What’s our enterprise framework — one, not twenty experiments?
- How do supply chain, operations, sales, and finance connect as this foundational intelligence layer matures?
- What’s our governance model to build trust before handing decisions to machines?
- How do we redeploy talent into higher-value work?
Answer these before deployment and Agentic becomes your operating model. The boards that act now won’t just adopt Agentic — they’ll redefine how their enterprise works for the next decade.