Insights
Practical thinking for
the agentic enterprise.
Perspectives on enterprise AI, intelligent workflows, and responsible autonomy.
Planning your first workflow
Better questions.Stronger foundations.
Three practical starting points for a conversation about enterprise AI.
Where should we start with agentic AI?
Choose a bounded, repeatable workflow with a clear owner. Map its inputs, decisions, system dependencies and handoffs before deciding what to automate. Agree on a baseline and a meaningful outcome.
Explore AI Engineering Factory ↗How much autonomy is appropriate?
Define which actions an agent may take, when approval is required and how exceptions reach a person. Start with explicit permissions and traceability, then adjust the scope against observed performance.
Explore governed execution ↗What makes a useful first demonstration?
Bring a real process, its constraints and the people responsible for it. A useful walkthrough connects the proposed experience to your systems, data requirements, review points and success criteria.
Discuss your workflow ↗