Insights
Perspectives on Production Agentic AI.
The ideas that shape how we architect, secure and operate Agentic AI — and the questions we think every leadership team should be asking.
- Strategy
Sometimes the right answer is "don't build it yet."
An Architecture Sprint is valuable precisely because it can end in NO-GO. Avoiding the wrong project is an outcome, not a failure.
- Context
An LLM gives an agent intelligence. An OSM gives it understanding.
Agents that act on operations need a machine-readable model of the environment — entities, relationships, state and policy.
- Signals
Give your agents eyes and ears.
Documents describe how things should work. Telemetry describes what is actually happening. Production agents need both.
- Security
When AI gets the keys, security changes.
Tool permissions, excessive agency and prompt injection turn into operational risk the moment an agent can change a system.
- Governance
Autonomous doesn't mean unaccountable.
If you cannot reconstruct what an agent observed, decided and did, you cannot govern it.
- Knowledge
Capture what your best people know before it walks out the door.
Tribal knowledge is often the most valuable operating asset an organization has — and the least protected.
Next step
Have an Agentic AI Idea?
Let's determine whether it is worth building. Every engagement starts with an Architecture Sprint that ends in an explicit Go / No-Go recommendation — and sometimes the right answer is "don't build it yet."