Capabilities

Five surfaces, one question

Most enterprise agent programmes fail because the governance layer and context-graph integration are missing — alongside the security of the whole agentic and GenAI stack. These are the surfaces that work touches. The question underneath all five is the same: can you prove what it did?

01

Agent protocols & orchestration

The plumbing that decides whether multi-agent work is reliable or merely impressive.

Tool and agent-to-agent protocol design · Control plane / data plane separation · Idempotency, retries and compensation

04

Sovereign & open-weight AI

Owning the intelligence and the context, rather than renting both and hoping.

Data and model sovereignty · Residency and cross-border inference · Open-weight evaluation

05

Model risk & validation for agents

Validation frameworks written for systems that score, applied to systems that act.

Federal Reserve SR 11-7 / OCC 2011-12 · NIST AI Risk Management Framework · Effective challenge

How these fit together

The surfaces are the stack. The four layers are the method.

These five are where the work happens. The four layers — entitlements, policy enforcement, attestation, model risk — are how any one of them is governed once it exists. Agent autonomy, governance and the protocols underneath are what make advanced agent work in an enterprise actually possible; the layers are what let you answer for it afterwards.

Where a capability is bought rather than assembled, see engagements. Where the regime decides what evidence you owe, see sectors.

Next step

If any of this is live for you

The fastest route is a conversation. Bring the architecture you are worried about — the first useful thing usually surfaces inside twenty minutes.