Qualified engagement

Start with the authority boundary.

Request a HumAI Governance Assurance Assessment for a defined AI system or workflow. We qualify the decision, authority owner, evidence need and commercial readiness before scope, scheduling or payment are confirmed.

A

What the assessment can deliver

An authority-boundary map, evidence-gap register, escalation and stop criteria, and a recommendation for the next scoped gate. The statement of work fixes deliverables and acceptance before work begins.

B

What to bring

One defined system or workflow, the accountable owner, intended AI actions, architecture-level context and the evidence you need. Use synthetic or anonymised examples at this first step.

Commercial intake

Enough context to decide the next gate.

This is a non-confidential qualification step. Do not include passwords, API keys, classified information, production credentials, confidential datasets or other secrets.

Lead referenceGenerating…

Keep this reference in later correspondence and scope or evidence records. It identifies your enquiry; it is not an account or authorization token.

Operating environment
Email directly

A

Qualification first

A submitted brief does not guarantee a call, pilot or implementation. BPM first checks fit, boundary and readiness.

B

Private booking

Scheduling is released after qualification. The public site does not expose an unrestricted calendar.

C

Commercial confirmation downstream

Fees, invoicing and payment instructions are confirmed only after scope and the applicable contracting route are accepted.

Need the technical basis before engaging?

Review the Evidence Hub or Research programme. Commercial qualification remains separate from evidence maturity.