AI compliance/Platform selection

5 · Equip

Choose an AI governance platform on evidence.

We run the selection end to end: requirements matrix, RFP, comparative proof of concept on your own cases and a total-cost case. The decision rests on what was tested in your environment, not on a demo.

Approach
Requirements, RFP, proof of concept
Evidence
Trials on your own use cases
Criteria
Coverage, integration, total cost
Output
Decision file and integration plan

What a demo does not show

A demo presents the product on the vendor’s data and the vendor’s scenario. It says nothing about how the tool behaves with your registry, your approval paths and your information systems. Only a trial run on your own cases does.

The tool comes after the framework

A platform automates a governance apparatus, it does not replace one. Requirements derive from your inventory, your policies and your controls. Without them, you buy features nobody will use.

Scope

Eight criteria, each put to the test.

Every criterion is turned into verifiable requirements, then tried during the proof of concept. What has not been seen working is not counted.

Registry and inventory. How the registry of AI systems is kept, shadow AI and vendor-embedded AI included, and how it stays current as projects move.
Classification and obligations. How each system is tied to its risk tier and to the duties that follow, across the AI Act, ISO/IEC 42001 and NIST AI RMF.
Approval paths. The approval steps, the roles, and the record each decision leaves behind.
Documentation and evidence. How technical documentation and the evidence file are produced and retained, in a form a third party can review.
Monitoring in production. Tracking of drift, incidents and design changes once the system is live.
Integration. Connectors to your data, development and risk management tooling, and the real effort needed to wire them in.
Security and hosting. Data location, access rights management and the vendor’s contractual commitments.
Total cost. Licences, integration, running costs and internal workload, over the intended period of use.

Prerequisite

A governance framework, even a partial one. The requirements matrix builds on your policies and controls. Where they are still to be written, we start there. See the governance framework

How it runs

Six steps, from need to decision.

  1. Needs gatheringWith compliance, risk, data teams and IT. Each need is tied to a real use and to an owner.
  2. Requirements matrixFunctional, technical, regulatory and contractual requirements, weighted. Knock-out criteria are kept apart from preference criteria.
  3. RFPA specification, a scoring grid fixed before responses come in, and a reasoned shortlist.
  4. Comparative proof of conceptShortlisted solutions are tried on the same cases, drawn from your systems, under the same protocol. Gaps between the written response and the observed result are recorded.
  5. Total cost and expected returnThe cost of each solution over its period of use, integration and operation included, set against what it saves.
  6. Decision and integration planA reasoned recommendation, presented to the body that decides, and the integration plan for the chosen solution with its connectors.

Deliverables

What you receive.

Weighted requirements matrix RFP pack Scoring grid Proof-of-concept protocol Side-by-side trial results Total cost and expected return Reasoned recommendation Integration plan and connectors

Who the selection is for

AI governance leads, compliance and risk functions, data and IT leadership who have to justify a tooling choice to an investment committee or a procurement function.

Next step

Scope a selection.

Tell us where you stand: a need still to be written down, a vendor list already drawn up or an RFP under way. We will come back with a proposed scope and a fixed fee.

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