AI Governance and Risk
AI governance consulting
A standing governance discipline with approval, override, and escalation named per workflow, not per company
- Duration
- 4 to 8 weeks
- Ladder stage
- Product
- NATIVE stages
- Assess, Integrate, Validate
The situation
When this engagement is the right one
Most AI governance fails because it is written at company level. Approval, override, and escalation only mean something for a specific workflow, with specific people named. We build governance that a workflow designer has to satisfy before code ships.
You are probably seeing
- You have an AI policy and no mechanism that stops a non-compliant deployment.
- Risk is consulted after the pilot, as a review, not as a design input.
- Nobody can produce evidence of how an automated decision was made six weeks ago.
What we do
The work, in the order it happens
- 01Define the governance standard workflows must satisfy: checkpoints, exception paths, logging, retention.
- 02Name Approve, Override, and Escalate for each in-scope workflow.
- 03Set the gate criteria and who is empowered to fail a gate.
- 04Design the monitoring set: drift, override rate, exception volume, cost per unit.
- 05Build the audit pack template so evidence is a by-product, not a project.
What you get, and keep
- A workflow-level governance standard.
- A decision-rights matrix per in-scope workflow.
- Gate criteria and a documented stop authority.
- A monitoring specification and an audit pack template.
Prerequisites
- At least one workflow in flight. Governance designed in the abstract is not testable.
Not included
- We do not provide legal advice or regulatory sign-off.
- We do not certify compliance; we build the evidence trail your auditors ask for.
Duration and price shape
4 to 8 weeks
Fixed fee, scoped by number of in-scope workflows.
Where this sits in the method
- AAssessAre you ready, really?
- IIntegrateRewriting workflows and decision rights
- VValidateProve it before you scale it
Commercially this is a Product engagement on the Proof, Product, Platform ladder.
FAQ
Questions we get asked
- Does this cover the EU AI Act or the DPDP Act?
- We map the controls to the obligations your counsel identifies. We are not your legal adviser and we will not pretend otherwise.
- Will this slow delivery down?
- At the gate, yes, deliberately. In aggregate it is faster, because rework after a failed production deployment costs more than a gate.
Related engagements
Work that usually sits either side of this
AI Governance and Risk
AI Policy and Acceptable Use
An enforceable enterprise AI use policy, plus the shadow-AI inventory that tells you what is already running
AI Governance and Risk
Model Risk and Assurance
Evaluation harnesses, quality bars, drift monitoring, and audit-ready documentation for regulated workflows
Next step
Ready to scope ai governance framework?
Bring the pilots you already have running. The first call is a scoping conversation, not a pitch.