Consulting

AI Governance & Risk Advisory

Establishes the policy, control and oversight structure needed before AI usage outpaces the ability to govern it.

Overview

What this engagement is

Establishes the policy, approval workflow and oversight structure an organization needs before — not after — AI usage expands across teams, aligned to model-risk-management practice and the regulatory expectations relevant to the organization's sector.

Who it's for
  • Organizations where AI usage has grown faster than formal governance policy.
  • Regulated entities needing a defensible AI risk framework ahead of an audit or examination.
  • Boards and risk committees requiring an independent assessment of current AI risk exposure.
Scope

What it covers

Current-state AI usage inventory and risk exposure assessment.

Policy design for model approval, usage boundaries and data-handling requirements.

Governance structure recommendations, including review committee design and escalation paths.

Alignment mapping against applicable regulatory and model-risk-management expectations.

Coordination with the AI Governance & Observability platform where deployed, so policy is enforceable, not aspirational.

Engagement models

How this is delivered

Delivery process

Scope, assess, advise, support

01

Scope

A short discovery conversation defines the specific decision, risk or gap the engagement needs to address, and the right engagement model for it.

02

Assess

The architect reviews current-state documentation, systems and stakeholder input against the defined scope.

03

Advise

Findings, options and a recommended path are delivered in a structured document and a working session with stakeholders.

04

Support

For fractional and sprint engagements, the architect remains available through initial implementation decisions to keep the recommendation grounded in what actually happens during execution.

Deliverables

What you receive

  • An AI usage and risk inventory.
  • A written AI governance policy and approval workflow.
  • A regulatory-alignment mapping document for the organization's sector.
Led by

Fractional Technical Architect

12+ years in enterprise technical architecture · MEng, Artificial Intelligence & Machine Learning — Indian Institute of Technology (IIT) Kanpur

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Discuss scope for AI Governance & Risk Advisory

A short discovery call confirms fit and the right engagement model before anything is proposed.