Overview

What this assessment covers

AI can introduce new risks to security, privacy, compliance, and decision-making. This assessment provides a clear view of where AI is used, what risks are present, and what governance is needed to manage it responsibly.

You will receive a prioritized set of recommendations aligned to your business contextโ€”designed to be actionable for leadership, Internal Audit, and technology teams.

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Leadership team meeting to review technology governance and risk
Outcomes

What you gain

Clear AI inventory

A structured view of AI use cases, tools, data inputs, and ownersโ€”so you can govern what you actually have.

Risk and control clarity

Identification of key risks (privacy, security, bias, model drift, third-party, and regulatory exposure) and the controls needed to manage them.

Practical roadmap

A prioritized plan to implement governance, policies, and oversight that fits your maturity and resourcing.

Abstract AI network visualization representing connected systems and oversight
Approach

How the assessment works

A structured, interview-led and evidence-based review designed to produce clear, defensible outputs.

1) Discovery and scoping

Confirm objectives, in-scope functions and systems, and the AI definition and boundaries used for the assessment.


2) AI use and data mapping

Document AI-enabled processes, data sources, third parties, and decision pointsโ€”focusing on where risk concentrates.


3) Governance and control evaluation

Assess policies, roles, approvals, monitoring, and documentation practices across the AI lifecycle.


4) Findings and roadmap

Deliver prioritized recommendations and a practical implementation plan, including quick wins and longer-term governance structure.

FAQ

Common questions

A few practical details to help you understand scope, timing, and deliverables.

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