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 context—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 owners—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 points—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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