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AI Auditing
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ASSURANCE

AI Auditing

Structured assessments of AI systems — governance, risk, and controls — so you can adopt AI without adding unmanaged risk.

Start Your Journey Consult an Expert
SUCCESS RATEGovernance-Focused
TYPICAL TIMELINEScoped Engagement
SUPPORT LEVELAssessment & Guidance
CERTIFICATIONPrioritized Findings
THE CHALLENGE

AI Adoption Outrunning Governance

AI features and third-party tools are spreading faster than the policies, reviews, and ownership needed to manage them. Without a structured look at how AI is used, organizations can't answer basic questions about data, risk, or accountability.

  • No clear inventory of where and how AI is used.
  • Unclear ownership of AI-related risk and decisions.
  • Limited review of data flows, outputs, and controls.
OUR APPROACH

A Clear View of AI Risk

We assess your AI use against practical governance and risk principles, then hand you a prioritized set of findings and next steps. The goal is clarity and sound decision-making — not a box checked or a certification implied.

  • A mapped inventory of AI systems and tools.
  • Governance and risk practices reviewed against recognized principles.
  • Practical, prioritized recommendations.
CORE CAPABILITIES

Detailed Framework Analysis

Our methodology focuses on granular implementation across every layer of your organization.

AI Use Inventory

Identify where AI is used across your product and operations.

We catalog AI features, embedded models, and third-party AI tools so nothing runs unseen.

Governance Review

Review policies, ownership, and oversight for AI.

We examine how AI decisions are governed — roles, review, and accountability — and where the gaps are.

Risk Assessment

Evaluate AI-related risks and how they are managed.

We look at data handling, model use, human oversight, and failure modes, and rate risks by impact.

Findings & Roadmap

A prioritized set of recommendations you can act on.

We deliver clear findings and a practical sequence of improvements.

METHODOLOGY

Execution Roadmap

01

Scope

Agree on the AI systems and questions in scope.

02

Assess

Inventory AI use and review governance and risk practices.

03

Report

Deliver findings and a prioritized roadmap.

04

Advise

Support your team as recommendations are put into practice.

PROJECT_OUTPUT_LOG

Tangible Outcomes

Everything you receive at the completion of this engagement.

OUT_01
Assessment
  • >AI use inventory across product and operations.
  • >Governance and oversight review.
  • >Risk assessment with prioritized findings.
OUT_02
Recommendations
  • >Practical remediation and control suggestions.
  • >Suggested ownership and review cadence.
  • >Documented summary for leadership and customers.
COMMON QUERIES

Detailed FAQ

Everything you need to know about our AI Auditing process.

Have more questions? Ask us

Is this a certification?

No. It's an independent assessment of governance and risk. We do not certify AI systems or guarantee compliance outcomes.

Does it cover third-party and embedded AI?

Yes. We look at AI features you build as well as external AI tools and models your team relies on.

How is this different from a security audit?

It focuses specifically on how AI is governed, its data and risk implications, and the controls around it.

Build a Secure Foundation with Connexion Labs

Join high-growth startups who trust us for their AI Auditing.

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