Service
AI Audit
We audit AI feasibility, architecture, and execution risk to clarify where systems are solid and where debt accumulates.
Audit scope
- Model feasibility, data quality, and platform readiness.
- Architecture review for scalability and governance gaps.
- Security, compliance, and operational risk signals.
- Vendor and tooling assessment for long-term fit.
Deliverables
- Executive audit report with priority remediation plan.
- Risk matrix with operational and regulatory impacts.
- Architecture adjustments and next-step roadmap.
What we assess
- Data lineage, quality, and retrieval readiness.
- Model lifecycle governance and evaluation practices.
- Security posture, privacy controls, and compliance fit.
- Operational resilience, cost exposure, and scalability.
Who engages us
- Investors validating AI claims before diligence.
- Executives assessing AI readiness and risk.
- Product leaders preparing for enterprise deployments.
- Regulated organisations needing audit trails.
AI audit FAQ
What inputs do you need?
We request architecture diagrams, data inventories, and access to key stakeholders for interviews.
How long does an audit take?
Most audits run 3 to 6 weeks depending on system complexity and data availability.
Do you provide remediation plans?
Yes. We include a prioritised remediation plan and risk matrix with next steps.