Organizations have policies that look good on paper but aren't followed in daily operations (Deloitte).
AI systems carry hidden compliance issues—buried in code, workflows, or forgotten integrations (MIT).
We run a three-dimensional assessment where we review documentation, tech stack, and real-world behaviours, so nothing slips through the cracks.
Step1
We go through every ISO 42001 clause and check if your organisation meets the required controls. We also review recommended and industry-specific controls.
Step2
We confirm your controls are followed in real life. That includes looking at how you generate evidence, handle exceptions, and apply policies day-to-day.
Step3
We inspect the systems behind your AI. This includes checking if your model cards are complete, if data sources are traceable, and whether monitoring alerts are working.
Week 1
We begin with a review of your existing documents and interview key stakeholders to understand your current setup. Based on this, we tailor the assessment plan to your specific environment.
Weeks 2-3
We test how well your policies are applied in real operations. This includes sampling governance controls and validating the technical systems to uncover any compliance gaps.
Week 4
We classify issues by severity: critical gaps that block certification, major issues that trigger audit findings, and minor areas for improvement.
Week 5
You'll get a clear board-level summary, a detailed technical report, and a remediation cost calculator so you can act with precision.
Built by former ISO 42001 certifiers, our method aligns with ISO 19011 and includes mock audits, so you're fully prepared for real ones.
We go beyond paperwork, inspecting model logs, data versioning, and monitoring dashboards to catch hidden risks.
You get a detailed report on priorities, ready-to-use templates, and ROI models to fast-track remediation.
| Area | Typical Gap | Solution |
|---|---|---|
| Documentation | Missing model cards | Template library |
| Risk Management | No systematic process | Automated tracking system |
| Monitoring | Drift detection gaps | Real-time alert setup |
| Training | No role-specific content | Custom learning paths |
| Risk | Average Impact | Prevention |
|---|---|---|
| Certification failure | $75k re-audit costs | 95% first-time pass rate |
| Regulatory fines | 4% of revenue | Early gap closure |
| AI incident | $250k average cost | Risk surface mapping |
| Wasted resources | 40% misdirected spend | Precise gap targeting |
Don’t wait until an audit failure or compliance issue forces your hand. Get the clarity and confidence you need today.