We audit AI systems, define usage policy, and put continuous risk monitoring in place — so governance is something you demonstrate, not something you scramble for.
Audits, policy, and monitoring — the full system that turns governance into evidence you can hand over.
Assessment of accuracy, robustness, security, and failure modes — on systems we built or anyone else did.
Structured attempts to break the system and surface unfair or unsafe behaviour.
AI usage policy, approval processes, and accountability mapped to named owners.
Gap analysis and documentation aligned to the EU AI Act, NIST AI RMF, and ISO/IEC 42001.
Dashboards and alerts for drift, misuse, incidents, and policy violations.
The risk-classification topology and the policy-as-code pattern — not a slide about “best practices.”
// elhaa Risk Classification Engine const risk = await elhaaGovernance.classify({ system: aiSystemId, frameworks: ['EU-AI-Act', 'NIST-AI-RMF'], autoSchedule: 'quarterly-audit' });
Deals kept stalling at the security-review stage: prospects asked about AI governance and got silence, and a blank questionnaire cost at least one signed contract.
We inventoried every AI system in use, risk-rated them, wrote a proportionate usage policy, audited the two customer-facing systems, and stood up quarterly risk reporting.
*Illustrative example based on a representative engagement.
Catalogue every AI system in use — sanctioned or shadow — and rate its risk.
Draft policy and approval processes proportionate to each risk tier.
Audit and red-team the high-risk systems; fix what the testing surfaces.
Stand up continuous monitoring and a regular reporting rhythm to leadership.
Share of AI in use that's catalogued and risk-rated.
Audit and red-team findings resolved, with time-to-close.
Staff acknowledgement and approval-path usage rates.
Incidents detected, time to containment, lessons applied.
Yes — independence is the point. We audit systems built in-house or by other vendors, and we're equally happy for others to audit ours.
We track emerging AI regulation and established standards (such as the EU AI Act, NIST AI RMF, and ISO/IEC 42001) and map your obligations based on where and how you operate. For formal legal opinions we work alongside your counsel.
Lightweight governance early is far cheaper than retrofitting it later. A one-page policy and a simple approval path is often enough to start — we size the framework to your actual risk.
A single-system audit typically runs 3–6 weeks depending on complexity and access. A full organisational inventory and framework engagement usually runs 8–12 weeks.
Both work. Some clients want a one-time framework and audit; others keep us on a quarterly retainer for re-audits, monitoring reviews, and regulatory updates. The framework is yours either way — the retainer just keeps it current.
A 30-minute call. We'll tell you honestly whether this is the right solution — and what it would take.
A short form, then a 30-minute call. We reply within one working day.
We'll be in touch within one working day.