We inventory, assess, and monitor the AI systems your business already runs, then map them against the frameworks that matter — EU AI Act, NIST AI RMF, ISO/IEC 42001 — so you can deploy AI with evidence, not guesswork.
$ moose scan --target your-ai-stack
Discovering models, agents & AI-enabled vendors…
Checking against EU AI Act · NIST AI RMF · ISO/IEC 42001…
✓ Model inventory documented — 14 systems found
▲ 3 models missing risk classification (medium)
✕ No bias & fairness testing on file for hiring model (critical)
▲ 2 vendor AI contracts missing data processing terms (medium)
✓ Data retention policy current
✕ EU AI Act high-risk assessment not started (critical)
Scan complete in 1.8s
Sample findings — every business's scan looks different.
Run yours →Practical, documented controls for the AI your teams are already using — built to hold up under audit, procurement review, or regulatory scrutiny.
Policies, ownership, and approval workflows for how AI gets evaluated, deployed, and retired across your business.
A living register of every model, agent, and AI feature in use — including the ones procurement never signed off on.
Testing for disparate outcomes in models that touch hiring, lending, healthcare, or other high-stakes decisions.
Structured risk scoring for each system — impact, likelihood, and exposure — tied to a remediation plan, not just a report.
Your controls mapped directly to EU AI Act, NIST AI RMF, ISO/IEC 42001, and sector rules like HIPAA or GLBA.
Lineage, retention, and access controls for the training and inference data feeding your models.
Review of the AI features baked into your SaaS vendors' tools, and the contract language that protects you.
Ongoing scans and reporting so drift, new shadow-AI tools, and control gaps get caught between audits.
Plain-language AI use policies and training so staff know what's approved and what needs a review first.
We don't invent our own checklist — every control we implement traces back to a recognized standard or regulation.
The same full-service approach we use across every engagement — nothing gets deployed on you without a plan.
We identify every AI system in use, including tools individual teams adopted on their own.
Each system is scored against the frameworks that apply to your industry and geography.
We close the gaps that matter first, and put durable policy and documentation behind every control.
Scheduled re-scans catch new AI tools, model changes, and drift before they become findings.
We're not a faceless audit mill. We're your dedicated technology partner, and AI governance is an extension of the IT work we already do for you.
Documented controls mean you can answer a regulator's or auditor's questions with evidence, not a scramble.
A clear approval path means teams stop asking permission in Slack and start following a known process.
Most companies underestimate how many AI tools their staff already use. We find them and bring them into scope.
Win procurement reviews and enterprise deals that now require an AI governance questionnaire.
Yes. Most exposure comes from AI features already embedded in the SaaS tools your team uses daily, not custom-built models.
A typical discovery and gap assessment runs two to four weeks, depending on how many systems and vendors are in scope.
No — we handle the technical inventory, risk scoring, and control implementation, and coordinate with your counsel on regulatory interpretation.
Both are available. Most clients start with an assessment, then move to scheduled monitoring so new tools and model changes stay in scope.