Your people are already using AI. The question is whether it's safe.
A structured assessment that maps every AI touchpoint in your organization — the official ones and the shadow ones — and turns the risks into a prioritized remediation plan.
AI entered your company through the back door: employees pasting client data into chatbots, teams running unsanctioned tools, code assistants with more access than they should have. Most organizations have far more AI in production than they think — and almost none of it is governed.
Our assessment inventories all of it. We interview teams, scan the environment, and review policies to find where AI touches your data, your code, and your customers. Then we deliver a concrete, prioritized plan: what to stop immediately, what to govern, what to keep. The output is written to satisfy both your security team and incoming regulation such as the EU AI Act.
What you get
Seen in practice: Finding 60 unsanctioned AI tools before the auditors did — A 400-person firm had an AI policy, a procurement process, and — as we found — sixty AI tools in use that neither knew about.
AI inventory
Every AI system in your org — sanctioned and shadow — mapped with data flows and owners.
Risk register
Risks scored by likelihood and impact: data leakage, IP exposure, compliance gaps, dependency risks.
Remediation roadmap
A prioritized, sequenced plan — quick wins first, structural fixes scheduled.
Policy pack
An AI usage policy, review templates, and guardrails language your legal team can adopt.
How it works
Discover
Interviews and technical scans to surface every AI touchpoint, including unofficial ones.
Analyze
Data-flow mapping and threat modeling on each identified use of AI.
Report
Findings workshop with leadership: what we found, what it means, what to do first.
Remediate
Optional: we help implement the fixes — guardrails, policies, approved tooling.
Questions we get asked
What is "shadow AI"?
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AI use that happens outside official channels: employees using personal chatbot accounts with company data, teams buying tool subscriptions without review, code assistants on personal accounts. It is the most common — and most dangerous — finding in every assessment we run.
Is this a compliance audit?
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It is broader. Compliance frameworks like the EU AI Act are one lens we assess against, but we also cover security posture, data protection, and operational risk. The deliverable is written so it can serve as evidence for auditors, but its first job is making you actually safer.
How long does an assessment take?
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A focused assessment runs 2–4 weeks depending on organization size. A first-pass inventory of a single team can be done in days.
We already have an AI policy. Do we still need this?
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A policy on paper and AI in practice are usually different things. The assessment tells you whether the policy reflects reality — and where the gaps between the two will hurt you.
Other ways we work
Engagements combine more often than you would think — an automation project surfaces security questions, a build needs an upskilled team to own it. The other three services, in one place:
Production-ready software, built the third way.
Senior engineers directing specialized AI agents: the speed of automation on the repetitive work, human judgment on every decision that matters.
Explore Software Development →AI WorkflowsYour team is doing work a machine should be doing.
We find the repetitive, rule-heavy workflows draining your team's hours and automate them with AI agents — with humans in the loop wherever judgment is required.
Explore AI Workflows →AI UpskillingTools don't transform companies. People who use them well do.
A hands-on program that takes your team from AI-curious to AI-fluent — using your codebase, your workflows, and your real problems as the curriculum.
Explore AI Upskilling →Sound like what you need?
A 30-minute call is the fastest way to find out.