ServicesAI governance and risk assessment

Find every AI system you run, and the data it sees

Already running AI? We find all of it, map the data each tool touches, and assess it against the rules you fall under. Planning your first deployment? We review the use case, the data and the vendors before you build or buy.

  • Fixed scope in writing
  • NDA before discovery
  • Findings tied to the rule they relate to
AI registerExample, 5 of the entries3 need action
SystemData it seesStatus
Help desk reply draftsFeature in existing SaaSCustomer names, order historyCheck DPA
CV screening add-onHR, bought by the teamApplicant CVsHigh-risk use
Personal chatbot accountsFound in network logsUnknownUnmanaged
Claims summariserBuilt in-houseHealth dataMasking needed
Meeting notes assistantApproved, EU regionInternal callsControlled

What you get

For your engineers, and for your DPO, counsel and board.

  • AI register

    Every model, tool and AI feature in use, approved or not, with its owner, its purpose and the vendor behind it.

  • Data-flow map

    What goes into each system, where it is processed and stored, which vendors see it and how long they keep it.

  • Risk classification

    Each use placed against the EU AI Act risk tiers, GDPR's triggers for a data protection impact assessment, and HIPAA's minimum necessary standard where health data is involved.

  • Gap report

    Each gap tied to the article or rule it relates to, with a technical fix, an owner and an order to tackle them in.

  • Policy drafts

    An acceptable use policy for staff and an approval process for new AI tools, drafted for your legal team to review and adopt.

  • Pre-deployment review

    For AI you haven't launched yet: the use case, the data it needs and the vendors, checked against the rules, with the controls to build in from the start.

  • Board summary

    Two pages in plain language: what AI the organisation runs, where the exposure is and what it will take to close it.

What a data-flow map looks like

How we find what's in use

People don't mention the AI they weren't supposed to use, so we check the systems too, with your permission.

  1. Interviews

    IT, security, data protection and the heads of the teams that handle the most sensitive data.

  2. Technical discovery

    Single sign-on and network logs, browser extensions, SaaS admin settings and expense lines, read with your security team.

  3. Data tracing

    For each system, we follow a sample record from input to model to storage, and note every place a copy ends up.

  4. Report and walkthrough

    We take your team through the findings and agree what to fix first.

What we assess against

The ones we're asked about most. We assess against many more.

Rule or frameworkWhat we look at for AITypical references
GDPR and UK GDPR

Legal basis and purpose for each AI use, records of processing, DPIA triggers, processor terms, transfers outside the EEA or UK.

Art. 5Art. 6Art. 28Art. 30Art. 35Art. 44

EU AI Act

Prohibited practices, AI literacy, whether any use is high-risk under Annex III, deployer duties, and transparency for chatbots and generated content.

Art. 4Art. 5Art. 6Art. 26Art. 50

HIPAA

Whether AI tools receive PHI, risk analysis coverage, minimum necessary, access controls, audit controls and business associate agreements.

§164.308(a)(1)§164.502(b)§164.312§164.504(e)

CCPA and CPRA

Notice at collection, purpose and retention limits, service provider contracts and automated decision-making.

§1798.100§1798.140

Frameworks

Where you already report against a framework, we map AI controls into it rather than starting a parallel one.

SOC 2ISO/IEC 27001ISO/IEC 42001NIST AI RMF

Also the UAE and Saudi PDPL, India's DPDP Act, US state privacy laws and many more. An assessment is not a legal opinion or a certification.

Questions

We haven't deployed any AI yet. Is this for us?

Yes. We review what you plan to deploy before you build or buy it, so the controls are designed in rather than added later.

Do you need access to our systems?

Read-only access to admin consoles and logs makes the inventory far more complete. We agree exactly what we see, and for how long, with your security team before we start. If access isn't possible, we work from interviews and exports.

How long does an assessment take?

It depends on the size of the organisation and how many systems are in scope. You get a written scope and timeline after the discovery call, before you commit to anything.

Does this replace our DPO or legal team?

No. They own the legal judgement. We bring the technical findings and the fixes.

What happens after the report?

Some clients fix the gaps with their own teams. Others ask us to build the fixes, or to build and deploy the AI they planned. Either way, the report is yours.

How our live systems handle data

Every case study has a section on how its data is handled: what the AI sees, what it never sees and which rules that maps to.

Other services

Start with what you run, or what you plan to.

Tell us on a free 15-minute discovery call how AI is used in your organisation today, or what you want to deploy. We'll tell you what an assessment would cover and what it would take.

  • Pick a time that suits you
  • 15 minutes with an engineer
  • Clear next steps

Prefer to write first? hello@agentimus.io, or WhatsApp. We're glad to sign an NDA before you share details.

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