Buyer's guide · updated for the Digital Omnibus

How to choose AI governance software

Choose AI governance software by what it must produce, not by its feature list. Establish which frameworks you are answerable for, whether the tool models your role as well as your systems, what documents it generates, where your data is processed, and whether evidence counts once or once per framework.

Last reviewed · against the consolidated text and Commission guidance

Eight questions, in the order they rule a vendor out

Ordered by what eliminates options fastest rather than by what is most interesting to discuss. A tool that cannot model your role cannot produce your obligations, so that question comes before anything about dashboards or integrations.

Ask each of these in a demo. The third column is what a good answer sounds like.
AskWhy it decides somethingA good answer
Which frameworks does it actually carry, and at what depth?Most tools claim several and implement one properly. The difference shows in whether it holds clause-level records or a checklist named after the standard.A named list, with what each one produces. Ask to see the obligation set for one of your systems — not a feature matrix.
Does it model your ROLE, or only your systems?Under the EU AI Act a provider and a deployer of the same system owe different duties, and one organisation can hold both roles for different systems. A tool that records only the system cannot derive either duty set.Role is recorded per system and the obligations change when it changes. Article 16 duties for a provider, Article 26 duties for a deployer.
What does it produce that you could hand to someone?The deliverable is the point. Registers and dashboards are how you get there; an Annex IV file, a fundamental rights assessment or a Statement of Applicability is what an auditor, a customer or an authority actually asks for.Named documents you can export, with the data behind each field traceable to who entered it and when.
Where does your data live, and who processes it?You are buying compliance software with compliance data in it. Hosting and sub-processors are a GDPR question about your own processing before they are a preference.A published sub-processor register, a data processing agreement you can read before buying, and a straight answer on where the AI features run.
Does evidence count once, or once per framework?One control often satisfies obligations under more than one regime. If the tool cannot reuse a record across frameworks, you will maintain the same evidence several times.One evidence record linked to every obligation it closes, with the basis for each reuse stated rather than assumed.
Is the price published?An unpublished price is a sales cycle, and for an organisation under fifty people it is usually also a signal that you are not the customer the product was built for.A price list with limits on it. If it is quote-only, ask what the smallest deployment they have sold looks like.
What happens when the law changes?The EU AI Act timetable moved twice in 2026. A tool that hard-codes dates and article numbers into content rather than deriving them will quietly teach you a superseded rule.A dated record of what changed and when the content was last reviewed against the consolidated text.
Can you get your data out?Compliance records outlive vendor relationships, and some of them carry statutory retention periods measured in years.Export in a structured, machine-readable format, available without asking, and a written retention position for after you leave.

Five categories, and who each one is for

"AI governance software" covers products built for different buyers. Most shortlists go wrong at this step rather than at the feature comparison: an enterprise governance suite and an EU-AI-Act-native tool are not competing for the same organisation, and comparing them feature by feature hides that.

Named examples, with what each category is genuinely good at.
CategoryExamplesWho it suitsWhat to watch for
Enterprise GRC suitesOneTrust, TrustArcLarge organisations that already run privacy, security and third-party risk in one place and want AI governance to join it.Priced and implemented for that scale. The EU AI Act module is one of many, and the buying cycle is a procurement cycle.
AI governance platformsCredo AI, Holistic AI, SaidotOrganisations with a model portfolio and a data-science function, wanting policy, risk and model oversight together.Strongest where there are models to govern. Less useful if you mostly BUY AI rather than build it, which is most SMEs.
Security compliance automationVanta, Drata, ScytaleTeams whose first need is SOC 2 or ISO/IEC 27001 and who want the EU AI Act alongside it on one control set.Built around continuous control monitoring of infrastructure. Depth on the Act itself varies, and evidence of a passing control is not an Annex IV file.
EU-AI-Act-native toolsVeritome, Legalithm, EuroComplyEuropean organisations whose driver is the Act specifically, and who need the documents rather than a dashboard.Younger products with smaller ecosystems. Ask what happens when your scope widens beyond the Act.
Consultants and law firmsAdvisory engagementsA one-off classification question, a contested Article 6 call, or a board that needs an opinion signed by someone insured.Advice is not a system of record. The obligations recur; a report does not update itself, and published SME readiness estimates run well into five figures.

Do these two things before you book a demo

Count your AI systems and write down what each one does. Almost every shortlist is built before this exists, and it is the input every vendor will ask for in the first ten minutes. It also tends to settle the decision on its own: an organisation with three limited-risk systems and one framework is buying something different from one with twenty systems and a high-risk classification.

Establish your role for each one. Provider, deployer, importer or distributor — and it can differ per system. The duties, the documents and therefore the tool you need all follow from it. Our free obligation check answers both in about five minutes and stores nothing.

Questions people ask before they buy

Do I need AI governance software at all?

Not necessarily. If you use a handful of AI systems, none of them high-risk, and one person can hold the whole picture, a spreadsheet and a calendar will carry you — and the EU AI Act does not require a tool. Software earns its place when the register stops fitting in one head: several systems, several owners, more than one framework, or an obligation that recurs on a date somebody has to be reminded of.

What is the difference between AI governance software and GRC software?

Scope and starting point. A governance, risk and compliance suite starts from the organisation's control set and adds AI as a domain within it. AI governance software starts from the AI system — what it is, who operates it, what it does to whom — and derives duties from that. For the EU AI Act the second shape matters, because the Act attaches obligations to a system's classification and to your role in respect of it, not to your company as a whole.

How much should this cost?

The published end of the market runs from free tiers to a few hundred euro a month for an SME. Enterprise GRC suites and AI governance platforms are typically quote-only and land in five figures a year or more. For comparison, published practitioner estimates put a consultant-led SME readiness exercise in the €5,000–€25,000 range as a one-off, before anything recurs.

Can any tool make my organisation compliant?

No, and a vendor who says otherwise has told you something useful about the vendor. Software can hold the register, derive the obligations, keep the evidence and produce the documents. It cannot implement a control, make a classification decision, or bind a regulator. Compliance is the work; the tool is where the work is recorded and proved.

Should I wait, given the timetable moved?

The parts that have already applied do not wait. Prohibitions and the AI-literacy duty have applied since 02.02.2025 and the Article 50 transparency duties since 02.08.2026; Regulation (EU) 2026/1744 deferred the standalone Annex III high-risk obligations to 02.12.2027 and the Annex I embedded ones to 02.08.2028. What the deferral bought is time to do the high-risk work properly, not permission to start later — the first step, knowing what you have and how it classifies, is the same either way.

How many frameworks should one tool cover?

As many as you are actually answerable for, and no more. Breadth is only useful where the work genuinely overlaps — one evidence record closing an obligation under two regimes is worth having, a sixth logo on a feature matrix is not. Veritome carries 5: the EU AI Act, the GDPR, ISO/IEC 42001, ISO/IEC 27001 and the NIST AI Risk Management Framework, and shows where a control counts twice and where it does not.