EU AI Act Compliance for SMEs: ActScope vs Consultants, Enterprise Platforms and DIY

A disclaimer before anything else: I build ActScope, so I'm not neutral. What I can do is be specific about who each option is for, including when ActScope is the wrong choice. If you finish this post and decide a consultant or a different tool fits you better, it has done its job.

Here's the situation most of the founders I talk to are in. They have somewhere between 3 and 15 AI systems. Article 50 transparency already applies, and if anything is high-risk, the full documentation set is due by 2 December 2027. They don't have a compliance team. They have a CTO, maybe a part-time legal advisor, and a budget that can't absorb a six-figure line item.

There are five realistic ways to handle that. Let's go through them.

What an SME actually needs

Strip away the vendor language and the job is fairly concrete:

1. Know what you have: an inventory of AI systems, each classified, with your role (provider or deployer) recorded.
2. Close what's already due: Article 50 disclosures and labelling, a prohibited-practices check, and AI literacy measures.
3. Produce the high-risk documentation for any Annex III systems: risk management, data governance, Annex IV technical documentation, human oversight, post-market monitoring, and where relevant a Fundamental Rights Impact Assessment.
4. Keep evidence: who did what, when, and why each obligation is met, in a form you can hand to a customer, investor or regulator.
5. Keep it current as systems, guidance and deadlines change. The Digital Omnibus already moved the high-risk dates once this year.

Every option below handles some of these well and some badly.

Option 1: Do it yourself (templates and a general AI assistant)

What it is: downloaded templates, the regulation text, and a general-purpose chatbot to help draft.

Cost: close to zero in cash. Typically 150 to 300 hours of internal time for a company with a couple of high-risk systems, more if nobody on the team has read the Act before.

Good at: understanding your own systems deeply. Nobody knows your product better than you, and writing the documents yourself forces real thinking about risk.

Weak at: consistency and currency. Generic templates don't know your system, and general chatbots often don't know the current deadlines or the difference between a provider's and a deployer's duties. There's no tracker, so evidence ends up scattered across documents and drives. It's very easy to finish the documents and never update them.

Choose it if: you have one minimal or limited-risk system, or a team member with real regulatory experience and time to spare.

Option 2: Consultants and law firms

What it is: a specialist firm assesses your systems and drafts or reviews the documentation.

Cost: usually billed by the hour or per project. For a full high-risk documentation package, quotes in the tens of thousands of euros are common, and complex or multi-system engagements go well beyond that.

Good at: judgment. Borderline classification calls, novel use cases, contested interpretations, sector rules layered on top of the AI Act, and anything that may end up in front of a regulator or a court. A legal opinion carries weight a tool can't.

Weak at: cost and continuity. You get documents at a point in time. When your model, data or the guidance changes, you pay again. Many SMEs also find they're paying senior rates for work that is largely structured drafting.

Choose it if: your case is genuinely novel or high-stakes (biometrics, law enforcement, critical infrastructure, medical devices), or you need a formal legal opinion. Many SMEs get the best result by combining a tool for the bulk of the work with targeted legal review at key milestones.

Option 3: Enterprise AI governance platforms

What it is: platforms such as Credo AI, Holistic AI, OneTrust AI Governance and Saidot, built for organisations governing large AI portfolios across many teams.

Cost: these vendors are sales-led and, as far as I could find, don't publish prices. Industry estimates commonly put annual contracts somewhere from the low tens of thousands of euros into six figures, depending on scale and modules.

Good at: scale. Model registries, integrations with ML pipelines and cloud platforms, policy management across many frameworks, approval workflows for many stakeholders, and executive reporting. If you have dozens or hundreds of models and a governance function to run them, this is the category built for you.

Weak at: fitting an SME. Implementation usually involves a sales process and onboarding project, and much of the platform's value assumes a governance team that most 30-person companies don't have. For 3 to 15 systems, you'd be paying for capacity you won't use.

Choose it if: you're a large organisation, or a scale-up with a sizeable AI portfolio, multiple product lines and a dedicated risk or compliance team.

Option 4: Security compliance automation platforms

What it is: tools such as Vanta and Drata, built around SOC 2 and ISO 27001, which have added AI governance frameworks such as ISO 42001 and AI Act-related controls.

Cost: published third-party estimates put entry-level plans at roughly $10,000 a year for a single framework, rising with frameworks and company size.

Good at: evidence automation across your tech stack, if you already use them for security compliance. Adding an AI framework to a platform you already pay for can be efficient, and ISO 42001 pairs well with the AI Act.

Weak at: AI Act depth, which varies by vendor and changes quickly. These platforms are strongest at control checklists and automated evidence from your infrastructure. Check whether they produce system-specific documents, such as Annex IV technical documentation, Article 50 notices and a Fundamental Rights Impact Assessment, or mainly track that you have them.

Choose it if: you already run SOC 2 or ISO 27001 on one of these platforms and want AI governance in the same place, or ISO 42001 certification is a commercial requirement for you.

Option 5: Self-serve EU AI Act tools

What it is: software built specifically for the AI Act, with guided classification, document generation and obligation tracking, and published self-serve pricing. ActScope is in this category. So are a growing number of other tools, several of them with free tiers and prices in a similar range.

Cost: typically free to low hundreds of euros a month.

Good at: getting an SME from zero to a documented, evidenced position quickly and affordably, and keeping it current.

Weak at: the things only humans or large platforms do: formal legal opinions, deep ML-pipeline integrations, and governing very large AI portfolios.

Because this category is crowded and young, here's how I'd compare tools within it, including ActScope:

• Is it current? Does it reflect the Digital Omnibus dates and the 2026 Commission guidance, or still say "2 August 2026" for high-risk?
• Is it role-aware? Provider and deployer duties differ a lot. Does the tool ask, and change the obligations accordingly?
• Are the documents specific to your system, built from your system's actual details, or generic templates with your company name filled in?
• Does it track evidence, or just tick boxes? A tracker that lets you mark an obligation done without recording how is not much of an audit trail.
• Does it cover Article 50, the obligation most SaaS companies face first?
• Can you export everything in formats your customers, auditors and lawyers will accept?
• What does it cost at your size, after any free period ends?

How the options compare

Where ActScope fits

ActScope is built for the SME in the middle of that table: a company with a handful of AI systems, no compliance department, and real obligations under both Article 50 and Annex III. What it does:

• Free classifier, no signup. Risk tier, role, applicable obligations and their deadlines in about five minutes per system, with the reasoning written out.
• Role-aware obligations. Provider and deployer duties are separated, including what changes if you've modified or rebranded someone else's AI.
• System-specific documents. Risk Management Plan, Data Governance Framework, Technical Documentation (Annex IV), Human Oversight Protocol, Post-Market Monitoring Plan, Transparency Notice, Fundamental Rights Impact Assessment and Classification Report, generated from the details you give about each system. Gaps are listed as open items instead of being papered over.
• A tracker that requires evidence. You can't mark an obligation complete without recording how it's met, which is what makes it useful in an audit or due diligence.
• Gap analysis against your existing policies. Upload your GDPR or ISO documentation and see what already counts.
• Exports to PDF, Word and an audit pack, plus shareable compliance summaries for customers and investors.
• An AI assistant that answers questions using your own systems, obligations and documents.
• Current dates. The product reflects the Digital Omnibus timeline.

Pricing is public: the classifier is free. Starter is €39/month (up to 5 systems, Article 50 notices, checklist and exports). Pro is €99/month, or €83/month billed annually (unlimited systems, all document types, gap analysis, the evidence tracker and the assistant). Both come with a 14-day free trial and can be cancelled anytime.

When ActScope is not the right choice

• You need a legal opinion. ActScope produces structured, well-reasoned first drafts and a clear classification rationale. It doesn't replace a lawyer, and generated documents should be reviewed before you rely on them.
• You govern a large AI portfolio across many teams. Pro accounts are single-user today, and there are no ML-pipeline integrations. An enterprise platform fits better.
• Your AI is part of a regulated product such as a medical device. You'll be working with a notified body and sector rules, and specialist counsel is worth it. ActScope can help with the AI Act layer, but it isn't the whole job.
• You want ISO 42001 certification run alongside SOC 2. A security compliance platform you already use may be the more natural home.

A sensible setup for most SMEs

For most companies I talk to, the best value is a combination: a self-serve tool to do the bulk of the classification, documentation and tracking, plus a few hours of legal review at the moments that matter. Those are usually the first classification of anything borderline, the final technical documentation for high-risk systems, and the conformity assessment. You get the structure and speed of software, with professional judgment where it counts, for a fraction of a full consulting engagement.

Classify your first system free →

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Common questions

Is software enough to be compliant? Software can produce, organise and track the documentation and evidence the Act asks for, which is most of the work. Compliance also depends on what you actually do: real human oversight, real monitoring, real fixes when you find problems. No tool can do those for you, and for borderline or high-stakes cases, legal review is worth it.

Can we start with ActScope and add a consultant later? Yes, and that's a common path. Starting with a structured inventory, classification and draft documents makes a consultant's time far more efficient, because they review and refine rather than start from scratch.

What if we outgrow ActScope? Everything exports to PDF, Word and an audit pack, so your documentation and evidence move with you.

Why are enterprise platforms so much more expensive? They're built for a different problem: governing many models across many teams, with deep integrations and workflows. That's valuable at scale, and unnecessary for a company with a handful of systems.

How current is this comparison? Written in October 2026. Vendors in every category change their products and prices often, so check current details with any vendor before you decide.

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Related guides:

• The EU AI Act Compliance Checklist: What to Do Now, and What Can Wait
• The Digital Omnibus Explained: The New EU AI Act Timeline
• Article 50 in Practice: Chatbot Disclosure, AI Content Labels and Watermarking
• EU AI Act vs GDPR: How They Overlap and Where They Don't