Solutions / B2B SaaS compliance
EU AI Act compliance software for SaaS teams.
Bring AI inventory, regulatory role, risk classification, obligations, evidence, suppliers, training and review into one maintained record. EU AI Fit helps the team understand what it knows, what remains uncertain and who needs to act next.
Product demonstration · 2 minutes 15 seconds
What EU AI Fit does
See how EU AI Fit connects AI inventory, responsibility, exposure, evidence, operational assurance and training in one maintained workflow. All organisations, people and systems shown were created for demonstration, and no client data appears.
Read the video transcript
EU AI Fit gives an organisation one practical place to govern artificial intelligence through its working life—not just a one-off assessment. The workspace starts with what needs attention now, bringing together actions, decisions, responsible owners, evidence gaps and upcoming reviews.
Teams can build an AI portfolio manually or through a controlled spreadsheet import. For each system, EU AI Fit retains the exposure check, role and classification reasoning, accepted accountable ownership, lifecycle approvals, obligations and reassessment history.
Evidence stays connected to the requirement it supports. Governance continues through risks and controls, indicators, incidents, recovery assurance, FRIA readiness and recurring review. Supplier questionnaires, buyer responses and independent specialist reviews remain part of the same controlled record.
Role-based learning and system-specific briefings create evidence of the measures taken for people. EU AI Fit does not certify compliance and is not legal advice; it provides a clearer operating record of what is used, who is responsible, what has been reviewed and what should happen next.
Why this matters
A SaaS business can hold several EU AI Act roles at once.
A company may provide an AI-enabled product, deploy third-party AI in its own operations and depend on foundation models or embedded supplier features. The relevant role follows the facts of each system and use—not the company label.
Spreadsheets can list systems, but they struggle to preserve the reasoning, evidence, supplier dependencies, approvals and material changes behind each conclusion. EU AI Fit creates a connected governance record without presenting an automated score as proof of compliance.
Who it is for
For SaaS teams that build, integrate, procure or operate AI.
- Product and engineering teams adding AI to customer-facing software
- Compliance, privacy and security leads coordinating the evidence
- Procurement teams reviewing AI suppliers and model dependencies
- Leadership teams preparing for enterprise buyer or investor scrutiny
How the work moves
Move from scattered AI use to an owned governance record.
- 01
Find and own the AI use
Record systems built, bought or embedded, their intended purpose, affected people, markets, suppliers and accountable owners.
- 02
Reason about the position
Run an early exposure screen, establish the organisation's likely role and preserve the facts and rationale behind risk and transparency decisions.
- 03
Turn duties into work
Map applicable obligations to named owners, expected evidence, review dates, supplier requests, training and specialist questions.
- 04
Maintain and explain
Track lifecycle change, operational risks, incidents, reassessment and management decisions, then prepare a buyer-facing assurance record without exposing private workspace material.
In this scenario
A customer-facing assistant built on a third-party model
In this scenario, a B2B support platform plans to summarise customer cases and draft responses using an external model API.
The product team records the customer use, the model supplier, human review, affected data, EU availability and the decisions the output can influence. The governance lead then separates the SaaS company's own responsibilities from evidence it must obtain from the model supplier.
The initial screen opens classification, transparency, supplier-assurance, human-oversight and training work. Owners accept each action, evidence remains linked to the obligation it supports and a material model or purpose change triggers reassessment.
When a buyer asks how the feature is governed, the company can explain the current facts, decisions, evidence and open limitations instead of returning a generic AI policy.
What is retained
Keep the evidence behind each decision connected to the system.
A readiness sprint establishes the first portfolio and turns gaps into accepted work.
- AI system and use-case inventory
- Provider, deployer and value-chain role rationale
- Risk, transparency and obligation decisions
- Evidence index with ownership and review dates
- Supplier assurance, training and independent-review records
- Lifecycle, incident and reassessment history
Source basis
The official material behind the workflow.
Source review updated 31 August 2026. Read our editorial and regulatory review policy, check the current source and obtain qualified advice for your circumstances.
- Regulation (EU) 2024/1689
The official consolidated legal text, including operator roles, risk rules, obligations and 2026 amendments.
- EU AI Act Service Desk
European Commission navigation, compliance tools and implementation resources.
- Article 25 — responsibilities along the AI value chain
Official text relevant when SaaS products depend on other AI providers and components.
Next step
Start with a portfolio small enough to finish.
Choose the first customer feature, internal system or supplier dependency, establish the facts and use the result to build a repeatable governance process.
Discuss the first portfolio