How Companies Are Building EU AI Act Compliance Tools With Floot

When the EU AI Act entered full enforcement in 2026, it created an immediate and urgent demand for compliance tooling. Regulatory affairs teams, legal departments, and risk officers suddenly needed dashboards, tracking systems, and audit workflows — yesterday. The problem? Most IT departments had a 6-to-12-month backlog.

A growing number of organizations have found a faster path: building their own compliance tools with Floot, without writing a line of code.

What the AI Act Actually Requires

The regulation classifies AI systems into four risk tiers: unacceptable, high, limited, and minimal. For high-risk systems — which includes AI used in hiring, credit scoring, healthcare triage, biometric identification, and critical infrastructure — organizations must:

• Maintain a technical risk assessment document for each deployed system
• Implement logging and audit trail capabilities
• Establish a human oversight mechanism before deployment
• Register high-risk systems in the EU AI database
• Conduct conformity assessments before and during deployment
• Appoint an EU-based responsible person if the organization is based outside the EU

None of this requires a coding project — but it does require a system. That's exactly what Floot users are building.

Building an AI Compliance Dashboard

The most common tool compliance teams are building is a centralized AI inventory and risk register — a single place to track every AI system in use, its risk classification, and its compliance status.

Starting prompt

Extending with workflows

Once the core registry is live, teams add workflow features via Floot's chat:

• "Add a review request form that notifies the assigned reviewer by email."
• "Create a risk assessment questionnaire that auto-populates the risk tier field."
• "Show a red banner on any system that hasn't been reviewed in 90 days."
• "Build an audit log that tracks every edit with the editor's name and timestamp."

Real-World Results

One financial services compliance officer described building their tool over a single afternoon: "We had 23 AI systems we needed to document. I built the registry in Floot in about three hours, shared it with the team, and we had all 23 systems logged and classified within a week. It would have taken our IT team months to build something equivalent."

A healthcare provider used Floot to build a conformity assessment workflow — a multi-step form with approvals at each stage — that their clinical AI team runs before each new system deployment. "It's replaced a 40-page Word document that was constantly out of date," said their head of digital governance.

5 Tools Compliance Teams Are Building

1. 1AI system inventory and risk register
2. 2Conformity assessment workflows with multi-step approvals
3. 3Incident and near-miss reporting portals
4. 4Human oversight logging dashboards
5. 5Third-party vendor AI disclosure trackers

Why No-Code Works for Compliance

Compliance requirements change. New guidance from national supervisory authorities arrives regularly. The ability to update a form, add a field, or change a workflow in minutes — without filing an IT ticket — is a genuine competitive advantage for compliance teams using no-code tools.

Floot's role-based access controls also mean that sensitive compliance data can be restricted by department, with audit trails enabled by default. That's not a feature most teams could easily build from scratch.