Realistic Fastest Timeline
For limited-risk AI systems, compliance can be achieved in as little as 4 to 6 weeks. High-risk systems requiring conformity assessment need a minimum of 3 to 6 months.
| Phase | Duration | What Happens |
|---|---|---|
| AI system inventory and risk classification | Week 1 | Catalog all AI systems, determine risk levels |
| Documentation and transparency obligations | Weeks 2 – 3 | Generate technical docs, implement transparency measures |
| Risk management and bias testing (high-risk) | Weeks 3 – 8 | Implement risk management, test for bias |
| Conformity assessment (high-risk only) | Weeks 8 – 16 | Notified body review and assessment |
The Sprint Approach: Parallelize Everything
The fastest teams classify first and parallelize by risk level:
- Day 1: Sign up for an automation platform. Catalog every AI system in your organization.
- Week 1: Classify each system's risk level. For minimal and limited-risk systems, compliance is largely about transparency — implement disclosures immediately.
- Weeks 2 – 3: For high-risk systems, start technical documentation, risk management, and bias testing in parallel.
- Weeks 3 – 6: Implement human oversight mechanisms and data governance requirements while finalizing documentation.
- Week 6+: Engage a notified body for conformity assessment if required.
Our Recommendation
LowerPlane's AI-powered platform can get you compliant in as little as 4 weeks for limited-risk systems by automating AI system classification, generating required technical documentation, and tracking all obligations across your AI inventory. For high-risk systems, the platform manages the full conformity documentation lifecycle.
Automation Shortcuts That Save Weeks
- Automated risk classification. The platform classifies your AI systems against the Act's risk categories using guided workflows.
- Technical documentation generation. Auto-generate the extensive documentation required for high-risk AI systems from your model metadata.
- Bias testing frameworks. Pre-built testing templates for fairness and non-discrimination assessments.
- Transparency obligation tracking. Automated tracking of disclosure and labeling requirements across all AI systems.
Common Bottlenecks and How to Avoid Them
- AI system inventory. Organizations often undercount their AI systems. Include all ML models, automated decision-making, and generative AI tools.
- Risk classification disputes. Get legal alignment on risk classification early. Disagreements waste weeks.
- Notified body availability (high-risk). Conformity assessment bodies are in high demand. Engage one early if you have high-risk systems.
- Training data documentation. High-risk systems require data governance documentation. Start compiling training data records immediately.
Get Started
Start your fast-track with LowerPlane → and be AI Act-compliant in weeks, not months.