Why it matters: Regulators are tightening the screws on AI transparency. DLA Piper’s 2024 GDPR fines survey reports €1.78 billion in penalties since 2018—evidence that unprepared organisations pay for gaps.[1] An AI compliance readiness roadmap inside Chaos helps ops leads map obligations, assign owners and produce evidence without drowning in spreadsheets.
TL;DR
- Segment your systems into EU AI Act risk tiers and map each to policies, documentation and monitoring tasks.
- Use Chaos to track data hygiene, impact assessments and human oversight checkpoints.
- Review the roadmap quarterly so your evidence bundle stays ahead of regulators and procurement questionnaires.
What drives an AI compliance readiness roadmap?
The EU AI Act begins phasing in from 2025, layering obligations on high-risk systems: risk management, quality datasets, human oversight and incident reporting. A roadmap ensures you inventory systems, link them to data hygiene controls and document impact assessments before auditors knock.
Case story (hypothetical): An ops lead at a logistics startup tagged their route-optimisation model as “high-risk”, attached supplier contracts, and scheduled quarterly bias tests. When a prospective enterprise customer requested compliance evidence, they exported the Chaos dashboard in minutes.
How do you build the AI compliance readiness roadmap in Chaos?
Inventory AI systems and classify risk
Create a table listing each AI use case, purpose, data source and risk tier (minimal, limited, high, prohibited). Link to supporting documents—impact assessments, supplier assurances, model cards. Use filters so legal, product and customer success teams slice the roadmap by what matters to them.
Map controls, owners and cadence
For every system, assign control owners: data minimisation, human override, redress pathways. Sync these with reminders from the cross-functional handoff template so compliance tasks fire during project transitions.
| AI system | Risk tier | Controls & evidence |
|---|---|---|
| Support triage assistant | Limited risk | Human in the loop, bias check log, DPIA stored in Chaos |
| Fraud detection model | High risk | Risk management plan, human override, audit trail |
| Marketing copy generator | Limited risk | Usage policy, dataset license, watermarking evidence |
| Internal analytics summariser | Minimal risk | Data hygiene checks, role-based access, logging |
Document oversight and incident response
Add playbooks for incident escalation, customer notification, and regulator contact. Link to the context-aware reminders update to trigger drills or refreshers before big releases.
How do you keep the roadmap aligned with changing rules?
Legislation evolves. Subscribe to official bulletins—EU AI Office, UK DSIT—and drop updates into Chaos. Run quarterly governance reviews with legal, data and ops; record outputs in the decision log and update the roadmap instantly. This keeps you ahead of procurement questionnaires, investor diligence and regulator inquiries.
Key takeaways
- Inventory every AI system and classify its risk tier before regulators do it for you.
- Assign control owners with automated reminders so evidence is always up to date.
- Review the roadmap quarterly, logging decisions and policy changes for a clean audit trail.