AI Compliance Readiness
AI Compliance Readiness is Boardroom's structured advisory and implementation approach for companies using AI in real operations. The goal is a documented, defensible AI operating model — not a certificate on the wall. We work alongside your legal, compliance and operations teams to close the gap between AI in production and AI you can explain to auditors, clients and regulators.
Who it's for
- Companies using AI in sales, service, marketing or operations.
- Compliance, risk and legal leads who need operational evidence, not just policy PDFs.
- Executives preparing for GDPR audits and EU AI Act aligned practices.
- Operators who want a practical, staged readiness roadmap.
Problems it solves
- No inventory of where AI is actually used in the business.
- No risk classification — high-risk and low-risk AI treated identically.
- Human oversight assumed but not documented or evidenced.
- Unclear which data sources feed which AI system.
- No incident or audit playbook when something goes wrong.
- Unclear split of responsibility between vendor, operator and end client.
How it works
- 1Discovery: inventory every AI use case, model, prompt and data source.
- 2Classify each use case by risk and by regulatory sensitivity.
- 3Design the human oversight model: who approves, who reviews, who owns.
- 4Review data sources: origin, consent, retention and access controls.
- 5Set up audit logging and an incident response playbook.
- 6Document the client approval and responsibility matrix.
- 7Deliver a staged implementation roadmap with named owners and dates.
AI system registry
- Single register of every AI system: purpose, scope, channels, data.
- Owner, reviewer and approver named per system.
- Version and change history per prompt, model and integration.
- Registry maintained as AI systems evolve, not a one-off document.
Policy and control mapping
- Map each AI system to internal policies and control objectives.
- Align control language with GDPR and EU AI Act guidance.
- Highlight gaps between stated policy and operational reality.
- Deliver a control matrix your compliance team can actually use.
Risk classification
- Low-risk: informational, non-personal, non-decisional AI use.
- Medium-risk: qualification, routing, templated messaging.
- High-risk: pricing, contracts, complaints, sensitive personal data.
- Controls scale with risk — not everything treated the same.
Human oversight model
- Approval points defined per risk level and per channel.
- Escalation paths from AI agent to named human operator.
- Documented sampling and quality review process.
- Evidence that oversight is happening — not just declared.
Data source review
- Origin and lawful basis for each data source feeding the AI.
- Data minimisation — AI only sees what the task needs.
- Retention windows defined per data set.
- Access controls reviewed against role, not against convenience.
Audit and incident readiness
- Audit-ready logs for AI actions, decisions and data access.
- Incident playbook: detection, containment, communication, review.
- Named incident owner and escalation contacts.
- Post-incident review loop back into policies and controls.
Client approval and responsibility matrix
- Clear split of responsibility between Boardroom, the operator and the end client.
- Approval matrix for tone, claims, prohibited topics and sensitive actions.
- Sign-off log for new prompts, flows and knowledge changes.
- Documented boundaries the AI is not allowed to cross.
Practical roadmap for implementation
- Phase 1: discovery, registry and risk classification.
- Phase 2: oversight model, disclosure copy and audit logging.
- Phase 3: incident readiness and quarterly review cadence.
- Phase 4: continuous improvement as regulation and AI use evolve.
Important disclosure
Boardroom Digital Intelligence is an AI systems company, not a law firm. This page describes an advisory and implementation approach for compliance-aware AI system design and governance readiness. It does not constitute legal advice, certification, or a guarantee of regulatory compliance with GDPR, the EU AI Act, or any other regulation. Legal review, regulatory filings and final approvals remain the client's responsibility.
Request Compliance Readiness Audit
Use the buttons on this page to book a working session. We run the discovery, produce the registry and give you a staged readiness roadmap with named owners.
Frequently asked questions
Do you certify us as GDPR or EU AI Act compliant?+
No. We deliver compliance-aware system design and AI governance readiness. Certification, regulatory filings and legal sign-off are the client's responsibility, working with their legal and compliance teams.
Is this legal advice?+
No. Boardroom is an AI systems company, not a law firm. We provide the operational controls, evidence and documentation your legal and compliance advisors need.
How long does readiness take?+
Most operators reach a documented, defensible AI operating model within a staged 60–120 day roadmap, depending on the number of AI use cases and data sources.
Can you work with our existing policies?+
Yes. We map to your existing policies where they exist and only propose new controls where operational reality doesn't yet match stated policy.
Ready to see it on your numbers?
Book a working session — we map your lead flow live and show where the leaks are.