Govern enterprise AI before it becomes operational risk.
Responsible AI, compliance dashboards, risk assessments and audit-ready controls for organisations deploying AI into real workflows.
Four reasons this can't wait until after deployment
The EU AI Act is now enforceable
High-risk AI systems require documented controls, transparency measures and human oversight today — not when an audit happens. Most organisations don't yet know which of their systems qualify.
A data breach involving AI outputs must be reported within 72 hours
If an AI system generates, processes or routes personal data and something goes wrong, the GDPR 72-hour notification clock starts immediately. Most teams are not prepared for this.
Procurement teams and insurers now require AI governance evidence
Enterprise clients, insurers and procurement functions are asking for AI governance documentation before contracts are signed. 'We'll get to it' is no longer a viable answer.
Staff using unsanctioned AI tools creates undetected risks
When employees use consumer AI tools with company data outside any governance framework, the organisation carries the liability — without ever knowing the exposure exists.
How it works
Classify AI Risk · Mapped
Risk Classification
Identify which systems fall under EU AI Act obligations and what risk tier they sit in — high, limited, or minimal.
Define Oversight · Designed
Human Controls
Set review gates, escalation paths, documentation requirements, and accountability for every AI use case.
Implement Controls · Built
Governance Layer
Deploy logging, role-based access, disclosure notices, and audit trails across all AI touchpoints.
Audit & Report · Ongoing
Continuous Compliance
Generate compliance reports on demand, respond to audits, and keep documentation current as the system evolves.
From compliance checklist to operating control layer
Enterprise AI needs more than technical implementation. It needs risk classification, documentation, monitoring, audit trails and clear human accountability.
AI Governance Scan
Map AI usage, data flows, risks, controls and the strongest compliance priorities.
AI Risk Assessment
Classify use cases by risk level, business impact, human oversight and EU AI Act obligations.
AI Monitoring
Track usage, failures, exceptions, model behavior, approval events and business outcomes.
Audit Logging
Log prompts, retrieved sources, decisions, actions, approvals and escalations for review.
Compliance Dashboards
Give legal, IT and leadership a clear view of AI adoption, risk and performance.
EU AI Act Readiness
Prepare documentation, transparency, oversight and governance processes for regulated AI use.
Controls your legal, IT and leadership teams can verify
We design AI systems around accountability: who can use AI, what data it can access, what it can do autonomously and when a human must approve.
Data Processing Agreement
Signed with every client before work begins. Covers what data we process, your GDPR rights, our sub-processors and data retention terms.
- Covers all project data categories
- EU sub-processors under Standard Contractual Clauses
- Data deleted within 30 days of contract end
- Available to review before any commitment
Security architecture
Every system runs on customer-owned infrastructure inside the EU. Encryption, access control and audit logging are designed in, not bolted on.
- AES-256 at rest, TLS in transit
- Role-based access with least-privilege default
- EU data residency, no US routing
- 72-hour breach notification (GDPR Art. 33)
Prepare before AI becomes business-critical
We help classify use cases, document controls, define human oversight and monitor AI activity so enterprise teams can deploy AI with confidence.
What teams ask before they start a governance project
Need AI governance before scaling automation?
From advisory call to full implementation. We handle it.
Free intro call · Your infrastructure · GDPR compliant