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AI Governance

AI you can trust — governed, secure and accountable.

ISO 9001-certified delivery. Our AI governance program is aligned to leading international frameworks so you can adopt AI with confidence.

ISO/IEC 42001NIST AI RMFOECD AI PrinciplesGDPREU AI Act
Data security

Controls at every layer

Encryption everywhere

Data encrypted in transit and at rest.

Role-based access control

Least-privilege access to systems and data.

Data isolation

Client data kept logically separated.

Environment separation

Distinct dev, staging and production environments.

Audit logging

Actions and access are logged and reviewable.

Data minimisation & retention

We collect and keep only what is needed.

Controlled model access

Governed access to model providers and tools.

PII handling

Sensitive data handled to policy and regulation.

Monitoring & incident response

Continuous monitoring with a defined response plan.

Responsible AI

Six principles we enforce

Fairness

We test for and mitigate harmful bias.

Transparency

Decisions and data flows are explainable.

Accountability

Clear ownership for every AI system.

Privacy

Privacy-by-design across the lifecycle.

Security

Secure engineering from day one.

Human oversight

People stay in control of consequential decisions.

The policy

AI Governance Policy

Version 1.0 — last reviewed July 2026 — owner: AI Governance Committee.

1. Purpose & Scope

Defines how Mavlers.ai governs the responsible use of AI across all engagements.

2. Governance & Accountability

Named owners and a governance committee oversee AI systems end to end.

3. Acceptable Use

Clear boundaries for how AI may and may not be used.

4. Data Governance

Data minimisation, retention and lineage controls.

5. Security Controls

Encryption, access control, isolation and monitoring.

6. Privacy & Compliance

Aligned to GDPR and the EU AI Act.

7. Human Oversight

Human-in-the-loop for consequential decisions.

8. Model & Vendor Management

Governed selection and review of models and vendors.

9. Quality, Testing & Evaluation

Systematic evaluation before and after deployment.

10. Monitoring & Auditing

Continuous monitoring and periodic audits.

11. Incident Response

A defined plan for detection, response and remediation.

12. Training & Review

Ongoing training and scheduled policy review.

Governed lifecycle

Governance across the delivery lifecycle

1
Step 1
Discovery
2
Step 2
Design
3
Step 3
Build & Test
4
Step 4
Deploy
5
Step 5
Operate

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