AI Implementation & Governance
Practical governance and delivery for AI systems — enabling innovation while managing risk, transparency, accountability, and compliance. Designed to support ISO 42001 implementation, aligning to NIST RMF and EU AI Act. and real-world AI oversight.
Speak to a SpecialistMost clients start with an AI Governance Readiness Assessment (typically 1–2 weeks) to clarify scope, AI inventory, key risks, and a pragmatic implementation roadmap.
Our AI Implementation & Governance Services
AI Governance Readiness & Gap Assessment
Assess current governance maturity, obligations, and control gaps against ISO 42001 principles and Annex A themes.
Deliverables: gap report, priority risks, quick wins, implementation roadmap
Typical duration: 1–2 weeks
AI Inventory & Classification
Build an AI system inventory and classify use-cases by risk, criticality, data sensitivity, and impact.
Deliverables: AI register, classification model, ownership/RACI, approval thresholds
Typical duration: 1–3 weeks
AI Risk Assessment & Controls Design
Assess risks (bias, privacy, security, safety, explainability) and define practical controls and guardrails.
Deliverables: AI risk register, control catalogue, mitigation plan, residual risk sign-off pack
Typical duration: 2–4 weeks
Policies, Standards & Operating Model
Define governance roles, decision rights, policies, and procedures that fit your delivery and product lifecycle.
Deliverables: AI governance policy suite, operating model, approval workflow, evidence structure
Typical duration: 3–6 weeks
Data Governance for AI
Strengthen dataset controls: provenance, quality, consent, retention, lineage, access, and training data suitability.
Deliverables: dataset governance controls, data quality checks, lineage approach, model input controls
Typical duration: 2–6 weeks
Model Lifecycle Governance (Build–Deploy–Change)
Define governance across development, testing, release gates, monitoring, drift detection, model transparency, retraining, and change control.
Deliverables: lifecycle gates, testing strategy, monitoring KPIs, change control, rollback playbooks
Typical duration: 3–8 weeks
Internal Audit, Assurance & Management Review
Independent assurance of AI governance effectiveness, readiness for certification, and executive review materials.
Deliverables: audit plan, audit report, findings & corrective actions, management review pack
Typical duration: 1–2 weeks
ISO 42001 Implementation & Certification Support
Hands-on support to implement controls, organise evidence, coach teams, and support certification audits.
Deliverables: implementation tracker, evidence index, audit coaching, closure support
Typical duration: 6–14 weeks (phased)
How We Deliver
A structured approach that creates real governance (not paperwork) and embeds AI oversight into delivery, operations, and decision-making.
Scope & Inventory
Define scope, build the AI register, set ownership, and classify use-cases by risk and criticality.
Assess & Prioritise
Assess AI risks, validate obligations, and prioritise controls and remediation using a pragmatic roadmap.
Implement
Deploy policies, workflows, lifecycle gates, monitoring, and evidence structures aligned to ISO 42001.
Assure & Improve
Assurance checks, internal audit, management review, corrective actions, and continuous improvement.
Why Infintrix?
Qualified AI Expertise
Delivered by experienced practitioners focused on practical governance, evidence, and measurable oversight.
Risk-Driven, Business-Ready
Controls tailored to real AI risks (bias, privacy, security, safety) and your operational context.
Integrated with ISO 27001 & BCM
Where needed, we align AI governance with information security and resilience for a consistent control environment.
Lean Documentation, Strong Evidence
We keep documentation minimal and focus on the evidence auditors and executives actually need.