When every new model waits weeks for sign-off, teams start working around the governance process, and controls that were meant to reduce risk end up increasing it. Over ten days, participants learn to run oversight of artificial intelligence as a dependable operation that is fast for low-risk tools and rigorous for high-impact systems. Topics include value stream mapping of the AI lifecycle, risk-tiered intake and triage, standard work and decision rights, governance KPIs and key risk indicators, and the Plan-Do-Check-Act logic of ISO/IEC 42001, supported by the NIST AI Risk Management Framework and ISO/IEC 23894.
The second half covers automated policy gates in MLOps and CI/CD pipelines, model registries, drift and fairness monitoring, AI incident operations, root cause analysis, corrective action and audit-ready evidence capture. Heads of AI governance, model and operational risk managers, MLOps and platform engineers, compliance leads, process improvement specialists and internal auditors in financial services, telecoms, government and development organisations will benefit. The programme runs in the classroom, online or in-house and carries a CPD-accredited certificate. Participants finish with a redesigned governance operating model and a metrics dashboard specification ready to take back to work.
As AI use spreads from a handful of pilots to dozens of models, chatbots and vendor features, the governance function faces a volume problem. Manual reviews, emailed spreadsheets and committees that meet once a month cannot keep pace, and the result is either a queue that frustrates delivery teams or a process that is quietly bypassed. Neither outcome satisfies regulators, auditors or the people affected by automated decisions.
The Operational Excellence in AI Governance, Responsible AI & ISO 42001 Training Course applies process improvement disciplines to the oversight of AI. The first five days treat the AI management system as a set of processes to be mapped, measured and standardised: lifecycle value streams, intake and triage, proportionate review paths, documented procedures and performance metrics aligned with the requirements of the standard. The second five days go deeper into operating at scale, with controls built into machine learning pipelines, production monitoring, incident and change management, supplier operations and an audit approach that samples efficiently. The programme closes with an integrated project in which each participant redesigns the governance operating model of a case organisation.
Delivery mixes process mapping workshops, metric design clinics, pipeline walkthroughs and incident simulations, so that participants work through both the governance and the engineering sides of the problem. Lean and Six Sigma tools are introduced where they help, without assuming prior training in either.
Through the ten days, participants will learn to:
Each participant returns to work with:
Learning follows the way process improvement teams actually work. Methods include:
Day 1: AI Governance as an Operating System
Day 2: Mapping the AI Lifecycle Value Stream
Day 3: Risk-Tiered Intake and Proportionate Review
Day 4: Standard Work, Decision Rights and Documentation
Day 5: Governance Metrics and Performance Evaluation
Day 6: Embedding Controls in MLOps Pipelines
Day 7: Production Monitoring and Generative AI Operations
Day 8: Incidents, Change and Supplier Operations
Day 9: Audit, Corrective Action and Continual Improvement
Day 10: Integrated Project: Redesigning the Governance Operating Model
The programme suits those who run or improve AI oversight day to day, for example:
On attending all ten days and completing the mapping workshops, simulations and final operating model project, participants receive a CPD-accredited Certificate of Completion issued by Vision Reach Global Consultancy.
It documents professional training. Certification of an AI management system against ISO/IEC 42001 is a separate process, carried out for organisations by certification bodies.
Upcoming cohorts
CPD-Accredited
Official invoice & confirmation letter provided
Team discount for 3+ seats
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Everything you need to know about this course before you register.
By the end of the Operational Excellence in AI Governance, Responsible AI & ISO 42001 programme, you'll be able to map the end-to-end ai governance value stream and identify delays, rework and duplicated reviews, design risk-tiered intake and triage so that review effort matches the impact of each ai system, standardise governance procedures, templates and decision rights using raci charts and controlled documentation, and define kpis, key risk indicators and ai objectives that meet the performance evaluation requirements of iso/iec 42001. The full breakdown of topics is covered session by session in the Course Outline tab above.
The programme suits those who run or improve AI oversight day to day, for example: Heads of AI governance and responsible AI programme managers, Model risk and operational risk managers, MLOps, platform and machine learning engineers, Chief data officers and data governance managers, Compliance and data protection leads who sign off AI use cases, Lean and Six Sigma practitioners supporting technology functions, ISO management system and quality managers, Internal and IT auditors planning AI assurance work, and Shared services and digital delivery managers in government agencies and development organisations.
Operational Excellence in AI Governance, Responsible AI & ISO 42001 Training Course typically runs as 10 Days. It's available as in-person classroom, live virtual, and in-house corporate training — every course can also be delivered on-site for your team on dates that suit you.
Operational Excellence in AI Governance, Responsible AI & ISO 42001 Training Course is scheduled in-classroom in Nairobi, Kenya, Mombasa, Kenya, Naivasha, Kenya, and Kisumu, Kenya, and 14 other locations, plus a live interactive virtual classroom you can join from anywhere. Check the schedule panel above for exact upcoming dates and fees in each location.
The next live virtual cohort of Operational Excellence in AI Governance, Responsible AI & ISO 42001 starts November 2, 2026, with new classroom cohorts also running on a rolling basis. Pick a date and location in the schedule panel above, then click "Register for the Course" — it takes a few minutes and your seat is confirmed once payment or a signed purchase order is received.
Yes — delegates who meet the attendance requirement receive a Certificate of Completion for Operational Excellence in AI Governance, Responsible AI & ISO 42001 Training Course from Vision Reach Global Consultancy, issued in the name you register with, so double-check the spelling at checkout.
Operational Excellence in AI Governance, Responsible AI & ISO 42001 Training Course is pitched at advanced professionals. If you're unsure whether it's the right fit for your current role or background, message our training advisors before you register and they'll help you confirm.
Fees for Operational Excellence in AI Governance, Responsible AI & ISO 42001 Training Course vary by delivery location and format and are shown in real time in the schedule panel above once you pick a date. Register 3 or more delegates on the same course together and a 5% team discount is applied automatically — larger cohorts can request a custom corporate quote.
Yes — Operational Excellence in AI Governance, Responsible AI & ISO 42001 Training Course can be delivered on-site at your offices (or virtually for distributed teams), with case studies and examples tailored to your industry and the specific challenges your team is working through. Switch to the "In-House" tab in the schedule panel above to request a proposal.
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