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AI ambition often moves faster than the operating model needed to support it. Across many organisations, AI decisions, tools and experiments are emerging through business units, data teams, transformation programs, external partners and vendors, while CIOs are still expected to secure, govern and help deliver the outcomes.
For CIOs and IT leaders, an AI operating model is a tangible way to take effective control. Not by slowing everything down or centralising every decision, but by clarifying how AI opportunities are assessed, who owns decisions, what guardrails apply, how platforms and tools are selected, and how initiatives move from experimentation to responsible delivery.
Without an operating model, AI can become fragmented. Different teams may use different tools, apply different risk standards, duplicate effort, create data or security exposure, or move ahead without a clear view of enterprise value, accountability or supportability.
This one-day course helps CIOs, IT leaders and digital leaders draft a practical AI operating model. You will explore decision rights, governance forums, roles, delivery pathways, risk controls, standards and enabling capabilities, and leave with a clear view of how AI should be governed and executed responsibly across the organisation.
Need this course for your team?
Run it as an In-house Team Delivery session – private, practical, and delivered in your context.
In this one-day course, you will:
- Understand why AI needs an operating model, not just policies, pilots or enthusiasm.
- Identify where AI decision-making, ownership and accountability are currently unclear.
- Clarify the roles of IT, data and AI teams, business units, risk, legal, security, architecture and delivery teams.
- Define decision rights and governance pathways for AI opportunities, tools, platforms and use cases.
- Design practical guardrails that support responsible experimentation without stopping momentum.
- Map how AI initiatives move from idea to assessment, approval, delivery, adoption and monitoring.
- Draft an initial AI operating model canvas and 90-day implementation plan.
Who it’s for:
- CIOs, Heads of IT, and IT leadership teams who need to take more effective control of how AI is governed, supported and delivered.
- Digital, data, architecture, governance and transformation leaders helping shape AI delivery models, decision pathways and enabling capabilities.
- Enterprise architecture and platform leaders defining standards, guardrails, integration choices and supportable AI platforms.
- Risk, security, privacy and governance leaders who need clearer ways to assess and manage AI-related decisions and controls.
- Business-facing IT leaders who need to help stakeholders move from AI experimentation to responsible, scalable delivery.
What you will leave with:
- A starter AI operating model canvas showing the key roles, decisions, governance mechanisms and delivery pathways needed for responsible AI.
- A decision rights and accountability map showing what should be centralised, federated, delegated or escalated.
- An AI governance and intake pathway for assessing opportunities, tools, platforms, risks and use cases.
- A practical guardrails checklist for responsible AI experimentation, adoption and delivery.
- A 90-day implementation plan for refining and putting the AI operating model into practice.
How the course works:
Live, instructor-led and built around realistic CIO and IT leadership scenarios. You will use practical frameworks, discussion exercises and templates to clarify AI decision rights, map roles and responsibilities, design governance pathways, and define how AI initiatives should move from experimentation to responsible delivery.
This is not a course about creating bureaucracy. It is about giving CIOs and IT leaders practical control mechanisms so AI can move faster with clearer accountability, stronger governance and less fragmentation.
Included:
- Templates, canvases and checklists
- Participant workbook and course materials
- Certificate of completion and LinkedIn badge
Course details:
- Duration: 1 day
- Delivery: Live online (instructor-led). In-house delivery available on request.
- Format: Interactive, scenario-based, hands-on
Curriculum
- 1 Section
- 0 Lessons
- 1 Day
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- Course Modules:
- Why AI needs an operating model, not just policies, pilots or enthusiasm
- From experimentation to control, clarifying ownership of AI decisions and activity
- AI decision rights, what to centralise, federate, delegate or escalate
- Roles and responsibilities, clarifying who leads, enables, governs and supports AI
- Governance pathways and guardrails, enabling responsible AI without unnecessary friction
- Moving from idea to adoption, how AI initiatives progress through assessment, delivery and monitoring
- 90-day implementation plan, refining and putting the AI operating model into practice
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Live, instructor-led online (not self-paced) with guided sessions and interactive exercises.
Workshop-style with structured activities, discussion, and hands-on exercises.
Classes are intentionally small to maximise interaction, Q&A, and application to your context.
Clearer priorities and trade-offs, stronger stakeholder alignment, and practical artefacts you can use immediately.
Yes - the methods are industry-agnostic by design, and you’ll apply them using examples and scenarios relevant to your organisation.
Yes - select a date, then click Request invoice / PO.
Yes - click Enquire about in-house delivery.