Why take this course on Building a Playbook for Implementing AI?
This intensive workshop allows leaders and managers to create a personalised ‘AI Implementation Playbook’, offering a structured and repeatable process for managing AI initiatives. Moving beyond theory, you'll build a practical playbook covering four critical steps required for every AI project: defining practical aims aligned with business value ; securing essential enablers (technology, people, and change readiness) ; designing an approach that escapes 'pilot purgatory' ; and applying governance for risk management and value realisation. You will leave with a draft playbook ready to deploy immediately within your management team.
Who is it for?
Senior leaders and managers curious about AI and how to use it such as:
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CEO's
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Board Members (e.g. Chair, Non-Executive Directors)
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High level decision makers
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Members of Senior leadership teams
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Company directors
We also have a dedicated leadership courses for Understanding AI for Business Leaders and A Strategic Approach to AI Maturity.
Course Content
An intensive workshop to enable leaders and managers to create their personalised ‘AI Implementation Playbook’, offering a structured and repeatable process for managing AI initiatives. This course will guide you through a series of playbook-building steps:
• Step #1. Aims – How do you want to generate value from AI? This step offers an overview of the most common drivers of value from AI and an introduction to the “where to play, how to win’ framework.
• Step #2. Enablers – Exploring three key enablers of AI adoption. 1. The obvious scary one – technology and data. 2. The more subtle but more powerful one – people and process. 3. The un-noticed but critical one – change readiness.
• Step #3. Approach – Avoiding ‘pilot purgatory’. This step demonstrates how to anchor AI initiatives around four key elements of a business case: the strategic case, the economic case, the commercial case, the management case.
• Step #4. Governance – Introducing the idea of ‘executive’ and ‘participative’ governance alongside three governance essentials: 1. Goals; 2. Surveillance and reporting; 2. Risk management (technical, ethical and regulatory).
Course Formats
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Open Course
A public, open course (either online or in London), offering a great opportunity for leaders to mix with their peers and discuss AI on a learning journey that does not involve commercially confidential data.
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Private Course
This course can be provided on a one-to-one basis or for an in-house team (either online or in person at your offices), using your own in-house case studies and material.
What to bring
Please make sure you will be able to attend the course with the following things:
Virtual Classroom Courses
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You will need a computer / laptop
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A webcam (Cameras must be on for training sessions)
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Notepad and pen
Classroom Courses
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You will need a laptop or tablet
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Notepad and pen
To save time on the day please try and sign up to ChatGPT and Google Gemini before attending the course. We will supply a paid account on request but you may wish to use your own to save the work you have done on the course.