A Practical Workshop for Senior Leaders Who Want Frameworks, Not Theory
Tuesday 10 February 2026 | London | 09:00-12:30
I sat in on a board meeting last month where the agenda item was straightforward: approve an AI proposal for customer service automation. The finance director had done her homework. The business case was solid. The risks were documented.
Six months earlier, this same proposal had been on the agenda. And six months before that.
The board wasn’t incompetent. They weren’t technophobic. They were stuck in a pattern I see repeatedly: endless debate about whether they’re making the right choice, whether they’ve considered all the risks, whether there might be better opportunities they’re missing.
Meanwhile, their main competitor had implemented three AI use cases in the same period. Not because they were braver or had better technology, but because they had something this board lacked: frameworks for making confident decisions despite uncertainty.
The Real Barrier Isn’t What You Think
When boards struggle with AI implementation, they typically assume the problem is technical understanding. So they bring in consultants to explain machine learning. They send teams to conferences. They commission strategy documents.
But I’ve worked with enough boards now to know the real barrier isn’t understanding how AI works. It’s having systematic ways to answer the questions that actually matter:
- Which opportunities should we pursue?
- How do we evaluate proposals objectively?
- What governance enables implementation rather than blocking it?
The organisations that move fast on AI aren’t the ones with the deepest technical expertise. They’re the ones with frameworks that turn subjective debates into objective decisions.
Last year I worked with a professional services firm whose board was paralysed by exactly this problem. Every AI proposal generated the same circular discussion. The CEO would ask: “Is this the best use case for us to start with?” The technology director couldn’t answer that without knowing what “best” meant. The risk director wanted to know how they’d govern it. The operations director worried they were missing bigger opportunities.
All valid concerns. But without frameworks to address them systematically, these concerns just recycled endlessly.
After implementing the five frameworks I teach, that same board approved their first two AI projects within four weeks. Not because they became AI experts, but because they could finally answer their own questions with confidence.
What Makes a Framework Different From a Strategy Document
Strategy documents tell you that AI matters and you should do something about it. Frameworks show you exactly how to figure out what to do and how to decide if it’s the right thing.
Consider the challenge of identifying AI opportunities. Most organisations approach this haphazardly. Someone reads an article about AI in customer service and suggests they should try that. Someone else hears about a competitor using AI for fraud detection and proposes the same. The proposals accumulate randomly, driven by what people happen to read or hear about rather than any systematic assessment of where AI could create value.
The AI Use Case Scout framework changes this completely. When you work through it systematically, you discover opportunities in categories you weren’t even considering.
I watched this happen with a business last quarter. They came to me wanting help with a very obvious AI use case that they’d heard about their competitors using. When we worked through the Use Case Scout together, they realised their biggest opportunity wasn’t the same as their competitor’s, it was a different area where their costs were high and could be significantly reduced. They’d never considered this category because nobody happened to mention it in the articles they’d been reading.
That’s what frameworks do. They ensure you’re evaluating all the options systematically rather than just reacting to whatever crosses your desk.
The Five Frameworks That Move Boards From Debate to Decision
In this workshop, you’ll learn five frameworks that work together as a system. They’re not separate tools you pick and choose from. They’re sequential stages that take you from “we should probably do something with AI” to “here’s exactly what we’re implementing and why.”
The journey starts with the AI Use Case Scout, which I’ve already described. Once you’ve identified opportunities systematically, you need a way to evaluate each one objectively. That’s what the AI Ideation Canvas provides. Instead of subjective debate about whether something “sounds good,” you assess feasibility, impact and implementation complexity using consistent criteria.
I’ve reviewed hundreds of AI proposals over the past few years. The weak ones share a common characteristic: they’re vague. “We should use AI to improve customer service” tells you nothing about what problem you’re solving, how you’ll measure success, or what could go wrong. The strong proposals are specific about all of these things. The AI Ideation Canvas forces that specificity from the start.
But evaluating proposals individually isn’t enough. You need to prioritise across all of them, and that’s where most organisations struggle. They end up prioritising based on who shouts loudest or which project was proposed first or which executive champion is most persuasive. The Problem/Solution Matrix gives you an objective way to prioritise based on problem severity and solution readiness. It ensures you’re solving actual business problems rather than falling in love with interesting technology.
Then comes governance, which is where many AI initiatives die. Organisations create governance frameworks that are either so rigid they block everything or so loose they manage nothing. The Responsible AI Framework provides a middle path: clear decision rights at each stage, systematic approaches to ethics and bias and transparency, but governance that enables speed rather than preventing it.
Finally, the 8 Stages of Good AI Governance shows you the maturity journey. Most organisations skip the foundation stages – clear principles, risk taxonomy, decision rights – and jump straight to trying to create assessment processes. Then they wonder why their governance doesn’t work. Understanding which stage you’re at and what to build next makes the difference between governance that compounds over time and governance that stays stuck.
By the end of the session, you won’t just understand these frameworks theoretically. You’ll have applied them to real challenges and created outputs you can take back to your board. This is what I mean by practical frameworks. Not concepts you need to figure out how to apply later, but tools you use immediately.
Who This Workshop Is For
This workshop is designed for senior leaders who make or influence AI investment decisions. That includes C-suite executives, board members, operations directors, strategy directors and transformation leaders.
What unites everyone who should attend isn’t their job title but their challenge: they’re responsible for AI strategy or implementation or governance, and they’re finding that good intentions and general enthusiasm aren’t enough. They need systematic ways to identify opportunities, evaluate proposals, prioritise investments and govern implementation.
If that sounds like you, this workshop will give you exactly what you need.
The group is intentionally small – just twelve participants – because this isn’t a lecture hall exercise. You’ll work on your actual challenges, and I’ll provide individual attention to ensure you leave with frameworks you can apply immediately.
What You’ll Take Away
On the day, you’ll receive printed copies of all five frameworks plus digital versions you can share with colleagues. You’ll have access to interactive learning resources that reinforce what you’ve learned, including exercises you can use with your own teams.
More importantly, you’ll leave with clarity. Clarity about which AI opportunities matter most for your organisation. Clarity about how to evaluate proposals objectively. Clarity about how to govern AI in ways that enable rather than block implementation.
That clarity is worth far more than the frameworks themselves. Because once you can think systematically about AI decisions, you stop being paralysed by uncertainty. You start making confident choices and building competitive advantage.
A Final Thought on Timing
Every month I don’t run this workshop, I hear from another board that’s stuck in the pattern I described at the beginning. Endless debates. Good proposals dying in risk assessment. Pilots that never become implementations. Competitors moving faster.
The organisations that gain competitive advantage from AI aren’t the ones that wait for perfect clarity. They’re the ones that have frameworks to make confident decisions despite uncertainty.
If your board is stuck debating, if you’re piloting everything and implementing nothing, if proposals keep recycling through the same conversations – you don’t need more strategy documents. You need frameworks.
I’m running this workshop on Tuesday 10 February in London with just 12 places. Join me, and let’s move your organisation from AI paralysis to AI action.
Questions?
Email: sue.turner@aigovernance.co.uk
Phone: 07858 908046
