Diagnose
Explore current AI activity, capability, attitudes, opportunities and constraints.
Our approach
Start with the organisation.
Not the technology.
Successful AI transformation depends on aligning culture, strategy and technology around outcomes that matter. That’s why we work in that order.
The principle
Technology is part of the answer. It isn’t the starting point.
Culture
→
Strategy
→
Technology
→
Measurable Impact
First, understand what your organisation can successfully change. Then identify where AI can support your strategy. Only then determine the technology needed to make it happen.
And define what success looks like before implementation begins.
Five stages
One flexible approach.
Build Capability
Build shared knowledge and practical capability while listening to concerns and surfacing ideas.
Align & Prioritise
Connect opportunities to business strategy, prioritise use cases and agree how success will be measured.
Implement
Define and implement the right workflows and technology, bringing in specialist expertise where required.
Embed & Evolve
Measure impact, monitor adoption, develop capability and adapt as opportunities evolve.
Start where you are
The five stages are a framework, not a funnel.
The Diagnostic is our usual starting point. It isn’t a compulsory gateway.
If you already have the capability you need, stages can be combined, accelerated or skipped.
We recommend what makes sense for your organisation.
TUMBLER
Keeping implementation balanced.
AI transformation doesn’t happen in a straight line.
TUMBLER is our project-management approach for maintaining alignment between technical, organisational and strategic factors throughout implementation.
It provides coordination, oversight, measurement and feedback while allowing the programme to adapt as tools, competencies and opportunities evolve.
The objective isn’t simply to keep a project to plan. It’s to keep it focused on creating value.
Measurement
Define the impact. Implement. Measure. Learn. Adapt.
Success might mean saving time, improving quality, reducing risk, developing capability, improving client or employee experience, or achieving another strategic outcome.
Where should your AI transformation start?
You don’t need to know the answer.
That’s part of the conversation.