Process discovery and workflow mapping
Understand what happens now, including the manual steps, workarounds and handovers. Talk to the people doing the work before deciding what should change.
AI in Strategy
Stop collecting AI tools. Start with the business problem.
AI strategy begins with what your organisation is trying to achieve. Look at how the business operates and identify where AI, automation or better processes could make a meaningful difference.
THE CHALLENGE
A collection of experiments isn’t a strategy.
One team is testing a writing tool. Another is automating a handover. Someone else has built an assistant. Each experiment may be useful, but without a shared direction it is easy to duplicate effort, introduce new risks or spend time on work that does not matter. Strategy connects these ideas to the business priorities.
WHO IT’S FOR
For growing businesses that want to move beyond fragmented experimentation, understand which opportunities deserve attention and build a realistic plan their people can use.
WHAT WE LOOK AT
Practical work. Clear priorities.
Opportunity assessment
Compare possible improvements by their likely benefit, effort, information needs and consequences of failure. Separate worthwhile opportunities from ideas that are interesting but not useful enough.
Business-specific AI strategy
Connect the opportunities to your priorities, capacity and existing systems. Set a direction that considers governance and adoption as well as the technology.
Implementation planning
Define a manageable starting point, success measures, responsibilities and review points. Include workflow redesign, automation or custom assistants only where they fit the problem.
Team adoption and practical training
Help people understand when to use AI, how to check its work and where human judgement remains essential. Training should connect to real tasks, with room for questions and troubleshooting.
Longer-term planning
Review what worked, what did not and what the business needs next. A useful strategy can change as your operations, tools and priorities develop.
“We don’t start with the technology.
We start with the problem.”
HOW AN ENGAGEMENT COULD WORK
A manageable way forward.
Understand the priorities
Agree the business problems, speak to the team and map the workflows that matter.
Choose the opportunities
Assess the practical options, dependencies and risks. Decide what to pursue, postpone or leave alone.
Plan and test
Create a staged plan, support a focused pilot and review the outcome before expanding.
WHAT YOU CAN WORK TOWARDS
A useful outcome for the business.
We agree the scope and intended outcomes together. What changes depends on your starting point and the work you choose to take forward.
- A prioritised view of where AI could help
- Less disconnected experimentation and duplicated effort
- A practical implementation plan with clear ownership
- A team that understands the purpose and limits of the tools
QUESTIONS, ANSWERED
A little more clarity.
Do we need to know which AI tools we want?
No. We start with the work and the outcome you want. The right answer might be a tool you already have, a simpler automation or a better process.
Can you help when teams are already experimenting?
Yes. Existing experiments are useful evidence. We look at what people have learnt, which needs keep coming up and where a more consistent approach would help.
Is training part of the strategy?
It can be. Training is most useful when people understand the agreed ways of working and can practise on relevant tasks. We can include adoption support in the scope rather than treating training as an isolated event.
What if the best answer is not AI?
Then that is the recommendation. The aim is a useful improvement to the business, not an AI project for its own sake.
A SENSIBLE NEXT STEP
Let’s talk about your business.
Start with the problem you are experiencing. We can work out what kind of help would be useful.