Artificial intelligence
We start from what is stuck.
AI is often chosen before the need is understood.
The result: pilots that never go all the way.
Let's talk about what is stuck for you
Find the AI use cases that pay off, put figures on them, and decide before investing.
The approach
Four steps, one funnel
- remotely Prepare The leader's strategy, the end-to-end process broken into steps, the right data.
- two days with the team Explore Everyone writes down what is stuck, then the cards bring ideas to life.
- three weeks Cost Each selected case gets its business case and return on investment.
- two hours Decide One recommendation, one roadmap, and the decision made in the room.
Cards to imagine
We never start from a blank page. Facing each friction point, the team draws from 28 cards, distilled from hundreds of real use cases.
- Predict and analyse
- Secure and control quality
- Automate and save time
- Personalise and serve the client
- Create content and converse
- Decide and steer
Cards designed by fastbreak.one, my partner.
The use case sheet
Who has the problem?
What is the problem?
Which solution?
What does it change for the company?
Four lines are enough to compare ideas with one another.
The sort
Impact
Keep
high impact, easy
Dig deeper
high impact, hard
On the shelf
low impact, easy
Rule out
low impact, hard
Ease of implementation
When two people place an idea in different spots, we stop and talk about it. That is often where the information hides.
One example, in figures
51
friction points logged in one day
13
use cases described by the team
5
selected for costing
2
hours to decide what comes next
The costing changed five choices made in the workshop. And according to that costing, the two fastest-payback actions did not need AI.
What you receive
- The portfolio of your use cases
- One sheet per selected case
- One business case per case, three scenarios, the source of every assumption
- A roadmap in waves
- Recommendations for the ruled-out cases too
My rules
The process first, AI second.
The agent prepares, the human validates.
At most two agents under construction, one measured pilot before the next.
AI successes are won in adoption.
AI speeds up a process that works. It does not fix a process that is derailing.
Let's talk about what is stuck for you