Start with the workflow. Prove the value. Then build.
There is a big difference between AI being able to read something and your team being able to rely on it.
That gap is what really matters.
Whether we’re looking at contracts, tenders, defects, approvals or other judgement-heavy work, the challenge is rarely getting AI to produce an answer. The harder question is how AI fits into the way your people already make decisions – including what it can handle, what needs review and what should always remain with a person.
That’s why we start with Discovery & Design.
A safer first step.
Rather than jumping into integrations, automation or a business-wide AI project, we start with one real workflow and work out where AI can genuinely help.
Discovery & Design is a focused, fixed-investment engagement designed to make the workflow, judgement and boundaries visible before anything substantial is built. If you choose to progress to the ‘Controlled Prototype’ we credit the Discovery & Design investment.
map how the work happens today
identify the decisions, hand-offs and recurring friction
test the approach against a safe historical example
define what AI can assist with and what remains human-led
identify where executive, specialist or legal review is required
determine whether there is enough value to justify building further.
It’s a practical design for how the workflow could operate better.
Take contract negotiation as an example.
AI can read a contract. That’s the easy bit.
What’s more useful is helping a sales team understand:
What’s acceptable?
What’s different from our usual position?
What have we agreed previously?
What can I progress myself?
We design the workflow around those questions.
The result can be an evidence-linked negotiation brief that draws on your existing criteria, approved positions and previous examples – while leaving commercial and legal judgement where it belongs — With people.
We don’t begin by connecting AI to every system or allowing it to make decisions autonomously.
Quite the opposite.
Early stages deliberately exclude production integrations and automatic approvals. AI can find information, compare, flag exceptions, assemble evidence and prepare a recommendation.
That isn’t a limitation of the approach. It’s the point.
It gives us room to test whether the workflow is useful before adding technology, complexity and cost.
Once the workflow has been tested and the decision boundaries are clear, we can scope the smallest useful prototype.
That might help a team:
Only then do we consider broader integration or automation.
A focused engagement to understand the workflow, test a historical example and define the operating logic.
(after crediting the Discovery & Design investment)
Here’s where we build and test the smallest useful working version before considering broader implementation.
We’re looking for the places where AI can remove unnecessary effort, surface the right information and help people make faster, more consistent and better-supported decisions.
Start small. Make the judgement visible. Prove it works.
Then decide how far it’s worth taking.
