Look across workflows to identify and prioritise where AI could create the most value.
Our approach
From opportunity
to proof of value.
Start with the work. Build with the team. Prove the impact.
Augment the work. Keep the judgement.
AI should strengthen procurement capability,
not replace professional judgement.
Our methodology
WorkPatterns methodology: discover, design and build, evaluate through four parallel tests, then prove.Step 1: Discover. Step 2: Design & build. Step 3: Evaluate. Step 4: Prove.
Co-design and build practical AI-enabled workflows your team can own and improve.
Test performance across realistic scenarios, edge cases and failure conditions.
Measure the impact and decide what is worth scaling.
Discover the opportunity
We look across workflows using six lenses to surface the right places to start.
- 1Value
How much improvement could it create?
- 2Friction
Where is avoidable effort or rework?
- 3Repeatability
Does the pattern occur often?
- 4AI fit
Are current AI capabilities suited to it?
- 5Risk
What happens when the AI is wrong?
- 6Readiness
Are the data, people and platforms ready?
We prioritise, then select one workflow to take through to proof of value.
Proof of value
AI performance
Is it accurate, reliable, consistent, grounded and appropriately escalating?
Workflow impact
Did it improve efficiency, quality, capacity, cycle time or procurement reach?
The value connection
The value comes from connecting the two.
How we work
Build alongside you
Your team brings the procurement knowledge. We bring the method and technical capability.
Start with real work
Focus on workflows that matter, not generic demos.
Measure what matters
Test what changes in the work, not just what the AI can do.
Leave capability behind
Your team keeps the knowledge, assets and confidence to keep improving.