Approach
How we think about procurement's next decade
Most teams we meet are wrestling with the same things: fragmented technology that doesn't join up, data they can't trust, and business users and procurement teams frustrated by how hard it is to get anything done. We start by naming those problems honestly, then design the operating model and the path to fix them.
The shift we're designing for
Three changes are reshaping how organisations spend.
From service to centre
Procurement has been handed responsibility without the means to carry it. AI changes that.
- Risk, compliance, security and legal all shape how money is spent, but sit in silos.
- AI and orchestration let procurement connect them, and govern them as one.
- A more central, more strategic role than the function has held before.
From generic to specific
Blunt, one-size policy is finished.
- A single threshold treats a high-risk AI tool and a safe renewal the same.
- Governance can now flex to the category, the transaction and the real risk.
- It stays dynamic, rather than waiting for the annual review.
From doing to orchestrating
The work itself changes.
- Write governance so systems can execute it, and let agents handle the routine.
- Teams move from running transactions to designing how the whole engine behaves.
- People focus on judgement, creativity and relationships.
Greenfield or brownfield
Two starting points, one destination
Greenfield
Building a function, or restructuring fully. We design the operating model and technology architecture the right way from the outset, so you don't inherit the constraints others are trying to escape.
Brownfield
Years of investment already in place. We find where new spend on AI, orchestration or restructuring delivers the most, and close the gap between the tools you've bought and the value you were promised.
The C.O.D.E. method
Our work follows four stages. They give an engagement structure without forcing every organisation down the same path.
Context
We map how procurement operates today: the operating model, the technology stack, the data, and honest feedback from the people who use it.
Opportunities
We find where AI, automation and orchestration deliver the most value, then prioritise by impact and feasibility.
Design
We architect the target operating model, the dynamic workflows and the technology roadmap to get there.
Execution
We prototype, embed the changes and build the capability so they hold, not just launch.