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The approach

Embed AI agents around the work. Keep people on the decisions.

I start with how your team bids for work or awards it today. AI agents take on the repeatable gathering, checking and comparing. Named people retain strategy, judgement, relationships and every commitment.

Experience from bp, RWE and Bouygues.

What changes

The aim is not more individual prompting. It is a reliable practice the whole team can use.

01

A complete view

Requirements or returns in one place.

02

Clear ownership

Who owns what, before the final week.

03

Traceable evidence

Claims and scores link back to the source.

04

Proof before scale

Real or recent work first.

Two sides of the table

Win work

Build the compliance and response view early, so the final week goes on strategy, price and risk.

People keep: Go / No-Go, strategy and submission.

Buy well

Compare supplier returns like for like, so the award holds when the board asks why.

People keep: scoring, clarifications and the award.

One governed way of working

Trusted sources. Bounded agent work. Shared rules. Named people on every commitment. The system is built around your approved environment and folders, not scattered across private chatbot conversations.

Audit. Pilot. Embed.

  1. 01

    Discovery

    Audit the current bid or procurement operation and define how the practice needs to evolve.

  2. 02

    Pilot

    Build and test the priority change on real or recent work.

  3. 03

    Adoption

    Establish a shared system that the team can run, challenge and improve.

How does your practice need to evolve?

Start with a free, no-obligation conversation about the current bid or procurement operation.