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AI for procurement

AI agents

AI agents for procurement

Explained simply, and what each one changes as your maturity grows.

The augmented buyer

An agent doesn't replace the buyer. It augments one.

The repetitive load shifts to the agent. Your judgment, your relationships and your negotiations go where they create value. You stay accountable, the agent does the legwork.

Read the augmented buyer

What is an agent?

An agent is AI given a clear job, your context, and guardrails, so it can carry out a repetitive procurement task end to end, with you in control of the decisions that matter.

Why it matters

  • Limit the black-box effect: you see how each decision is reached.
  • Standardise the process, so quality no longer depends on who runs it.
  • Make it repeatable: the same rigour, every time, at lower effort.

Any model, your choice

I work mostly with Claude by Anthropic, but the agent can run on ChatGPT (OpenAI), Gemini (Google), or Mistral, and on others like Kimi, DeepSeek or open-source models on demand.

ClaudeChatGPTGeminiMistralKimiDeepSeekOpen-source

How we work

No risk

Integrated into your environment, secured under a DPA, and hosted where you prefer. Your data stays yours.

A real business case

For every agent we build it together: gains, costs, a clear ROI. A real one, not a shiny demo. Leaders who do this well report 3.2× ROI vs 1.5× for followers (Deloitte CPO Survey, 2025).

Any platform, or from scratch

Built on whichever agent platform you already use, or coded from scratch when that fits better.

A1

RFP writing

Turn RFP prep from weeks to days, without cutting corners.

Benefits by AI maturity

1Assisted

A first structured draft in minutes; you refine and send.

2Augmented

Tailored to your past RFPs and category, so there is far less to edit.

3Autonomous

Drafted and dispatched on a cadence; you just approve the gates.

From the field

42%of procurement execs already use GenAI for RFP/RFQ, a top-3 use caseBCG, 2025
−58%requisition-to-PO cycle time at digital world-class teamsThe Hackett Group, 2025

A2

Offer comparison

Compare offers in minutes, on your terms, not the supplier’s format.

Benefits by AI maturity

1Assisted

Every offer lined up on one grid; you spot the gaps.

2Augmented

Scored against your own guidelines, with outliers flagged.

3Autonomous

A ranked shortlist the moment offers land.

From the field

−30%supplier-selection time with AI-driven analyticsMcKinsey, 2025
53%of execs use GenAI for spend analytics, the #1 use caseBCG, 2025

A3

Supplier assessment

Know your suppliers before they surprise you.

Benefits by AI maturity

1Assisted

A first risk read from the data you already hold.

2Augmented

Enriched continuously from your contracts, news and performance.

3Autonomous

Live scores that ping you the moment risk shifts.

From the field

56%of European leaders expect AI’s strongest impact in source-to-contractRoland Berger, 2024
~1/3of organisations use e-sourcing tools today, the rest is upsideMcKinsey, 2025

A4

Should-cost analysis

Know what it should cost before you sit down to negotiate. Start from templated cost buckets, or define your own (name + description) for the model to fill.

Benefits by AI maturity

1Assisted

A first breakdown from templated cost buckets.

2Augmented

Your own buckets and benchmarks sharpen every target.

3Autonomous

Targets refreshed as prices move, ready for the table.

From the field

−13%raw-materials spend from a COE-led should-cost modelMcKinsey, 2025
~20%savings potential unlocked by spend analyticsMcKinsey, 2025

Any part of the process, or all of it.

If you already know where you want to look, we go straight there. If not, we look at it globally and find where AI pays off first.

Book a 30-min call

I won't hand you a generic agent to download. The real value comes from building it together, on your data and your process.

Build it together: the AI Workshop + Audit