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AI Case Study. Procurement Checks

A price book built from the client's own contracts.

Benchmark rates for services and equipment hire, extracted from the client's contract history, so quotes can be judged against what was actually agreed.

Client
Multi-site mining operator
Sector
Mining
Source
The client's own contracts
Engagement
Ongoing
10x
Pricing error caught
Every
Benchmark traceable
Two
Checkers in place
Zero
Unverified numbers narrated
01
The situation

The problem

Quotes arrived with no reference point. Nobody could quickly say whether a rate was in line with existing contracts.

The answer existed. It was sitting in signed documents across the contract folders, too slow to reach while a quote was on the table.

02
The system

What we built

A price book generated by scanning the client's contract folders. Benchmark rates for services and equipment hire, with every benchmark carrying its source contract and its date.

On top of the book sit two checkers. A quote checker that flags quotes above contracted history. And a purchase order versus quote checker that matches orders to their quote attachments by code.

03
The mechanics

How it works

04
The evidence

Results and proof

In testing, the purchase order checker caught a tenfold pricing error before it would have reached payment. The order was matched to its quote attachment by code, and the gap was flagged.

What changed

“Is this quote reasonable” gets an answer with the contract behind it.

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Challenge? Let's Talk.

Quotes with no reference point? We build price books and checkers from the documents you already hold.