Case study · AI Implementation

Tender engine: read the RFP once, not again and again

Every team used to re-read the same long tender document for its part of the bid.

The challenge

A tender is one long document, and project, finance, legal, operations and procurement each need a different part of it. Before, every team re-read the whole thing to find its part of the bid.

How it works

Read once, used by every team

01
The tender
One long document.
02
AI
Tender engine
Reads it once and extracts the requirements.
03
Every team, one record
Project, finance, legal, operations and procurement.
04
Person
Proposal
Built by the bid team. People still decide the bid.

What the engine does

Tender checklist
Solution doc auto-fill
Client BoQ conversion
Client research & scoring

Read once, not again and again. One structured record that every team works from, and people still decide the bid.

More insights

All insights

Perspective · AI Implementation

AI is moving faster than any team can track

New uses arrive every month. Using AI yourself is easy; putting it into business processes is not.

Perspective · AI Implementation

A use case lives where technology meets business judgment

Technology alone gives a demo. Business alone gives a wish list. The real use case sits in the overlap.

Perspective · AI Implementation

Pain point first, tool last

Most AI projects start with a tool and look for a use. We start where the business leaks time, cash or control.

Tender engine: read the RFP once, not again and again

The challenge

How it works

The tender

Tender engine

Every team, one record

Proposal

What the engine does

More insights

AI is moving faster than any team can track

A use case lives where technology meets business judgment

Pain point first, tool last

Bring us one problem

Bring us
one problem