Built for bid and proposal teams
First-pass tender drafts, grounded in your own evidence.
Drafts PQQ, ITT and tender responses from your historic projects, compliance records and win strategies. Each draft links back to its source, so reviewers can check it against the record.
What it does
A structured first draft you can edit and approve.
Built from your own evidence library. You stay in control of every word that goes out.
Who it is for
- Bid teams under deadline pressure.
- Technical reviewers who check responses against the record.
- BD and sales teams who need a consistent standard.
What it reads
- Historic tender responses and project descriptions.
- Compliance and HSE statements you already use.
- Client and opportunity metadata: sector, region, scope.
What you get
- Draft responses that match your positioning.
- Gaps flagged where new input is needed.
- A consistent baseline across bids and frameworks.
Why it matters
- Reduce the time and cost of first-pass tendering.
- Less overtime and senior intervention in bid writing.
- A consistent standard across submissions.
What faster first drafts are projected to save.
Projected from the current deployment, with validation in progress.
14 → 2
days for a bid response cycle
~2,580
tendering hours saved per year
~£127k
projected annual cost reduction in the bid function
How it works
Retrieve, draft, review.
Step 1
Retrieve
Pulls relevant past answers, project descriptions and compliance statements from your own library.
Step 2
Draft
Generates a structured first response, with each claim linked back to the source it came from.
Step 3
Review
Flags the gaps that need new input. You edit and approve before anything goes to the client.
Live with an engineering and project services firm.
The Tender Response Assistant is in production with a multi-disciplinary engineering and project services firm. The client is named under NDA; a reference is available on request.
Your bid library stays in your environment. Outputs are human-reviewed, and your documents are never used to train shared models. See our security approach.
Let's talk
We help energy and renewables teams produce structured, traceable output for document-heavy work. Share your use case and we'll outline if and how we can help.