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Architecture & construction

Tender analysis cut from three days to an afternoon

A document pipeline that reads public-sector tenders, extracts requirements into a structured checklist, flags risky clauses and drafts the standard sections.

Industry
Architecture & construction
Systems integrated
Document management · Office 365 · internal bid database
Engagement
AI Readiness Audit, then Production Integration
Outcome
More bids evaluated per quarter with the same team

Why does a 300-page tender take three days to assess?

Public tenders arrive as 150 to 300 pages of PDF with the decisive constraints scattered through the annexes. A senior architect spent two to three days per tender deciding whether to bid at all — which meant the firm passed on tenders it might have won, simply because the reading capacity was already booked.

How does extraction pull requirements out of a tender?

We built an extraction pipeline that pulls deadlines, eligibility criteria, required certificates, penalty clauses and evaluation weightings into a structured checklist, each field linked to the page it came from. A second pass compares the terms against the firm's own red-line playbook and flags what a bid manager needs to read personally.

Where do the extracted requirements land?

Tenders are dropped into the existing document management folder and the structured result appears in the internal bid database. Draft response sections are generated in the firm's own Word templates, so the bid team edits where they always have.

Who approves a bid or no-bid recommendation?

No decision is automated: the pipeline produces a recommendation and a reviewer decides. Extraction accuracy is measured per field against a labelled set of past tenders, and any field below threshold is shown as unverified rather than silently filled in.

What changed for the bid team?

The bid/no-bid decision now happens in an afternoon instead of across three days, so the firm evaluates more tenders per quarter without adding people. The pipeline pulls deadlines, eligibility criteria, required certificates, penalty clauses and evaluation weightings out of 150 to 300 pages of PDF and into a structured checklist, with every field linked to the page it came from. A second pass compares the terms against the firm's own red-line playbook and flags what a bid manager needs to read personally. The page-level citations turned out to matter more than the extraction: reviewers trust a field they can verify in two clicks, and a field below the accuracy threshold is shown as unverified instead of being silently filled in. No decision is automated. That combination is what the document intelligence service is built around, and the same insistence on visible sources runs through the service-desk assistant.