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Public procurement

Tender monitoring and response

Catch relevant notices on BOAMP and TED, qualify them with frontier language models, and assemble the response pack.

Weekly monitoring
6 h → 20 minWeekly monitoring
Qualified opportunities
3xQualified opportunities
Alert on publication
Same dayAlert on publication

Context

A construction SME checked BOAMP by hand, twice a week. Good opportunities surfaced late, go/no-go was a gut call, and the technical proposal was always written against the clock.

Workflow

  1. 01

    Collect

    The open BOAMP and TED APIs are polled twice a day. Notices land normalised in one database.

  2. 02

    Filter

    Sorted by CPV code, region and estimated value. Noise is gone before anyone reads a line.

  3. 03

    Qualify

    A long-context frontier model reads the RC and CCTP end to end, pulls out the requirements, and scores the notice against past wins.

  4. 04

    Go / No-Go

    A summary hits Slack with the deadline, the required documents and the score. The call stays human.

  5. 05

    Assemble

    The standing document pack is assembled, certificates are checked for expiry, and the model drafts a first technical proposal grounded in the CCTP.

Stack

  • BOAMP API
  • TED
  • n8n
  • Claude Opus
  • GPT-5
  • Postgres
  • Slack