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Public tendersReference scenario

Prepare a tender response in half the time

An agent analyses the tender documents, finds your best past answers and drafts the technical proposal. Your team reviews, adjusts and signs.

SME winning public contracts

Context

A services SME regularly wins public contracts (hospitals, local authorities). Each bid takes the bid manager several days: reading the rules, digging up old answers, writing, reviewing. Short on time, the company passes on contracts it could win.

Before

  • Several days of writing per bid
  • Past answers scattered across shared folders
  • Tenders dropped for lack of time
  • Deadlines tracked in a spreadsheet

With the agent

  • Requirements and scoring criteria extracted in minutes
  • A knowledge base built on your winning answers
  • A first draft of the proposal ready to review
  • Deadlines added to the calendar automatically

The system

Triggers

Tender documents
Past responses
References and certificates

AI agent

  1. Reads the rules and specifications
  2. Lists requirements, scoring and documents
  3. Finds relevant passages in your answers
  4. Drafts the proposal section by section

You approve

The bid manager reviews

They adjust the content, set the price and sign. The agent never submits anything on its own.

Actions

Pre-filled technical proposal
Document checklist
Deadlines in the calendar

Target gains

Typical goals for this kind of system, to be confirmed during the audit.

time to prepare a bid
÷2
time to prepare a bid
tenders reviewed each month
×2
tenders reviewed each month
missed deadlines
0
missed deadlines

Tools used

  • Claude
  • n8n
  • Google Drive
  • Notion
  • Google Calendar

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