AI applications
AI agent 05 · Procurement, legal, contracting

Intelligent document reader

Reads the tender and the PDF proposals, checks every requirement with the verbatim quote as evidence, flags risky clauses, and recommends who to award.

Client: Cumbre Alimentos · fictitious, simulated data
3
proposals compared
24
requirements checked
3
risks flagged
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Intelligent document reader

The problem

Comparing proposals against a tender takes days of reading, and it is easy to miss an auto-renewal clause or an unfavorable liability cap.

What it delivers

  • Compliance matrix with evidence
  • Risky clauses flagged
  • Score per proposal
  • Award recommendation (CSV)

Agent tools

listar_documentosleer_documentoconsultar_requisitosregistrar_hallazgocalcular_puntajesexportar_matriz

Each tool is a real Python function the agent chooses to call. Every call is shown on screen, so the process can be audited.

How it works

Not a chat that only replies: it works in a loop, picks the right tool, checks what it gets, and delivers.

  1. 1Lists the documents: tender and proposals.
  2. 2Reads every PDF in full.
  3. 3Looks up the tender requirements.
  4. 4Records whether each requirement is met, with the verbatim quote as evidence.
  5. 5Flags risky clauses (auto-renewal, liability caps, low penalties).
  6. 6Computes scores and exports the matrix with a recommendation.

The agent in action

Real screenshots of the app. Click to enlarge.

Built with Anthropic Claude. Runs on your infrastructure, with a demo mode and a live reasoning mode.

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