Colombian Devs Build AI Agent That Flags Missing Evidence Instead of Guessing

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A development team in Colombia built an AI procurement agent to help small municipalities track and respond to government funding calls before deadlines expire. The project was created for the All Things Agentic Hackathon hosted by Google Cloud and Devpost, inspired by the reality that billions in Colombian pesos go unspent due to understaffed local planning offices missing tight application windows. The agent monitors official procurement portals on a schedule, cross-checks funding opportunities against a municipality's existing project data, and drafts filings overnight for human review — it never submits anything autonomously. To prevent costly errors, the team designed an 'Evidence-Gated' architecture where the AI can only cite verbatim quotes from source documents, while separate deterministic code extracts and verifies all figures and verdicts. A second adversarial model pass further stress-tests the reasoning, ensuring the system flags uncertainty rather than producing confident but incorrect assessments.

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