Grant Matching Agent

Workflow record

Field	Value
Status	Built
Classification	Research and opportunity matching
Bottleneck	Researchers and technical teams spend too much time searching fragmented grant databases and translating their own capabilities into useful search queries.
Inputs	Resume or CV, capabilities statement, research areas, custom prompt or default prompt, and grant opportunity sources.
Related artifact	AgentLabUI / Gofannon
External reference	AI Alliance blog post on real-world AI agents

Agent role

• Extract relevant skills and focus areas.
• Generate structured search queries.
• Search available grant opportunities.
• Return relevant matches for review.
• Support iteration as the user adjusts inputs.

Human role

• Decide which opportunities are actually worth pursuing.
• Review eligibility and fit.
• Own the application strategy.
• Contact funders or agencies.

Known limits

• Matching is not the same as eligibility.
• Grant strategy still needs human judgment.
• The system can surface opportunities, not guarantee fit or funding.

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Send the current bottleneck, source material, and first human-owned decision.

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