This proof page frames the system as AI-assisted opportunity evaluation and validation. It extracts requirements, validates fit against explicit criteria, identifies gaps and risks, scores evidence, and prepares a recommendation for human review. It is not an auto-apply bot.
The first use case can be job-opportunity validation, but the architecture is broader: any opportunity with requirements, constraints, evidence, and reviewer judgment can move through the same pattern.
The demo uses sample opportunity records and a sample criteria profile to show extraction, validation, scoring, and review.
Load a synthetic job, RFP, vendor offer, partnership brief, grant, or sales lead into the evaluation queue.
Extract hard requirements, preferred criteria, constraints, deadlines, deal-breakers, and success factors.
Compare requirements against an explicit sample profile or criteria set, separating evidence-backed matches from assumptions.
Surface missing evidence, red flags, ambiguous constraints, eligibility gaps, and follow-up questions before action.
Score the opportunity with transparent reasoning, confidence, and source-backed evidence instead of generic enthusiasm.
A reviewer approves, rejects, requests more information, or drafts a next step. The system does not auto-apply or auto-send.
The reviewer sees a requirement validation table, evidence from the sample profile, status per requirement, confidence, gaps, risks, follow-up questions, and a recommended next action.
All hard requirements have evidence and risk is low.
Core criteria match, but missing evidence or constraints need review.
Important requirements are absent or unsupported.
Posting or profile lacks enough detail to score responsibly.
A deal-breaker, risk, or mismatch makes pursuit unreasonable.
The system can prepare a recommendation or draft next step, but it does not send applications, outreach, submissions, or messages. A person decides what happens next.
Request future protected demo accessRequirement extraction, fit validation, risk analysis, evidence scoring, and reviewer-ready recommendations can be scoped for recruiting, RFPs, vendors, sales leads, and operational triage.