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ATLAS | Agent Evaluate and Review

AI Agent for Proposal Evaluation and Quality Review

Written by Customer Success Department

Purpose of the AI Agent

This AI Agent performs a structured evaluation of a proposal or white paper against the solicitation and compliance matrix, identifying gaps, risks, and improvement actions with an overall score.

User Inputs

  • Proposal/White Paper: Draft to be evaluated.

  • Solicitation Package: RFP/RFQ/BAA (Sections L, M, C/SOW/PWS), amendments.

  • Compliance Matrix: If available; otherwise, the agent highlights the need to create/validate one.

  • (Optional) Scoring Rubric or internal evaluation criteria.

What the AI Agent Does

  1. Baseline Read:

    • Reviews the draft for narrative flow, responsiveness, and structure.

  2. Compliance Verification:

    • Checks each requirement, citing exact evidence locations.

    • Flags binary pass/fail items and partial compliance.

  3. Quality Assessment:

    • Evaluates clarity, benefits focus, graphics utility, and readability.

  4. Findings and Remediations:

    • Prioritized issue list with recommended fixes, owners, and due dates.

    • Overall compliance and quality score, residual risks, and assumptions.

Expected Output

  • File Format: HTML document (scorecard, annotated findings, prioritized action plan)

Key Outcome

A clear roadmap to improve compliance and competitiveness before submission, reducing the risk of disqualification and strengthening the evaluator's impact.

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