Purpose of the AI Agent
This AI Agent quantifies Probability of Win using a structured, 100-point model and provides targeted recommendations to increase PWIN before proposal submission.
User Inputs
Opportunity Context: Solicitation details, customer intel, evaluation criteria.
Competitive Inputs: Known/likely competitors, teaming considerations, incumbent status.
Internal Readiness: Capability fit, past performance relevance, pricing posture, relationships.
What the AI Agent Does
Data Collection and Normalization:
Consolidates inputs from qualification analysis, pipeline, and internal assets.
Scoring Across Five Categories (100 points total):
Technical Fit, Competitive Position, Business Value, Win Probability, and Risk Assessment.
PWIN Calculation:
Computes multiplicative or weighted composite PWIN and confidence range.
Sensitivity and Improvement Plan:
Models “what-if” scenarios; identifies actions to raise PWIN with estimated impact.
Reporting and Guidance:
Visual indicators, score breakdowns, and prioritized recommendations.
Expected Output
File Format: HTML document (PWIN dashboard with scores, rationale, and action plan)
Key Outcome
A defensible, quantified go/no-go assessment with a practical plan to raise win probability.