01
Business challenge
Analyze large volumes of government opportunities and identify the most relevant pursuits.
Selected Work
AI Opportunity Intelligence Platform
Faster qualification, more consistent analysis, and better pursuit decision support.
02
Constraints
- Opportunity data needed to become useful before it could support better decisions.
- Classification and workflow design had to reflect how pursuit decisions are actually made.
- Reporting needed to support decision support rather than produce more noise.
03
Solution approach
API ingestion, normalization, classification, AI-assisted analysis, workflow design, and reporting.
04
Technology approach
- API ingestion and normalization to make opportunity data more consistent.
- Classification and AI-assisted analysis to support review at scale.
- Workflow design and reporting to help teams qualify opportunities more consistently.
05
Business outcome
Faster qualification, more consistent analysis, and better pursuit decision support.
06
Lessons learned
- AI is useful when the workflow and decision model are clear first.
- Normalization and classification matter as much as the analysis layer.
- Better pursuit support comes from reducing noise, not just increasing data volume.
07
Related capabilities
- AI-Assisted Analysis
- Workflow Design
- Reporting
- Technology Strategy
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