01
Situation
A pursuit team had too much government opportunity data to review consistently and needed better support for deciding what was worth attention.
Selected Work
AI Opportunity Intelligence Platform
A pursuit team had too much government opportunity data to review consistently and needed better support for deciding what was worth attention.
02
What Jim did
I worked on API ingestion, normalization, classification, AI-assisted analysis, workflow design, and reporting.
03
Result
The system supported faster qualification, more consistent analysis, and better pursuit decisions.
04
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.
05
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.
06
What this shows
- 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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