Project Experience Retrieval for Business Development
Outcome: Prior project experience made searchable, reusable, and evidence-backed for pursuit work
Context
Business development and proposal teams often need to find relevant prior work quickly: similar projects, comparable clients, matching technical scope, key challenges, and value delivered.
The information may exist, but it is usually scattered across project sheets, narratives, archives, and individual memory.
Client Profile
- Business development and proposal teams
- Project-based firms with valuable but scattered experience records
- Organizations that need reusable proof points and comparable project evidence
How The Technology Is Applied
Anubis Labs created a project experience retrieval system that combines structured portfolio filters with semantic search over project narratives.
Teams can search by client, market, category, phase, location, project type, technical scope, challenges, and delivered value.
The system indexes project information at the section level, allowing it to retrieve not only the right project, but the right evidence inside the project. This supports proposal teams looking for proof points, comparable experience, project summaries, and language that can be adapted for pursuit work.
Constraints
- Surface existing evidence without inventing claims
- Support structured filters and semantic narrative search together
- Retrieve the relevant section or proof point, not just the project title
- Keep final pursuit wording under human judgment
What It Shows
This work demonstrates how AI retrieval can support business development without inventing claims. The system helps surface existing evidence and make it reusable, while still keeping human teams responsible for final wording and judgment.
Why It Matters
Prior project experience is one of the strongest assets a services firm has, but only if teams can find and use it. A searchable project evidence layer helps organizations respond faster, tell stronger stories, and reuse their own institutional knowledge more effectively.
Architecture Breakdown
- →Structured portfolio filters for market, client, category, phase, location, and scope
- →Section-level indexing of project narratives
- →Semantic retrieval over challenges, delivered value, and technical scope
- →Evidence snippets for comparable experience and proposal proof points
- →Reusable search layer for business development workflows