Context-Aware Asset Search with AI Recommendations

Implement a context-aware search engine leveraging AI to provide users with relevant asset recommendations based on their current workflow, project phase, or client type. The system should allow users to input a query (e.g., “kickoff deck”) and receive intelligently ranked results—factoring in project context, asset freshness, and past usage.

Put Simply: Let users quickly find the most relevant, up-to-date assets by searching in plain language, with AI surfacing the best matches.

Why it Matters: Addresses the generational shift in work habits—users expect fast, relevant search over structured navigation. Increases efficiency, improves new joiner ramp-up, and reduces redundancy in asset creation.

Supporting Feedback: “...the newer generation doesn’t go with the flow we want them to go in Concourse... What they want to do is I type in ‘kick off deck’ and then all of a sudden give me 10 results back and I trust myself have the judgment to pick the best one right... So I think that’s kind of like something I’ve noticed, especially last few years.”