Turning fragmented research into organizational intelligence
Building an AI-powered research system that turned scattered customer evidence into accessible, reusable intelligence across teams.
Customer knowledge existed.But it was difficult to access and reuse.
Research, Sales, Marketing, and product teams were continuously learning from customers, but that knowledge lived across different documents, tools, and teams.
As the GenAI portfolio grew, teams began asking similar questions while previous insights became increasingly difficult to discover and reuse.
How could we make what we already knew easier to find, connect, and use?
From scattered evidence to shared intelligence
I built an agentic, queryable research system that brought together customer evidence across Research, Sales, and Marketing.
Instead of searching through individual reports, teams could start with a question and surface relevant evidence across sources—making existing knowledge easier to access, synthesize, and apply to decisions.
Search for research → Ask what we know
The system helped teams connect insights across sources, identify recurring patterns, understand what was already known, and see where new research was actually needed.
Impact
- 6+ teamsAdopted across cross-functional teams as a primary source for accessing and synthesizing customer insights.
- Evidence reuseMade existing customer evidence easier to discover and apply across products and decisions.
- Shared intelligenceCreated a research intelligence layer where customer understanding could accumulate across studies.
The goal wasn’t to create another place to store research.It was to build a system where customer knowledge could compound over time.