Enterprise AI Analytics Platform
Replaced manual cross-platform reporting for 40+ users, cutting 300+ hours of work each week.
I came up with the concept, designed the system, built the first version, and led the rollout.
The Head of Data Engineering and I scaled it and took it to production.
Problem
Teams relied on manual, platform-by-platform report pulls to answer recurring business questions. The work was slow, duplicated across departments, and dependent on a small number of people who knew where the data lived and how to interpret it.
Solution
I built a self-service analytics platform with reusable agent workflows, shared company context, connected analysis tools, and automated checks. I built the first version, then worked with the Head of Data Engineering to scale it for production.
Outcome
MeasuredCut 300+ hours of manual reporting each week across 40+ users.
How it works
Encode
Packages repeatable analyses as agent workflows
Ground
Adds company definitions, metric logic, and operating context
Connect
Links the data and tools each analysis needs
Check
Tests outputs before users see them
Answer
Returns analysis in the team's existing tools