Saving Time App
Revisa Master consultants sell hours. This app turns each session into a client-ready record.
Context & Constraints
Revisa Master sells consulting hours. After each demand, clients need to understand what was done, why it mattered, and what happens next.
Consultants were writing updates by hand, or recording too little. That made the work harder to explain, weakened client trust, and made revenue tracking less precise.
- The client buys hours, so the record had to explain the value of the work without forcing consultants into a second reporting workflow.
- The app had to work well on mobile and avoid pressuring a small VPS with constant writes.
- The output had to be useful for the client and for internal revenue tracking, not just a pretty AI summary.
“The product wasn't the app. It was turning an informal client-update habit into a system.”
Architecture
I built a beta mobile app for Revisa Master consultants. At the end of a client demand, the consultant records an audio note. AI turns it into a session summary and next-step list, then the record updates that client's database. The app uses SQLite on mobile and syncs once a day, so the workflow works without pressuring the VPS.
My Role
I mapped the business pain, designed the workflow, and built the mobile architecture, local storage and AI summarization flow.
Results & Validation
The hard part was not the app screen. It was understanding that clients needed confidence in the hours they bought, and the company needed a clean record of time spent per demand.
Stack
Building AI that has to work every time?
I design, ship and operate systems like this one.
Let's talk