About the project
For TimeCamp, we develop an AI desktop app that runs in the background and reduces manual timesheet work. It prepares suggested time entries for the right projects while the user stays in control and approves everything before saving.
The key was turning fragmented work signals into useful time suggestions without adding another workflow and without taking control away from the user.
The product had to combine background execution, reliable activity categorization and a simple approval flow where the user still decides what gets saved.
Scope of work
We built the product as a desktop application with a lightweight UI, a background execution layer, and an approval flow that closes the loop between AI suggestions and final timesheet entries.
Electron-based desktop app with a React/TypeScript interface and continuous background operation
Suggestion pipeline combining activity signals with AI-assisted categorization and project assignment
Review/approve flow and release discipline across the desktop layer and native modules
Results
- Less manual timesheet work: the application prepares entry suggestions based on the user’s actual work context.
- More complete reporting data: activities are more likely to reach the correct projects instead of remaining unreported.
- User-controlled automation: AI supports the decision, while every entry remains subject to approval before it is saved.
- A product ready to evolve: the desktop layer, AI logic and native modules provide a stable base for further automation scenarios.
The team delivers on time, responds quickly to change, and consistently suggests improvements that have a real impact on product quality. We especially value their collaborative approach and strong ownership of the outcome. Both have been important to the success of this project.
