Project cockpit
A unified view of project status, exceptions, risks, tasks, milestones, and team completion.
An AI project workspace addressing fragmented status, delayed risk detection, and time-consuming daily reporting.
The live MVP demonstrates the implemented core workflow without presenting demo data as production delivery.
Open live product ↗A unified view of project status, exceptions, risks, tasks, milestones, and team completion.
Structure plans, ownership, status, and delays for analysis.
Analyze member feedback for warning signals and risks.
Generate status summaries, risks, and decision items from project data.
Assess new customer requirements against contract scope.
Present AI entry points for project, contract, risk, and acceptance checks.
Project status, exceptions, and member feedback were scattered across the software delivery process.
Requirements, product design, AI workflows, prompt iteration, development, and testing
Built dashboards, milestones, tasks, feedback, change requests, AI daily reports, and risk alerts with Codex-assisted development.
Uses an LLM to analyze progress and feedback, generating status summaries, risk alerts, and decision items.
The MVP is in local testing and continuous iteration; it is not publicly released.