Know which project is slipping before the client does.
Every night, AI Project Health reads the plan, the timesheets, the team load and the open change requests on every project. When something is off, it tells the delivery head what, why, and what usually fixes it.
Go-live slips about 3 weeks if nothing changes.
Why
- Effort is 16 points ahead of progress
- 2 change requests built, not signed off
- Backend APIs block the mobile app
- Nightly
- Every active project is checked
- Plain reasons
- Every flag shows the numbers behind it
- Forecast date
- Likely go-live, next to the promised one
- Projects only
- No scores for individual people
Everything in AI Project Health
Effort against progress
If 54% of the budget is used but only 38% of the work is done, you see it in week 6, not at the last milestone.
Forecast go-live
A likely go-live date based on how this team has actually delivered so far, with a range, not a single guess.
Overload detection
Teams and people above 100% load for two weeks or more are flagged, with the projects causing it.
Scope creep signals
Hours logged to tasks outside the signed plan, and change requests built but unsigned, are counted and shown.
Reasons you can check
Each flag links to the timesheets, tasks and load numbers behind it. Nothing is a black box.
Suggested moves
Options such as moving a developer from a project that is ahead, raising a change request or re-sequencing a phase, with their effect on the date.
Weekly health digest
Monday morning summary for delivery heads: what changed, what is at risk, what needs a decision.
Portfolio health
All projects on one page, sorted by risk, with green, amber and red you can explain to the founders.
Learns your delivery pattern
Forecasts improve as projects close, using your own history. Your data is never used for other customers.
A week in AI Project Health
- 1Every nightAI reads plans, approved and draft timesheets, team load and change requests across all active projects.
- 2Monday digestThe delivery head gets a short list: projects that moved from green to amber, the reasons, and suggested moves.
- 3Decision in the meetingIn the weekly review, the team opens the flag, checks the numbers behind it and picks a move, such as reassigning a developer.
- 4Watch it recoverThe forecast updates as new hours and progress come in. When the bar turns green again, it stays on record as a save.
Protect people before they burn out.
Load is shown by team and by week, so a delivery head can see that the backend team has been above 100% for three weeks and move work, before anyone has to say it out loud.
- Alerts go to managers first, never to a public board
- Shows which projects create the overload
- Suggests who has the right skills and free time
What Wosinfotech will never do
No screenshots or webcams
No screen capture, keystroke logging or webcam monitoring, ever. People enter their own time.
No rating of individuals
AI reads projects and workload. It never scores people for appraisals or rankings.
Overload alerts come first
Burnout signals go to the manager first, with options to move work, not to blame.
Data never sold
Client and project data is encrypted in transit and at rest, and never sold or shared.
Every plan starts
with a signature.
Sign off on your own kickoff. Import a live project, invite the team, and watch the first timesheets turn into an invoice before the month closes.
- Project
- Your next client project
- Kickoff
- Today
- Workspace
- 30 days free · up to 25 people
- Go-live
- The date you promised the client
