Outcome · Keep the mission runningGovernment-wide enterprise IT
Thirteen thousand users. Eight hundred sites. One roadmap.
01 · Problem
What was in the way?
A distributed civilian enterprise spread across hundreds of sites, running on infrastructure that could not be taken down and with no single modernization roadmap to run it against.
02 · AI at work
What did the AI teammate do?
The AI Network Engineer forecasts the failure, raises the event, diagnoses the cause and proposes the remediation.
03 · Human role
Where did people keep authority?
A human engineer approves the change and owns it. Nothing is applied without that sign-off.
04 · Result
What changed?
Failures are caught days before users feel them and the staff hours go back to the agency.
More work running in production.
The wait, removed.
Federal immigration services
Read the case study →Authorization evidence kept current between assessments, not rebuilt for them.
A government-wide services agency
Read the case study →Ten million pages processed, with a person making the determination.
Federal health payments
Read the case study →