Engagement snapshot · Healthcare
Reducing intake cycle time for a regional healthcare network
- Challenge
- Patient intake was distributed across three intake teams, two systems of record, and a manual exception path that was absorbing nearly 40% of staff hours each week.
- Approach
- We mapped current-state workflows, defined a single governed intake process, repaired data lineage between systems, and applied targeted automation only where the workflow could carry it safely.
- Result
- Within 90 days the network had a measured baseline, written governance for AI-assisted triage, and a consolidated intake path the operations team could run without us.
- 38%Intake cycle time reduction
- 90 daysFrom discovery to governed baseline
- 1Single intake system of record
They treated our process and our data as the actual product. By the time we talked about AI, the conversation was about which decisions we wanted to govern, not which tool we wanted to buy.
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