Healthcare workflows that cut manual work by 60%+
A healthcare team reduced manual onboarding, approvals, and document handling with connected workflows.
Onboarding, approvals, and document handling now run automatically with human oversight only for exceptions
Healthcare Company · Engagement sponsor: Founder / CEO
- Employee onboarding required 12+ manual steps across email, spreadsheets, and disconnected tools
- Approval requests stalled in inboxes with no visibility into status, no escalation logic, and no audit trail
- Document intake was entirely manual - staff sorted, routed, and filed everything by hand
- As volume grew, manual errors became harder to catch and correct.
What we did
- 01
Mapped the critical workflows end-to-end and identified the highest-friction failure points
- 02
Built onboarding and offboarding workflows so one intake could start access requests, training assignments, and equipment tracking
- 03
Deployed approval routing with conditional logic, escalation deadlines, and automatic reminders
- 04
Added intelligent document classification that categorizes and routes incoming documents based on content
- 05
Established an operating cadence: prioritized backlog, weekly reviews, and measurable automation metrics
More from this engagement
Cycle time cut from days to hours
Requests that took 3-5 days of follow-up now complete in under 4 hours on average
91% of document intake handled without human review
The Claude-powered classification agent handled 91% of intake volume autonomously by week eight
Scalable, auditable foundation
The new workflows record key actions and exceptions so the team has a clearer history to review.
Under the hood
Document intake had grown across fax, email, portal submissions, and manual handoffs. Before automating it, we brought those channels together, defined document types, and agreed on routing rules.
The classification workflow reads incoming documents, pulls out the fields needed for routing, and checks for missing information. Complete items can move on. Items with gaps go to a reviewer with a summary of what needs attention.
We adjusted extraction and routing against real intake data over six weeks. By week eight, the classification workflow handled 91% of volume without human review.
What changed
The team spends less time sorting and chasing work. Staff can focus on exceptions while routine tasks move through the agreed process.
Let's talk about what you're trying to change.
A discovery call is where we learn about your goals and where work gets stuck, explore whether we're a fit, and agree on whether a deeper review or service conversation makes sense next.
- No prep required
- A conversation about your goals and constraints
- Optional deeper review if it makes sense