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Trigger: Scaling pains / operational chaos • Industry: Healthcare

Scaling Pain → Intelligent Workflows

Replaced manual bottlenecks with automated, agent-enabled workflows that scale with the business — not against it.

Who this was for

Founder/CEO and Business Manager

Situation
  • Employee onboarding required 12+ manual steps across email, spreadsheets, and disconnected tools
  • Approval requests stalled in inboxes — no visibility into status, no escalation logic, no audit trail
  • Document intake was entirely manual — staff sorted, routed, and filed everything by hand
  • Growth increased compliance pressure and made every manual error more costly
Our approach

What we did

  • Mapped the critical workflows end-to-end and identified the highest-friction failure points
  • Built automated onboarding and offboarding flows — single intake triggers provisioning, training assignments, and equipment tracking
  • Deployed approval routing with conditional logic, escalation deadlines, and automatic reminders
  • Added intelligent document classification that categorizes and routes incoming documents based on content
  • Established an operating cadence: prioritized backlog, weekly reviews, and measurable automation metrics
Results

Outcomes

60%+ manual work eliminated

Onboarding, approvals, and document handling now run automatically with human oversight only for exceptions

Cycle time cut from days to hours

Requests that took 3–5 days of follow-up now complete in under 4 hours on average

Scalable, auditable foundation

Every workflow logs actions, decisions, and exceptions — ready for compliance review without additional effort

How we built it

Under the hood

The core challenge wasn't technical — it was operational. The client's document intake process had grown organically over five years into a mix of fax, email, portal submissions, and manual handoffs. Before any automation was possible, we had to stabilize the intake surface: consolidate channels, define document types, and establish clear routing logic.

With that baseline in place, we built a Claude-powered classification agent. The agent reads each incoming document — regardless of format or source channel — extracts the fields that matter for routing, checks for completeness, and generates a structured intake record in the downstream system. Documents that pass the completeness check route automatically. Documents with missing or inconsistent information route to a human reviewer with an exception summary already attached, so the reviewer is resolving a specific problem, not re-reading the document from scratch.

We tuned the agent's configuration over the first six weeks using real intake data — adjusting field extraction logic, adding document type variants we hadn't accounted for in the initial build, and refining the escalation thresholds based on the client's actual tolerance for autonomous routing. By week eight, the agent was handling 91% of volume without human review.

The team stopped fighting process and started running it — intelligent automation replaced the bottlenecks, and agents handle more as volume grows.

Get clarity in 20 minutes.

We'll identify the root cause of operational friction, confirm risk exposure, and recommend the fastest stabilization path.

  • No prep required
  • Clear next steps, even if we're not a fit
  • Built for regulated operations