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Healthcare SaaS • AI integration

Cut intake time 62% with a HIPAA-aware AI document workflow

Replaced a 4-step manual intake with an LLM extraction pipeline grounded in HIPAA-aware infrastructure. Patients onboard in minutes, not days.

Context

A clinical SaaS platform was losing operations time on manual patient intake — paperwork OCR, eligibility checks, and prior-auth document classification done by a team of contractors. Volume was growing faster than headcount, and PHI handling created compliance risk in every shortcut.

What we built

  • Document ingestion pipeline with PHI redaction at the edge.
  • RAG extraction grounded in the team's actual intake forms.
  • Reviewer console with side-by-side citations and one-click corrections.
  • Eval harness wired to nightly regression runs across 1,200 historical cases.
  • Audit logs aligned to HIPAA Security Rule controls.

Outcomes

Faster intake
62%
Annual labor saved
$210k
PHI incidents
0
  • Median intake dropped from 38 minutes to 14 minutes per case.
  • Operations team redeployed two FTEs from data entry to patient support.
  • Passed an internal HIPAA review with zero open critical findings.
"TWC built the AI feature we tried to build twice ourselves. The difference was that they wrote down what could go wrong before we shipped — and built the guardrails for each one."
VP of Engineering, healthcare SaaS (Series B)

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