FFusible

Case studies

Creating durable value with AI.

01

Specialty healthcare

GLP-1 care group grew revenue 30% while increasing headcount 5%.

Company profile

  • Multi-location specialty healthcare operator, ~200 employees
  • In-clinic + virtual care model
  • EMR, Salesforce Health Cloud, call transcripts, dialer, and messaging

Challenge

The company wanted to grow revenue without adding headcount, so we needed to lighten the load on clinical-support and operations employees while avoiding a replatform.

What Fusible built

A member-facing support agent for routine coaching/navigation, and a provider-facing internal agent that pulls context from EMR, Salesforce Health Cloud, Zoom transcripts, Dialpad/call logs, and Twilio messaging.

Results

-40%Routine health-coach visit load reduced per patient
+30%Revenue increased
02

Pharmacy benefits audit

New customer onboarding process reduced from six weeks to one.

Company profile

  • Healthcare data and audit firm specializing in pharmacy benefits
  • Highly specialized plan documents and transaction metadata

Challenge

New customer onboarding was cumbersome. An expert team had to manually interpret plan documents, then build a complex batch of configuration metadata, before any actual transactions could be reviewed.

What Fusible built

An agent pipeline that ingests plan documents, extracts and reconciles benefit metadata, compares scopes, applies plan-specific logic, and produces structured configuration for transaction review.

Results

-83%Customer onboarding reduced from roughly six weeks to roughly one week
ClearedExpert team bottleneck, allowing for scale
03

Industrial asset transactions

100-document asset transaction files processed in minutes.

Company profile

  • Specialized industrial asset transaction firm
  • Complex asset lease and purchase diligence
  • Large document sets per transaction

Challenge

Each deal required a specialist to review a large bundle of documents, extract a large volume of terms, and perform a complex reconciliation including marking missing or inconsistent deal information.

What Fusible built

A document-extraction and structuring system that ingests the full deal file, pulls key data into a database, and generates an issue list for expert review.

Results

-70%Reduction in specialist man-hours. A process that previously took a very large effort is now a short structured review window
StructuredDeals are now represented as an easy-to-read brief, structured and searchable deal data, and a focused exceptions list

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