Cohort 1 starts 16 November 2026 · 25 seatsHiring, or holding a mandate as a search firm
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Industries

Forward Deployed Engineers for healthcare

Revenue cycle work is document heavy, rules heavy and labour heavy. That makes it the clearest case in any industry for an engineer who deploys artificial intelligence inside live operations, and it is where we are starting.

Demand

Healthcare and life sciences account for 17% of Forward Deployed Engineer postings that name an industry.

Source: published analysis of Forward Deployed Engineer hiring

Where they deploy

4 workflows where the engineer earns their fee

  • Medical coding and charge capture

    Suggesting codes from clinical documentation, with the evidence attached, for a coder to confirm.

  • Prior authorisation

    Assembling the packet each payer requires, from records spread across several systems.

  • Denials and appeals

    Predicting which claims will be denied, and drafting appeals grounded in the payer's own policy.

  • Eligibility and payer correspondence

    Verifying coverage and triaging the letters, portals and faxes that drive rework.

What we test hardest

The benchmarks that decide success in this industry

Every candidate is assessed against all 9. For this industry, these 3 carry the most weight in the specification.

  • DRS-07

    Protected health information demands access control, audit logging and data residency from the first day, under obligations such as HIPAA in the United States.

  • DRS-05

    Payer policies and clinical documentation change constantly. Retrieval that cannot keep up produces confident, wrong answers.

  • DRS-08

    Operations leaders describe the documented process. The claims data shows how it actually runs.

Read the full specification

Questions

Asked directly, answered directly

What does a Forward Deployed Engineer do in revenue cycle management?

They work inside the billing and coding operation, connect to the practice management and clearinghouse systems, and deploy artificial intelligence into one workflow at a time, such as denial prediction or prior authorisation, until it runs in production with a measured result.

Why is healthcare harder than other industries for artificial intelligence deployment?

The data is regulated, payer rules change without notice, and a human must stay accountable for every coding and billing decision. The engineer has to design for all 3 from the start.

Other industries: banking and financial services · insurance · contact centres and customer operations · manufacturing and supply chain · legal teams

Start with a 30 minute call.

A founder and your decision maker. If there is no fit, we will say so on the call.

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