Building the Healthcare Brain Healthcare FDE Consulting.
The wedge engagement model. A 2-person specialist pair scoping and fixing bounded healthcare AI problems — referral leakage, PA backlogs, readiness gaps, agent customization, regulatory landmines. Four to twelve weeks. Fixed-fee or risk-shared outcome.
What FDE Consulting actually looks like.
Healthcare FDE Consulting is Genzeon Platforms’ scoped-engagement model for customers with a specific healthcare AI problem and no committed platform decision yet. Typical engagement: 4–12 weeks, a 2-person POD (FDE plus clinical or domain specialist), fixed-fee or risk-shared on the outcome. A specialist pair drops in, scopes the real problem, and ships a fix. Sometimes the fix is a built capability. Sometimes it’s a clear-eyed answer to whether the problem you think you have is the problem you actually have.
"We have a problem. Help us scope and fix."
You're not buying a platform. You're carrying a specific operational drag — referral leakage in your ambulatory network, a PA backlog inside UM, a CMS-0057-F readiness gap, an agent that needs deep customization, or a regulatory landmine in a state law you can't ignore. You need a specialist pair to scope and fix.
2-person POD.
An FDE plus one specialist. Two pairing patterns depending on the engagement: FDE + clinical/regulatory specialist (for medical-policy, UM, or readiness work) or FDE + AI-deep specialist (for agent customization, eval-harness build, or multi-model architecture work).
4–12 weeks.
Shortest engagements (4–6 weeks) are typically scoping assessments — "is this problem what we think it is?" Mid-length engagements (6–10 weeks) build a specific capability. Longer engagements (10–12 weeks) ship a fix and validate it in production. We don't run consulting engagements longer than 12 weeks — if the work is bigger than that, it's a Platform Implementation, not a consulting engagement.
Fixed-fee or risk-shared.
Fixed-fee engagements are the default — the pair scopes the work upfront, prices it, and ships against the scope. Risk-shared engagements are available where the outcome is measurable (e.g., referral conversion uplift) — we take a portion of the upside if the outcome lands. Aligned to the Agents or Outcomes GTM motions on /how-to-engage.
Five problems FDE Consulting actually solves.
Not exhaustive. These are the patterns we've shipped against often enough to scope quickly and price confidently.
Referral Management deployment
Multi-patient fax separation, vision-language document understanding, payer-criteria matching, agentic outreach for documentation gaps, closed-loop scheduling. The capability documented on the provider page. Typical engagement: 8–12 weeks, fixed-fee or risk-shared against the referral conversion uplift.
CMS-0057-F readiness assessment
Where are you on the January 2027 mandate, what gaps exist, what's the build path. The FDE pair walks your existing PA stack, your FHIR readiness, your X12 footprint, and your operational workflows; produces a documented readiness assessment with a phased build plan. Typical engagement: 4–6 weeks, fixed-fee.
Agent customization & grounding
You have an Aether One™ agent licensed (PA Pre-Check Agent, Auto-Approval Agent, Intake Agent, etc.) and need it grounded against your organization's policies, evidence corpus, and operational SLAs. The FDE pair ships the customization plus the eval harness that verifies it survives edge cases. Typical engagement: 6–8 weeks.
Regulatory landmine work
A new state AI law lands, OCR issues an audit-protocol update, CMS drops an LCD that changes your UM rules. The FDE pair reads the regulatory text against your existing rule packs, identifies the gaps, and ships the rule-pack updates. Typical engagement: 4–8 weeks, fixed-fee.
Healthcare AI strategy assessment
Your CMO or Chief AI Officer needs a clear-eyed read on your existing AI footprint — what's working in production, what's stalled, what's been over-promised by other vendors, what the next 18 months should look like. The FDE pair runs a strategy assessment that produces a phased AI roadmap grounded in production realities, not vendor pitches. Typical engagement: 4–6 weeks, fixed-fee.
If the work doesn't fit one of these patterns: talk to us anyway. The patterns above are the engagements we scope quickly. Novel engagements are scoped through a 30-minute discovery call that establishes whether FDE Consulting is the right model or whether the work belongs in Platform Implementation or Claude-First Practice.
Three scenarios where you want a different engagement model.
Honest framing. Consulting is the wedge engagement — small, scoped, fast. Some work doesn't fit.
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Full platform deployment
If you're putting HIP One, PES One, or CPS One into production end-to-end, that's a Platform Implementation, not a consulting engagement. The work is too large, the team too broad, and the timeline too long for a 2-person POD.
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Internal AI capability build-out
If your goal is to teach your team to operate Claude-first internally — standing up an in-house healthcare AI org, building eval discipline, training your engineers in production-grade agentic design — that's Claude-First Practice, not consulting. The engagement shape is capability transfer, not problem-fixing.
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Ongoing AI operations
If you need ongoing operational support — running an AI capability we built, expanding it over time, handling continuous customization — that's a customer-success engagement under Genzeon Platforms' standard ongoing-support model, not an FDE engagement.
Scope an FDE Consulting engagement.
A 30-minute discovery call. We scope the problem, propose a 2-person pair, and produce a fixed-fee or risk-shared engagement scope inside one business week.