Notable
AI agent platform for healthcare operations, spanning patient access, revenue cycle, and care operations rather than a single workflow. Agents automate patient intake and registration, appointment scheduling, insurance eligibility verification, prior authorization, denial management, patient payment estimates, referral processing, and post visit follow up, each running a defined workflow end to end. Flow Builder is a no code interface that lets an organization's own IT and non technical staff build, train, and deploy agents, which places it alongside Bunkerhill and XCaliber as a build your own platform rather than a fixed product set. Integration is unusually pragmatic and is the stated differentiator: the company uses whichever method reaches the field, including APIs, RPA, and HL7, reading and writing structured and unstructured data across Epic, Oracle Health, MEDITECH, athenahealth, and payer portals. Named health system deployments include Intermountain, Trinity Health, and MUSC. Published customer results include a health system reaching 64 percent voice containment with roughly $360,000 annual savings, and an insurance FAQ voice assistant answering all inbound calls at a stated $4 saving per call. Backed by Greylock and ICONIQ Growth.
Capability Axes
Agents performing workflows end to end are the product, and Flow Builder sells the capability to author more of them. There is no non AI version of the offering.
Agents are described as handling workflows autonomously and as virtual team members performing end to end work, including prior authorization submission and denial management, which are consequential actions with financial and access implications. No escalation criteria, confidence thresholds, human review checkpoints, or exception handling policy were retrieved. This is the same pattern flagged for Waystar and Elation in this index: strong autonomy claim, thin oversight disclosure, in workflows where errors cost patients access or money.
Named health system deployments at Intermountain, Trinity Health, and MUSC, with published customer results that state both the metric and the site: 64 percent voice containment and roughly $360,000 in annual savings at one system, registration reduced to 30 seconds at another, and an insurance FAQ voice assistant at a stated $4 saving per call. Containment rate is the correct metric for voice deflection and it is rarely published. Held back from A because the figures are customer stories curated by the vendor rather than independently audited.
Among the most pragmatic integration positions in the index, and the honesty is the point: the company states it uses whichever method actually reaches the field, including APIs, RPA, and HL7, across Epic, Oracle Health, MEDITECH, athenahealth, and payer portals, reading and writing both structured and unstructured data. Acknowledging RPA rather than claiming pure API integration is a more truthful description of how healthcare data access actually works, and buyers should note RPA based paths are more brittle to vendor interface changes than certified APIs.
No public pricing. Contact the vendor. Enterprise agreements with health systems; no published rate card. Buyers evaluating this against a point solution should establish whether pricing is per agent, per workflow, or platform level, since the platform model is only economical if multiple workflows are deployed.
Broad but clearly enumerated by function rather than vaguely claimed: patient access, revenue cycle, and care operations, with named workflows under each. The company makes no clinical decision support claims, which is the correct scope for operational automation.
Pricing
Vendor-published figures are labeled as such. Figures labeled “Estimated” are derived from third-party sources and have not been confirmed by the vendor.
| Entry Price | Pricing Basis | BAA Tier | Implementation | Source |
|---|---|---|---|---|
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Contact the vendor
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Enterprise platform agreements with health systems | — | — | Vendor Published |
No rate card published. Enterprise agreements with health systems. The structural question for a buyer is whether pricing is per agent, per workflow, or platform level: a build your own agent platform is only economical if the organization deploys several workflows, so single use case pricing would compare unfavorably against a point solution such as Tennr or Prosper AI in the same lane.