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An AI workforce for healthcare RCM

Stop staffing your revenue cycle.
Deploy it.

Eighteen coordinated AI agents that execute the transactional work of revenue cycle management — inside your existing systems, with humans in the loop where judgment matters.

Human-in-the-loopAuditableBuilt for healthcare
The problem

The revenue cycle is a massive transactional labor engine — and revenue leaks invisibly because people never get to all of it.

Denials

First-pass denial rates across healthcare RCM sit at roughly 5–15%· published RCM industry research — and the share that ever gets worked, much less appealed within timely-filing windows, is far lower.

Aging A/R

Days in A/R typically run 35–55 days· general healthcare RCM statistics. The aging report is always longer than the team that has to work it.

Invisible leakage

Underpayments at roughly 1–3% of net revenue· industry benchmarks and recoverable coverage on roughly 5–10%· industry benchmarks of self-pay accounts — leakage no one has capacity to chase.

Cited industry-benchmark ranges. Attribution shown inline. No RCM Kit performance numbers — see ROI Estimator for illustrative modeling.

The shift

Stop staffing the revenue cycle.
Start deploying it.

Most RCM work is deterministic. Eligibility lookups, ERA posting, status queries, edit resolution, appeal drafting — the work is repetitive enough to model, regulated enough to require control, and large enough that staffing alone never catches up.

Payers have been deploying automation against providers for a decade. Standing still is not neutral.

Platform

A coordinated system of agents — not a model in a box.

"Agentic" here means concrete: agents that execute multi-step revenue-cycle workflows, orchestrated together, with evaluation gates, human-in-the-loop, and a complete audit trail.

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Agentic execution

Each agent ingests, reasons over rules and context, acts in connected systems, escalates to humans on defined conditions, and records every step.

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Human-in-the-loop

Outputs with regulatory exposure are reviewed by a person before they leave the system. Autonomy expands only as confidence accrues.

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Evaluation gates

An agent must clear evaluation thresholds before it goes live, and to stay live. Gating is the safety mechanism.

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Audit & observability

Every action and decision is logged and retained, with performance and drift monitored continuously.

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Coordinated suite

Agents share a common reference architecture so the kit behaves as one system and new agents come online on a steady cadence.

The suite

18 agents. One coordinated workforce. The full revenue cycle.

Eight lifecycle stages, end to end. Each card links to the agent's page; the badge tells you exactly where it is in our rollout.

Why it's different

RCM AI has tried before. Here's why this time works.

01

End-to-end, not a point tool

18 agents spanning the full RCM lifecycle, designed to work as a coordinated system — not a single bolt-on you have to staff around.

02

Compliant by design

Human-in-the-loop on outputs with regulatory exposure, evaluation gates that must pass before an agent goes live, and complete audit logging. Security and control are architecture, not afterthought.

03

Agents work inside your systems

Deep integration with the EHR/EMR, billing systems, clearinghouses, and payer channels. The agents execute the existing workflow in the existing stack — you do not adopt a new one.

04

Specialized depth, not generalist

Generalist RCM platforms underserve specialty workflows. RCM Kit goes deep — PDPM, HIPPS, MLTSS, MDS, census-driven billing — and extends across healthcare RCM.

05

Revenue, not just cost

The suite actively recovers leakage that is invisible today — denials, underpayments, missed eligibility — alongside reclaiming labor.

06

Agents replace steps, not judgment

Repetitive execution is automated. Clinical, coding, and appeal judgment stays with people — accelerated by the agent.

The honest rebuttal

Prior generations of RCM AI were sales-led, horizontal, shallow on domain, and uncontrolled — autonomy without a safety story. They burned trust. RCM Kit is the opposite by design: specialized, deeply integrated where the work actually happens, control-first, and rolled out in cohort. Different architecture, different result.

Outcomes

Three value vectors. Two recover dollars. All three compound.

01 · Capacity

Reclaimed capacity

Automate the deterministic majority of transactional work — posting, status checks, eligibility, edit resolution — so people work the work that needs people.

Around 50–70%· general healthcare RCM statistics of transactional RCM is plausibly automatable, per industry studies.
02 · Revenue

Recovered revenue

Denials worked faster, underpayments caught at the line level, eligibility recovered on accounts that would have been written off.

Denial recovery is achievable on 60–70%· published RCM industry research of worked denials, per industry research.
03 · Growth

Growth without proportional hiring

Absorb more volume — more facilities, more lines of business — without scaling RCM headcount linearly with the book.

Operating leverage is the strategic upside: capacity becomes elastic, not staffed.
ROI Estimator

How much could the suite be worth to your book?

An illustrative model built on published industry benchmarks. Set your annual net patient revenue and see a directional band — then open the full estimator for the breakdown.

Open the full estimator
$20M$800M
Illustrative recovered-revenue band
≈ $2M – $4M / year

Illustrative estimate based on published industry benchmarks and your inputs. Not a guarantee of results.

Security & trust

Built for regulated buyers. Controls are architecture, not afterthought.

Security and compliance are present in every agent design — quietly, where you'd expect them — not bolted on as a trust badge at the bottom of the page.

HIPAA-aligned PHI handling

Data segregation, least-privilege access, encryption in transit and at rest — stated as architecture, not aspiration.

Human-in-the-loop on regulated outputs

Claim content, appeal language, and applications are human-reviewed before they leave the system.

Complete audit trail

Every agent decision and action is logged and retained. Reviewable trails for compliance and internal audit.

Evaluation gates & monitoring

Agents must clear evaluation thresholds before they go live, and to stay live. Performance and drift are monitored.

Integrations

Works inside the systems you already run.

Agents execute the existing workflow in the existing stack. You're not adopting a new operating system — you're deploying a workforce inside the one you have.

EHR / EMR

  • → PointClickCare (SNF)
  • → Leading EHR/EMR platforms

Clearinghouses & EDI

  • → 837 (claims)
  • → 835 / ERA (remittance)
  • → 276 / 277 (status)
  • → 270 / 271 (eligibility)
  • → 277CA

Payer channels

  • → Payer EDI where supported
  • → Payer-portal automation where it isn't
  • → Hybrid by design — resilient

Billing & supporting

  • → Practice-management systems
  • → Bank deposit channels
  • → Contract-terms repositories
How early access works

Rolling out agent by agent. The cohort is small by design.

01

Join the cohort

Tell us who you are, what hurts, and which agents you'd use first. We read every submission.

02

Scoped onboarding

When an agent in your priority list comes online, we onboard you ahead of general availability.

03

Shadow → autonomy

Most agents shadow-run before any autonomy. Confidence accrues from your data; we lift gates per agent, per workflow.

04

Influence the roadmap

Early-access cohort shapes which agents ship next. Your operational reality drives priority.

Questions

Honest answers to the obvious objections.

We've heard most of these. Here's where we stand.

How do you handle accuracy and hallucination risk?

Every output with regulatory or financial exposure is reviewed by a person before it leaves the system. Agents must clear evaluation gates before they go live and to stay live, and autonomy expands only as measured confidence accrues for that agent on that workflow.

How is data and PHI handled?

Agents handle protected health information per HIPAA-aligned practices: data segregation, least-privilege access, encryption in transit and at rest, and complete audit logging. Security and compliance are part of the architecture, not bolted on. See the Security page for full detail.

How heavy is the integration lift?

Agents execute the workflow inside your existing systems — EHR/EMR, billing, clearinghouses, payer channels. Deployment is phased, agent by agent, often shadow-running before any autonomy. You are not adopting a new operating system; you are deploying a workforce inside the one you have.

What's available now vs. on the roadmap?

Payment Posting is available today. Accounts Receivable & Follow-Up is in active development with an early-access cohort forming. The other 16 agents are on the roadmap — the waitlist is how you get in early and influence priority.

How does pricing work?

There is no public pricing yet. Early-access conversations are how we shape pricing with the first cohort. Join the waitlist and we will be in touch.

How is this different from RCM AI tools that failed before?

Prior generations were sales-led, horizontal, shallow on domain, and uncontrolled — autonomy without a safety story. RCM Kit is specialized (SNF-flagship, extending across healthcare RCM), deeply integrated into the systems where the work actually happens, and control-first: human-in-the-loop, evaluation gates, full audit. Different architecture, different result.

Early access

Stop staffing your revenue cycle. Deploy it.

We're rolling out the suite agent by agent. The early-access cohort is small by design — early onboarding, priority on roadmap influence, and a direct line to the team building it.

  • → Onboarding before general availability
  • → Roadmap influence on which agents ship next
  • → Direct access to the build team — no SDR layer

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