Revenue cycle operations, re-architected for AI

We turn the AI across your revenue cycle into compounding outcomes—the operating system, engineered and run with you to the cash.
Revenue cycle operations, re-architected for AI
Why IT Matters NOW

Turning Intelligence into RCM outcomes

Think of an AI agent as a surgeon. Brilliant in isolation, but outcomes depend on the operating room around them: the instruments, the patient record, and the live monitors. AI now reaches every corner of the revenue cycle. The challenge is building that operating room. That's the operating system: the memory, rules, and live signals that turn scattered AI into RCM outcomes you can measure.
Adoption isn’t the gap

63%

of organizations already use AI in RCM
AI is adopted; outcomes lag. A capable tool in isolation produces a one-time result. Harnessing it for outcomes takes an operating system that remembers, applies the rules, and learns from every claim.
Denials

$43B

Denials are won upstream, not in the appeal queue
41% of providers now run denial rates of 10% or higher. The value is preventing them at eligibility, registration and coding—connecting the front of the cycle to the back.
The fixed window

Jan 2027

Real-time, FHIR-native, on a deadline
Prior auth goes real-time and FHIR-native across every payer interaction. The operating system built now is what makes the deadline a non-event.

We don't add another tool. We re-architect the revenue cycle for AI and run it, so intelligence operates.

Proof in production

Real outcomes, inside real health systems

AI-and-automation-led revenue cycle, run to the number—across 600+ provider organizations, from critical-access hospitals to large health systems and physician groups.
Kairos the operating system

The operating system that turns intelligence into outcomes

It's the operating room around your agents: the harness, context, and sensors that give every AI system the memory, rules, and live signals it needs to act with the full picture, turning a capable agent into one that continuously compounds intelligence.

The operating system is the asset; agents change. Every claim and denial teaches the harness, so each new generation of AI inherits the intelligence you've already built.
05

AI-native operations: Agents

Run revenue cycle agents for coding, claims, prior authorization, and patient messaging using your systems, your tools, or ours.
04

Domain Intelligence: Domain Harness

The Domain Harness encodes what should happen through more than 900 payer-specific denial playbooks, coding guidelines for inpatient, outpatient, emergency department, and professional fee services, and HIPAA, OIG, and CMS guardrails. These are deployed as executable skills and promoted only after passing quality gates.
03

Organizational context: Intelligent Context Framework (ICF)

The ICF captures what happened by carrying patient journey, claim history, and payer behavior across every interaction. It preserves decision traces and peer benchmarks in real time.
02

Operations intelligence: Sensors

Operations Intelligence captures what's happening in flight through process mining, conversation intelligence, and document intelligence. It flags denial risk, eligibility drift, and rework loops before they cost you.
01

Systems of Record

Your EHR and core systems are connected through FHIR, HL7, and X12 within your cloud, including your VPC, IAM, and data residency requirements. They are read from, not replaced.
What we engineer for providers

From the EHR to the cash—the whole revenue cycle, connected

Where we put technology to work across the revenue cycle — each powered by a Tech Services capability, and each behind a provider solution you can run.

EHR & systems-of-record integration

FHIR R4 | HL7 v2 | X12 | runs in your VPC
We connect your EHR and core systems—and the AI across them—into one operating system that runs inside your cloud, so nothing lives in a silo.

Operations intelligence & sensors

doc intelligence on charts, EOBs, 835/837
We use process, task, conversation, knowledge and document intelligence to read denial triggers, eligibility drift and should-vs-did gaps in flight, so risk is caught before the claim leaves the queue.

RCM decision intelligence

900+ payer playbooks | IP/OP/ED/ProFee
We encode 900+ payer-specific denial playbooks, coding guidelines and compliance guardrails as executable skills your agents inherit on day one.

Agentic RCM workflows

patient access → coding → claims → denials
We orchestrate eligibility, prior authorization, coding assist, denial classification and auto-appeals across specialist agents and humans end to end, so AI works inside the workflow, not beside it.

Patient access and financial experience

prevent denials before the first claim
We connect eligibility, authorization, registration, pre-service estimates and financial conversations into one patient-access intelligence layer that prevents denials at the front door.

Governed autonomy for regulated RCM

HIPAA · OIG · CMS · 501(r) · audit-ready
We architect HIPAA, OIG, CMS, 501(r) and HITECH principles into every layer, with audit-ready decision traces by design and autonomy earned only after proof.
The provider solutions this powers
The technology above runs behind our provider revenue-cycle solutions. Explore the ones built for your operation:
Patient Access
Revenue Recovery
Revenue Integrity
Coding & CDI
Denials Management
Consulting & Advisory
Where the value compounds

50 AI efficiency pathways, from access to resolution

The added value shows up as cross-module pathways—each one connecting a signal in one stage of the revenue cycle to a better decision in the next. Together they span patient access, revenue integrity and resolution, and every pathway compounds as the environment learns.

Denial prevention | 10 pathways

FHIR R4 | HL7 v2 | X12 · runs in your VPC
Front-end and mid-cycle signals stop denials before they happen—eligibility, prior auth, registration quality and coding accuracy feeding denial prevention downstream.

Revenue integrity | 10 pathways

+3–5% Case Mix Index | >96% clean claim | >98% coding compliance
CDI, coding, charge and audit reinforce each other—cleaner claims, complete charge capture and compliant coding, with leakage stopped before the bill goes out.

Process automation | 12 pathways

−40% verification time | <35 A/R days | >99% demographic accuracy
Sequential cross-module automation from scheduling through claims—verification, eligibility, registration and A/R handled straight-through.

Continuous improvement | 10 pathways

>20% coding-denial reduction | self-correcting auth & eligibility
The compounding flywheel—what denials and recovery learn flows back to update eligibility, auth and coding rules upstream, so the operation self-corrects.

Patient financial experience | 8 pathways

+25%–30% self-pay collections | >12% bad-debt liquidation
Propensity, charity screening, counseling and pre-service outreach route each patient to the right financial path—bad debt avoided at source, not chased later.
Trust & Compliance

Governed autonomy. By design.

Autonomous AI in the revenue cycle is only as trustworthy as the governance around it. Compliance, accountability, and transparency are architected into the operating system from the start, not bolted on after deployment. Every agent action, regardless of who built the agent, operates under the same rules.
HIPAA · HITECH
HIPAA · HITECH
SOC 2 Type 2
SOC 2 Type 2
ISO 27001
ISO 27001
HITRUST
HITRUST
OIG · CMS · 501(r)
OIG · CMS · 501(r)
Compliance, architected in
Compliance, architected in

Rules at the moment of action

Every agent action is governed by HIPAA, OIG, CMS, TCPA and 501(r)—applied at execution time inside the workflow, with patient data handled under HIPAA/HITECH and your data-residency controls at every layer.
Decision traceability
Decision traceability

Audit-ready by design

Decision traces log every action, actor and piece of evidence, and every AI recommendation surfaces the reasoning and data that drove it—reconstructable for an auditor, by design.
Progressive trust
Progressive trust

Autonomy that’s earned

Work shifts from humans doing it, to humans overseeing it, to running autonomously, only once trust and performance are proven, with skills promoted to production after passing eval thresholds.
full-stack operator

Intelligence That Operates

Where it starts
Where it starts

RCM diagnostic

Most engagements start with a discovery workshop that frames the value at stake across the revenue cycle before anything is built.
The signal
The signal

Sensor and operations intelligence

The process mining and document intelligence that flag denial risk and eligibility drift before the claim leaves the queue—the signal behind every next-best action.
The judgment
The judgment

Domain harness engineering

900+ payer playbooks, coding guidelines and compliance guardrails encoded as executable skills your agents inherit on day one.
The models
The models

The models themselves

The coding, denial and propensity models behind the work—selected, fine-tuned and evaluated on your data as your data services partner.
How WE Engage

Transform, implement, and operate

We design, build and operate agentic revenue-cycle operations as a single motion—and put commercial skin in the game, not just delivery SLAs.
Transform

Redesign the operating model

Discover, envision and design—operating models, workforce structures, commercial constructs and KPI frameworks, with the value at stake framed before anything is built.
Implement

Build to production, not demo

Connect your systems of record, encode payer and coding intelligence into the harness, and build AI workflows to production standard.
Operate

Run it to the outcome

Human + AI operations with governed autonomy and outcome-linked commercials—90%+ of our engagements run on success-fee, so we carry the risk and you pay for the result.

Good questions to start with

How is this different from the AI already in our systems, or a point tool?

We don’t compete at the agent layer. The agents in your systems—and any point tool—do the task; we build the operating system around them: the harness that applies payer-specific rules, the context that carries memory across the claim, and the sensors that feed every outcome back. That’s what makes a capable agent a compounding one, across the operations a single agent never sees—and every new agent you adopt walks into intelligence you’ve already built.

How do we start without disruption?

A 4-week engagement, read-only and parallel-run—no write-back to your systems, no PMO load, out of the implementation team’s critical path. It captures a clean operations baseline, designs the operating system on your real workflows, and ends with a 90-day roadmap and a CFO-ready commercial model. Fixed fee, creditable to what comes next.

How do you keep AI in the revenue cycle compliant?

Governance is architected in, not bolted on. Every agent action runs under HIPAA, OIG, CMS, TCPA and 501(r) at execution time; decision traces are audit-ready by design; and agents earn autonomy progressively, promoted to production only after passing eval thresholds.

Do you build the AI models yourselves?

We don’t build foundation models from scratch. We select, fine-tune and evaluate domain models on your data—the coding, denial and propensity models behind the work—as your data services partner (see AI Data Services), and orchestrate the models you already run inside the operating system.

What does an AI operating system mean for the revenue cycle?

It means your coding, denials and patient-access agents act on one patient-and-account context, your encoded payer rules, and live signals—run to the cash, not as disconnected tools. That’s what lets AI run the revenue cycle dependably and compound as your own intelligence.
INSIGHTS

Latest from the Firstsource team

Insights from the field, real operations, real outcomes, and perspectives from the people making it work in live operations.
Intelligent automation revolutionizing healthcare patient management
BLog

Intelligent automation revolutionizing healthcare patient management

How intelligent automation is revolutionizing healthcare patient management—from scheduling and eligibility to billing and clinical documentation.
How to use technology to accelerate customer experience
BLog

How to use technology to accelerate customer experience

How organizations can use technology to accelerate customer experience transformation—from AI-powered self-service to intelligent routing and real-time.
3 ways automation can optimize small balance collections
BLog

3 ways automation can optimize small balance collections

Three ways automation can optimize small balance collections by reducing cost-to-collect and improving recovery rates.
Leading U.S. health insurer cuts training development time by 50% with AI-powered instructional design
Case Study

Leading U.S. health insurer cuts training development time by 50% with AI-powered instructional design

Learn how a top US health insurer used AI-powered instructional design to cut training development time by 50%, reduce SME effort, and learning
$12M+ revenue unlocked and 800K charts cleared for a leading U.S. health system
Case Study

$12M+ revenue unlocked and 800K charts cleared for a leading U.S. health system

Learn how AI-powered autonomous coding helped clear 800K chart backlog, unlock $12M+ revenue, reduce denials, and restore coding turnaround for a leading U.S. health system.
Achieving a ∼99% first pass ratio and $1.9M cost reduction through AI-enabled radiology RCM
Case Study

Achieving a ∼99% first pass ratio and $1.9M cost reduction through AI-enabled radiology RCM

Learn how AI-enabled radiology RCM helped a leading U.S. billing company achieve a 99% first pass ratio, reduce cost-to-collect by $1.9M, and scale operations efficiently.
CONTACT US

See where AI changes your cost and risk first

Start with a diagnostic across mortgage, lending, cards and fraud. We’ll frame the value at stake—and the first operation to re-architect—before you commit to anything further.