Atomic Build/Revenue Cycle

Turn claim processing from months into days with AI-native revenue cycle workflows

Atomic Build is a forward-deployed product and engineering team that finds the highest-leverage revenue cycle bottlenecks in your health system and ships AI workflows to fix them in weeks — not quarters.

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Revenue cycle teams are buried in manual claim processing — and every day a claim sits is cash your health system doesn't have.

Medical coders work from paper and PDFs. Billing staff manually code and submit claims to dozens of payers. Payment posting happens line-by-line in legacy billing systems. Denials bounce between clinical and billing teams with no clear ownership. The result: 40+ day cash conversion cycles, first-pass acceptance rates stuck in the 80s, and millions in revenue leaking through cracks.

Medical coding bottleneck
Coders manually review charts, assign ICD-10 and CPT codes, and query clinicians for missing documentation. Every claim waits for human review.
Manual billing submission
Staff re-enter claim data across multiple payer portals instead of submitting once. Formatting errors and missing fields cause rejections before they reach payer systems.
Slow payment posting
Remittance advice files land in inboxes. Finance staff manually match payments to claims, post adjustments, and reconcile discrepancies — a process that takes weeks.
Denial management chaos
Denials scatter across email, tickets, and spreadsheets. No clear triage process means avoidable denials slip through without appeal.
Compliance and audit risk
Lack of audit trails, missing documentation, and manual workarounds create compliance exposure and make payer audits painful.
Staffing scaling problem
Adding revenue cycle volume means hiring more coders and billing staff at 6-figure salaries, but the process stays broken and slow.

Revenue cycle optimization isn't about hiring more staff or buying another billing system. It's about automating the manual, repetitive workflows that keep claims stuck.

We embed a small product and engineering team inside your health system, map your claim lifecycle from chart to cash, identify the highest-impact bottlenecks, and ship production AI workflows to handle coding, submission, posting, and denial triage. Every workflow is built to run on real claims with real complexity.

Score the cash impact first
We quantify where claims are stuck, how much revenue is leaking, and where AI moves the needle fastest. Only then do we build.
Automate the manual, not the system
We layer AI on top of your existing billing system, EHR, and payer integrations. No rip-and-replace. Your data stays in place.
Ship against real claim volume
Every workflow is built and tested on live claims from your health system — not test data or staged scenarios.
Compliance is built in, not bolted on
Every AI decision is auditable, traceable, and documented. Coders and billing staff see AI reasoning and override when needed.
Your team stays in control
AI handles high-confidence coding, submission, and posting. Edge cases and denials route to humans with full context. You gain speed without losing oversight.
Cash flow improves in weeks
First AI workflow reduces processing time by 30–50% within 4 weeks. Each additional workflow compounds the improvement.

From claim bottleneck to production AI in six weeks

We start with an Opportunity Sprint to map your revenue cycle, identify the highest-impact workflow, then ship production AI against it in weeks.

Opportunity Sprint · Week 1
We shadow coders, billing staff, and finance leads. Map claim processing from chart to cash, measure where claims get stuck, and quantify the cash impact of each bottleneck.
Build scope and integration design · Week 2
We design the chosen AI workflow: data sources, integration points with your EHR and billing system, validation rules, human escalation paths, and success metrics.
Forward-deployed build · Weeks 3–6
Atomic Build engineers sit with your billing and coding teams and ship the AI workflow into production against your real claims, live integrations, and actual payer requirements.
Measure, operate, and compound · Week 7+
We monitor the workflow against agreed success metrics, support your team through ramp-up, and identify the next high-impact automation opportunity.

Relevant services

Most engagements combine three or four of these. Start with what hurts most.

Medical CodingBilling SubmissionPayment PostingDenial ManagementRevenue Cycle AnalyticsComplianceScore the cash impact firstAutomate the manual, not the systemShip against real claim volumeCompliance is built in, not bolted onYour team stays in controlCash flow improves in weeks

AI workflows we've built for health systems and provider organizations

Each workflow targets a specific bottleneck in the claim lifecycle. These are the patterns that move cash conversion cycle and first-pass acceptance rates fastest.

  • AI-assisted ICD-10 and CPT code assignment

    AI agent reads clinical charts, assigns codes with confidence scores, flags missing documentation, and presents coders with a pre-filled claim. Coders review and edit instead of coding from scratch.

    +35% coder throughput

  • Automated claim submission to payers

    Claims validated and formatted for each payer's requirements, then submitted via native integrations or secure portals. Formatting errors caught before submission.

    −42% submission rejections

  • AI-driven remittance matching and posting

    Automated parsing of remittance files, matching to claims, posting of payments and contractual adjustments, and flagging of underpayments for follow-up.

    −68% payment posting time

  • Denial triage and appeal automation

    AI agent classifies denial reason, identifies if appeal is viable, drafts appeal letter with supporting clinical evidence, and routes to appropriate team.

    −12% denial rate

When to talk to us

Some patterns we hear on the first call. If two or more of these are true, the conversation is worth having.

  • Coders manually review charts, assign ICD-10 and CPT codes, and query clinicians for missing documentation. Every claim waits for human review.
  • Staff re-enter claim data across multiple payer portals instead of submitting once. Formatting errors and missing fields cause rejections before they reach payer systems.
  • Remittance advice files land in inboxes. Finance staff manually match payments to claims, post adjustments, and reconcile discrepancies — a process that takes weeks.
  • Denials scatter across email, tickets, and spreadsheets. No clear triage process means avoidable denials slip through without appeal.
  • Lack of audit trails, missing documentation, and manual workarounds create compliance exposure and make payer audits painful.
  • Adding revenue cycle volume means hiring more coders and billing staff at 6-figure salaries, but the process stays broken and slow.

Let's Connect

Decide what is worth building first.

We start with an Opportunity Sprint to map your revenue cycle, identify the highest-impact workflow, then ship production AI against it in weeks.

Let's Connect →See use cases

What health system leaders ask before engaging

How do you handle payer-specific requirements and formatting rules?
During the build, we work with your billing team to map payer rules for claims submission, payment posting, and appeal logic. The AI learns your payer mix and adjusts formatting and validation rules accordingly. We also build monitoring to catch payer policy changes.
Will this replace our coding and billing staff?
No. Our workflows are designed to augment, not replace. Coders see AI-suggested codes and validate them. Billing staff review pre-populated claims before submission. AI handles high-confidence work so your team spends time on complex cases, appeals, and denials.
How do you ensure compliance and audit trail?
Every AI decision is logged with reasoning, confidence, and timestamp. All overrides are tracked. We design workflows to comply with CMS billing rules, HIPAA, and your internal compliance policies. Coders and billing staff maintain full authority to review, edit, and reject AI suggestions.
What data do you need to get started?
Access to a sample of recent claims in your EHR or billing system, payer submission specifications, remittance file examples, and denial history. We work within your data security and privacy policies — no data leaves your infrastructure.
How quickly will we see cash flow improvement?
The first workflow typically reduces claim processing time by 30–50% within 4 weeks. Cash conversion cycle improvements follow as claims clear faster. Exact timeline depends on which workflow you prioritize — coding, submission, or payment posting.
Do we need to change our EHR or billing system?
No. We build AI services that integrate with your existing systems via APIs or direct database access. Your EHR and billing system stay as system of record. AI layers on top as a new decisioning and orchestration layer.