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Intelligent RCM. The closed loop revenue cycle was missing.

Pre-submission review and denial recovery as one closed loop, on one Operating System. Start with an RCM assessment to see where your revenue is leaking today, and what it's worth to fix.

The problem

The playbook you've been handed.

Healthcare has been trained to buy RCM the same way for decades. It makes sense on paper. It falls apart in practice.

By the time it's all stood up, you don't have a strategy. You have a Frankenstein stack that requires an IT army just to keep the pieces talking.

Here's where it breaks: the fragmentation is the business model. Every gap is a sale. Every failed integration is a services engagement. The vendor ecosystem is optimized for the buying of software, not the running of a revenue cycle.

  1. 01

    Find the gap.

    Prior auth too slow. Denials piling up. Coding inconsistent.

  2. 02

    Find the vendor.

    A point solution for each problem. A demo, a pilot, a contract.

  3. 03

    Stand it up.

    Build the integration. Train the team. Add the workflow.

  4. 04

    Repeat.

    For every gap. Every payer. Every year.

The real cost

It's not the software licenses. It's the organizational drag.

Every time a question spans two systems, someone files a ticket or exports to a spreadsheet. That is an operating model problem that point solutions have created — and then sell you more software to manage.

5–10%

of gross revenue denied annually.

Across payers, service lines, and facility types.

35–60%

of those denials never contested.

Written off because there is no bandwidth to fight them.

Preventable

Most claim failures.

Errors that could have been caught before the claim left the building.

The lightbulb

The picture never comes together because the pieces are from different puzzles.

There is a moment when it clicks. Organizations stop asking "which vendor covers this gap?" and start asking "why does the gap exist at all?" The answer is the same every time: data and decisions living in separate systems, stitched together by integrations nobody fully understands. The answer is not another vendor. It is a single Operating System where pre-submission intelligence and denial recovery operate as one closed loop.

Engine 01

Pre-submission review.

Catch the error before the claim ships.

Closed loop

Engine 02

Denial & appeals recovery.

Recover revenue, then prevent the repeat.

Each denial recovered feeds back to pre-submission so the same error does not repeat.

Pre-submission review · 9 domains

Catch it before it leaves the building.

Claims evaluated across nine domains. Findings go to your reviewers with suggested corrections. Your clearinghouse stays yours.

  1. 01

    Claim ingestion.

    File receipt, SFTP confirmation, duplicate detection.

  2. 02

    Structural validation.

    X12 ISA/GS/ST, TA1/999 acknowledgment, normalization.

  3. 03

    Claim integrity.

    NPI, ICD-10/CPT/HCPCS, NCCI edits, modifier logic.

  4. 04

    Coverage and authorization.

    Eligibility on DOS, authorization validity, referral, COB order.

  5. 05

    Medical necessity.

    ICD-10 to CPT mapping, LCD/NCD, plan-specific criteria.

  6. 06

    Clinical documentation.

    Doc present, E&M criteria met, indicators support DX.

  7. 07

    Coding intelligence.

    Modifier necessity, global surgical period, undercoding flags.

  8. 08

    Policy and denial risk.

    Payer policy lookup, exclusions, denial risk score (0–100).

  9. 09

    Human review.

    Reviewer accepts, modifies, or overrides. Corrected artifact returned after approval only.

Denial & appeals recovery · 9 phases

Recover the revenue your current stack lets walk out the door.

ERA 835 ingested. Scored. Evidence assembled. Appeal packets reviewed and approved. Every recovered denial feeds back to pre-submission.

  1. 01

    Denial intake.

    ERA 835, portal exports, PDF letters normalized. CARC/RARC classified.

  2. 02

    AI scoring.

    Financial impact, win probability, deadline urgency. Highest-recovery cases first.

  3. 03

    Evidence research.

    Clinical docs via FHIR/EHR. Payer policy validated. Gaps flagged.

  4. 04

    Appeal drafting.

    CARC/RARC-grounded letter generated. Specialist reviews. Supervisor approves.

  5. 05

    Submission.

    Portal, 837 corrected claim, 275 attachment, or fax — after human approval.

  6. 06

    Monitoring.

    SLA tracking, auto-escalation on breach, follow-up automation.

  7. 07

    Outcomes.

    Appeal results captured. Financials reconciled. Underpayments flagged.

  8. 08

    Analytics.

    Denial trends, payer behavior insights, productivity tracking.

  9. 09

    Feedback loop.

    Root cause fed back to pre-submission. Each denial makes future claims smarter.

How this is different

Four things your current stack cannot give you.

The loop is closed.

Every denial recovered teaches pre-submission review to prevent the same error next time. The two engines make each other smarter. Your current vendors can't do this — they don't talk to each other.

One Operating System, full lifecycle.

Claim ingestion through outcome reconciliation. No point-solution stitching. No new integrations to maintain. No IT tickets every time a question spans two systems.

Your team makes the call.

Reviewers see exactly how every recommendation was reached and make the final decision. Override decisions are logged and improve future accuracy. AI handles the preparation. Your people apply the expertise.

Your systems stay yours.

PM/EHR stays the system of record. Clearinghouse stays the submission path. Nothing moves without human approval. No rip-and-replace. No parallel infrastructure to manage.

Enterprise governance

Every decision, explained. Every action, logged.

Healthcare needs to be able to stand behind every decision. Penguin Ai surfaces the reasoning behind every recommendation so your team can verify and sign off. Full audit trail. Every action, actor, and timestamp logged. Regulatory review-ready at all times.

  • The Glassbox

    Every recommendation surfaces the reasoning behind it. Your team can verify and stand behind every decision.

  • Full audit trail

    Every action, actor, and timestamp logged. Regulatory review-ready at all times.

  • Human in the loop

    Ai Workers handle the preparation. Your reviewers apply expertise and make the final call.

  • Continuous learning

    Every recovered denial and reviewer correction strengthens future recommendations across both engines.

The next time someone hands you an RCM stack with a dozen logos and calls it a strategy, ask: who is this architecture actually serving?

You should be asking what this delivers for patients waiting on authorizations and providers buried in denials — this week.

See it in action

Show us the worst part of your revenue cycle.

A Penguin Ai specialist will walk through exactly how the closed loop runs against your denials backlog and pre-submission gaps — with your data.