5–10%
of gross revenue denied annually.
Across payers, service lines, and facility types.
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
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.
01
Find the gap.
Prior auth too slow. Denials piling up. Coding inconsistent.
02
Find the vendor.
A point solution for each problem. A demo, a pilot, a contract.
03
Stand it up.
Build the integration. Train the team. Add the workflow.
04
Repeat.
For every gap. Every payer. Every year.
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.
The lightbulb
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
Catch the error before the claim ships.
Closed loop
Engine 02
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
Claims evaluated across nine domains. Findings go to your reviewers with suggested corrections. Your clearinghouse stays yours.
File receipt, SFTP confirmation, duplicate detection.
X12 ISA/GS/ST, TA1/999 acknowledgment, normalization.
NPI, ICD-10/CPT/HCPCS, NCCI edits, modifier logic.
Eligibility on DOS, authorization validity, referral, COB order.
ICD-10 to CPT mapping, LCD/NCD, plan-specific criteria.
Doc present, E&M criteria met, indicators support DX.
Modifier necessity, global surgical period, undercoding flags.
Payer policy lookup, exclusions, denial risk score (0–100).
Reviewer accepts, modifies, or overrides. Corrected artifact returned after approval only.
Denial & appeals recovery · 9 phases
ERA 835 ingested. Scored. Evidence assembled. Appeal packets reviewed and approved. Every recovered denial feeds back to pre-submission.
ERA 835, portal exports, PDF letters normalized. CARC/RARC classified.
Financial impact, win probability, deadline urgency. Highest-recovery cases first.
Clinical docs via FHIR/EHR. Payer policy validated. Gaps flagged.
CARC/RARC-grounded letter generated. Specialist reviews. Supervisor approves.
Portal, 837 corrected claim, 275 attachment, or fax — after human approval.
SLA tracking, auto-escalation on breach, follow-up automation.
Appeal results captured. Financials reconciled. Underpayments flagged.
Denial trends, payer behavior insights, productivity tracking.
Root cause fed back to pre-submission. Each denial makes future claims smarter.
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.
Claim ingestion through outcome reconciliation. No point-solution stitching. No new integrations to maintain. No IT tickets every time a question spans two systems.
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.
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.
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.
Every recommendation surfaces the reasoning behind it. Your team can verify and stand behind every decision.
Every action, actor, and timestamp logged. Regulatory review-ready at all times.
Ai Workers handle the preparation. Your reviewers apply expertise and make the final call.
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.