Promantra’s medical coding AI combines deep learning, NLP, and 20+ years of coding expertise to autonomously assign ICD-10, CPT, HCC, and HCPCS codes with over 95% accuracy reducing coding backlogs, eliminating revenue leakage, and accelerating reimbursements across every specialty and care setting.
Medical coding sits at the center of your entire revenue cycle and it is where most revenue is lost. With over 70,000 ICD-10 codes and 11,000 CPT codes updated annually by CMS and the AMA, the complexity of accurate coding has exceeded what manual processes can reliably handle. Up to 80% of medical bills contain errors, and 42% of all claim denials trace directly back to coding inaccuracies. For healthcare organizations still relying on manual coders alone, every chart that moves through your system carries financial risk.
ICD-10-CM alone added over 1,000 new billable codes in a single year. CPT codes undergo hundreds of additions, deletions, and revisions annually. Meanwhile, experienced medical coders are in short supply with AHIMA projecting a shortage of qualified coding professionals that is only widening. The result: backlogs grow, DNFB days spike, and revenue sits uncollected. AI medical coding was built to solve exactly this problem.
Undercoding leaves reimbursement on the table. Upcoding triggers audits and repayment demands. Unbundling errors generate denials. Incorrect modifiers cause payment delays. Each of these errors stems from the same root cause human coders processing too much volume at too high a complexity level. Promantra’s medical coding AI eliminates systematic errors by applying consistent, rules-based coding logic across every single chart.
CMS updates coding guidelines multiple times per year. OIG audits target practices with outlier coding patterns. Individual payer LCDs and NCDs add another layer of payer-specific rules that no single coding team can fully master. Promantra’s AI models are updated within 24 hours of every CMS, AMA, or payer policy release ensuring your coding is always current, always compliant, and always audit-ready.
Promantra’s medical coding AI platform is not a single-use tool it is a complete autonomous coding engine that handles every code set, care setting, and specialty your organization bills. From outpatient office visits to complex inpatient surgical episodes, our AI assigns accurate codes in real time and routes only the genuinely complex cases to your human coders.
Promantra’s NLP engine reads physician notes, discharge summaries, and clinical documentation to assign precise ICD-10-CM diagnosis codes and ICD-10-PCS procedure codes autonomously. Our models apply specificity requirements, laterality, severity hierarchies, and NCCI edits producing codes that are complete, compliant, and defensible at audit.
CPT coding requires interpreting complex procedure descriptions, applying correct modifiers, managing bundling rules, and assigning accurate E&M levels based on documented medical decision-making. Promantra’s AI handles all of these automatically reading clinical notes, detecting billable services, applying modifier rules, and assigning the correct E&M level based on AMA 2025 guidelines.
For Medicare Advantage and value-based care organizations, HCC coding accuracy directly determines RAF scores and capitated payment rates. Promantra’s AI identifies all documented HCC-qualifying conditions, verifies MEAT criteria are met, flags recapture gaps for chronic conditions like COPD, CKD, and diabetes, and maximizes Risk Adjustment Factor scores without overcoding.
HCPCS Level II coding for durable medical equipment, drugs, biologics, and supplies is frequently undercoded or miscoded generating denials that are time-consuming to appeal. Promantra’s AI automates HCPCS code assignment across all applicable claim types, applying payer-specific coverage rules and modifier requirements that manual coders regularly miss.
Accurate coding starts with accurate documentation. Promantra’s AI works as an integrated CDI engine analyzing physician notes before coding, identifying documentation gaps that would prevent accurate code assignment, and generating real-time queries to providers to clarify diagnoses, procedures, and clinical specificity. Better documentation produces better codes, higher reimbursements, and cleaner audits.
Not every organization is ready for full autonomous coding. Promantra also offers a computer-assisted coding (CAC) mode that presents AI-generated code suggestions to your existing coders for review and approval dramatically reducing per-chart coding time while keeping your team in control of every coding decision. It is the fastest path to AI adoption for organizations with established in-house coding departments.
Healthcare AI does not operate in isolation, it works across every stage of the patient financial journey. Here is how Promantra applies AI at each phase of your revenue cycle.
Front-End RCM : The revenue cycle begins at scheduling. Promantra's AI ensures every patient encounter starts with accurate demographic data, verified insurance coverage, and pre-service authorization.
Mid-Cycle : Between the clinical encounter and claim submission, AI reviews physician notes, suggests documentation improvements, and auto-assigns billing codes.
Back-End RCM : On the back end, Promantra's AI monitors claim status in real time, triages unpaid accounts by recovery probability, and automates denial appeals.
Denial Rate Reduction
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The value of an AI medical coding company is measured in two things: coding accuracy and revenue recovered. Promantra’s platform delivers on both with results that are measurable from the first billing cycle.
Promantra’s coding AI achieves over 95% accuracy on autonomously coded charts consistently exceeding the accuracy benchmarks of manual coding operations. Every code is traceable, every decision is auditable, and every chart coded by AI is backed by the same documentation standards your compliance team requires.
By autonomously coding 85–90% of your total chart volume, Promantra’s AI allows your human coders to focus entirely on complex cases, CDI queries, and compliance oversight reducing coding-related FTE workload by up to 70% without reducing coding quality or sacrificing human judgment on the cases that need it.
Manual coding backlogs are one of the primary drivers of Discharged Not Final Billed (DNFB) days and every DNFB day is cash flow your organization has earned but not yet collected. Promantra clients report coding turnaround times improving by 50% or more, with DNFB days dropping by as much as 50% within the first two billing cycles after deployment.
When evaluating AI medical coding companies, most buyers discover quickly that the market divides into two groups: pure technology vendors with impressive demos but shallow domain expertise, and RCM specialists who have genuinely embedded AI into coding workflows they have managed for decades. Promantra is firmly in the second group and the difference shows in our accuracy rates, our audit outcomes, and our client retention.
Promantra’s coding AI is not a general-purpose language model retrofitted for healthcare. It is a domain-specific model trained exclusively on clinical documentation, coding guidelines, payer policies, and real-world denial data across millions of processed charts. It understands the difference between a principal diagnosis and a secondary condition, between a surgical approach modifier and a laterality modifier because it was built by people who have coded these scenarios for two decades.
Generic AI coding models apply one-size-fits-all logic to every chart. Promantra trains separate models for each major specialty because radiology coding, cardiology coding, and oncology coding follow fundamentally different documentation patterns and payer rules. Specialty-specific models produce measurably higher accuracy than generalist platforms across complex, high-value encounters.
Promantra’s platform autonomously codes routine and semi-complex charts typically 85–90% of your total volume. The remaining 10–15% of genuinely complex cases are routed to our team of AAPC and AHIMA-certified coders for human review. This hybrid approach delivers the throughput of full automation with the accuracy assurance of expert oversight on every case that needs it.
Deep knowledge of specialty-specific coding, compliance requirements, and payer rules to maximize your reimbursements
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Healthcare data is among the most sensitive information in the world. Promantra’s healthcare AI solutions are engineered with security-first architecture, full HIPAA compliance, and independent certifications that give enterprise healthcare organizations the confidence to deploy AI at scale.
Every process within Promantra's AI platform; from patient eligibility checks to claim submission and payment reconciliation, it is governed by strict HIPAA-compliant protocols. Data flows are encrypted in transit and at rest, access is governed by role-based permissions, and all PHI handling follows the minimum-necessary standard. Your patients' financial and clinical information is protected at every step of the revenue cycle workflow.
Promantra holds ISO 27001 certification for information security management and ISO 9001 certification for operational quality standards independently audited and verified by BSI. These certifications are not compliance checkboxes; they are the operating framework for how we handle your data, manage risk, and maintain service quality. Enterprise health systems can deploy Promantra AI knowing it meets the most rigorous international standards.
Healthcare compliance demands more than accurate outcomes, it requires the ability to explain how those outcomes were reached. Promantra's AI models generate complete audit trails for every coding assignment, denial prediction, and eligibility recommendation made on your behalf. Your compliance and coding staff can review, approve, or override any AI decision ensuring your organization maintains full control and accountability over every revenue cycle action.
Our certifications and compliance standards ensure your revenue cycle operations meet the highest industry benchmarks for security, accuracy, and regulatory adherence.
Transitioning to AI-powered medical coding does not require a technology overhaul, a workflow replacement, or months of disruption to your billing operations. Promantra’s implementation is designed around your existing systems, your current coding team, and your revenue cycle timeline.
We begin by analyzing your current coding operation reviewing DNFB days, denial patterns, coder productivity benchmarks, documentation quality, and specialty-specific coding accuracy. This audit identifies exactly where AI will deliver the fastest and largest revenue impact for your organization before a single chart is touched.
Promantra configures specialty-specific coding models for your payer mix, documentation environment, and facility type then integrates our platform directly into your existing EHR and CDI systems. Your coders continue working in the same systems they know with zero disruption to your existing workflows.
Before full deployment, Promantra runs a parallel testing period comparing AI-assigned codes against your existing coding operation to validate accuracy on your specific documentation. We train your coding team on the AI workflow, establish escalation protocols for complex cases, and execute a phased go-live that protects your revenue cycle at every step.
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