The first billing workflow reaches production on the existing clinical and administrative system environment in approximately 45 days from contract signature. That timeline covers integration setup, payer ruleset configuration, and validation logic tuned to the specific billing environment. No system replacement or infrastructure modernisation is required as a prerequisite. Noxus Forward Deployment Engineering handles the integration setup; the first deployment is typically the highest-volume payer and procedure mix.

The workflow connects to the electronic health record, the practice management system, and the payer portal or clearinghouse used for claim submission. It operates on the systems already running in the environment through existing interfaces, including legacy platforms without modern API access. There is no API prerequisite and no dependency on the core system vendor's integration roadmap. If your team uses it today, Noxus can operate inside it.

Where documentation does not support a specific procedure or diagnosis code at the required level of specificity, the record is flagged at the extraction layer rather than passed forward with a code that will produce a denial. The flagged record escalates to a reviewer with the documentation gap identified, so the reviewer addresses a defined problem rather than re-examining the full record. The threshold for acceptable specificity is configured at deployment.

Yes. Payer identification runs from the encounter data, and the ruleset applied to each claim reflects the requirements of that specific payer. A single deployment handles multiple payers, with modifier rules, bundling requirements, documentation thresholds, and filing deadline constraints applied per payer rather than from a single generic billing standard. Adding a new payer to the same deployment runs at substantially lower incremental cost because the integration infrastructure is already in place.

Clean claims are submitted directly to the payer system without billing team involvement. Claims that fail pre-submission validation reach a reviewer with the specific validation failure identified, the relevant claim data assembled, and the payer requirement that was not met surfaced alongside it. The reviewer acts on a defined problem, not a denial reason code to interpret after the fact. Billing time shifts from rework to volume.

No AI system makes a coverage determination, a reimbursement decision, or a clinical coding judgment outside the configured rule parameters. Where pre-submission validation identifies a failure that requires clinical or billing judgment, the case escalates to a human reviewer with full context already assembled. The AI extracts and matches; the rules determine what is submitted; humans resolve what falls outside those rules.

The platform is certified against SOC 2 Type II, ISO 27001, GDPR Article 28, and HIPAA. Deployment options include fully managed SaaS, private cloud on the client's own infrastructure, and air-gapped on-premises for environments with strict data residency requirements. Clinical data does not leave the client's environment unless the deployment architecture requires it. Every action produces a complete, tamper-evident audit record. RBAC integrates with Azure AD or the client's existing identity system.

Pricing is a monthly platform license that scales with operational volume, not with headcount or per-claim consumption. The first engagement includes Deployment Engineering alongside the platform license to get the billing workflow into production. Subsequent payer rulesets and additional workflows added to the same environment run predominantly as platform spend, with the integration infrastructure already in place. The economics improve structurally with each new payer or service line deployed.

Traditional billing systems were built to assemble and submit claims, not to extract codes from clinical documentation, apply payer-specific rules in real time, and validate claims before submission. AI medical coding sits in front of the billing system and runs the work that determines whether the claim arrives clean. Automated medical coding eliminates the manual lookup loop between coder and payer rule. Autonomous medical coding takes that further: the AI assigns codes within configured rule parameters and humans review only the exceptions surfaced at validation, rather than every claim before it leaves the queue.

Most AI medical coding tools cover one slice of the workflow - code suggestion, claim scrubbing, or denial management - and leave the billing team to bridge the rest. Computer-assisted coding tools assist a human coder; modern clinical coding tools generate codes but stop before payer rules are applied. Noxus runs the full sequence on the systems already in the environment: clinical record retrieved, codes extracted and validated for specificity, payer identified, ruleset applied, claim validated before submission, exceptions routed with the failure reason identified. AI handles the unstructured documentation; deterministic rules execute the process logic.