The credentialing & compliance platform that swallowed the spreadsheets.
One central repository for every provider and practice document. AI reads each upload, extracts the expiration date, classifies the type. Five live exclusion-list verifications run on every provider. Multi-tier deadline alerts fire at 90, 60, 30, 14, 7, 5, 4, 3, 2, 1 days. The application story shown here: a multi-state consultancy with forty active practice-launch projects and three hundred maintenance clients, who replaced eighty-row Excel sheets per project with the platform.
A platform for the messy paperwork side of RCM operations.
We built a credentialing & compliance platform for healthcare operations teams. The platform centralizes every provider document and practice document an RCM operation handles: licenses, DEA registrations, NPIs, CLIA certificates, malpractice riders, business licenses, articles of incorporation, payer applications, contracts. It reads them with AI. It tracks expirations in 10 tiers. It runs five live exclusion-list verifications on every provider. It drafts the follow-up emails. It logs every action for audit.
Eleven production AI features. Five live verification sources. Forty-one standard document types. Multi-tier expiration alerts at 90, 60, 30, 14, 7, 5, 4, 3, 2, 1 days. Bidirectional CAQH integration in active development with CAQH for Q3 2026.
This case study walks the platform through one of its strongest applications: a multi-state consultancy that helps physicians start new medical practices, then carries those practices through credentialing, contracting, and ongoing compliance. The consultancy ran the work in scattered Excel sheets and SharePoint folders before. The platform consolidated it, automated the deadlines, and caught the penalties before they hit.
The same platform applies to any RCM operation that lives downstream of expirable documents: billing services orgs managing payer panels for multi-practice groups, hospital systems running rolling re-credentialing, MSOs onboarding new provider acquisitions. The application here is one of many.
Forty active practice launches. Eighty line items each. One Google Sheet per project.
The team built a standard template for every new practice. The template was good. The execution medium was Excel. The reminders were calendar invites people muted. The penalty bills were quarterly.
One central repository. AI on every document. Bots that watch the deadlines.
The platform takes a new-practice intake, runs it through a six-phase workflow, and tracks every document from upload to expiration. AI reads the documents, extracts dates, classifies types. Verification services check exclusion lists in the background. Notifications fire on a schedule.
Every project. Every phase. Every line item. One view.
Upload the PDF. AI reads it. Expiration tracked. Penalty avoided.
Five exclusion lists. Five payer directories. One verification page.
~5 FTE saved. ~$240K penalties prevented. ~$1.4M annual financial impact.
In their own words.
Three executive vantage points on the same engagement. The CEO who signed it. The COO who owned the rollout. The Credentialing Director who lived in the spreadsheet for five years.
Open the spreadsheet that's costing you the most penalties. We'll automate it.
A 30-minute call to walk one practice-launch workflow or one credentialing case. If the build math works, we scope the sprint. If it doesn't, you've spent 30 minutes and you understand your own paperwork tax better than you did this morning.
Book a Working SessionEvery document. Every phase. Every expiration tracked.
The platform ships with a built-in taxonomy covering the document types every practice-launch and credentialing case needs. Each type has its own expiration logic, its own renewal cadence, and its own AI extraction profile.
Twenty types shown. Forty-one document types ship in the standard taxonomy. Custom types added per tenant via configuration, not code.
Eleven AI features in production today.
Hybrid Bedrock architecture. Amazon Nova Micro and Nova Lite for cost-efficient tasks (chat, note transformation, placeholder extraction). Claude Haiku for high-accuracy extraction with citation verification. RAG via FAISS over platform documentation. Every AI call is rate-limited, audit-logged, and built to HIPAA requirements.
All AI calls audit-logged with action / tokens / model / cost. Per-user rate limiting (20 req/min). Citation verification on every extraction call.
Five verification sources live. Three PDU surfaces tracked.
Verification is the regulatory backbone. Every new provider runs through five exclusion / registry checks. PDU (Provider Directory Updates) is the payer-facing surface: keeping CAQH, Medicare PECOS, Availity, and direct-payer panels in sync with the platform's source of truth.
PDU · Provider Directory Update Integrations
What the platform tracks at each phase.
Every active practice-launch runs the same six-phase template. The platform ships with the line items pre-loaded; coordinators check off, upload documents, and let the verification engine + alert engine + AI extractors do the rest.