BuddeePrivate Beta
Your EHR doesn't catch everything. We do.
Buddee runs quietly alongside your existing EHR — no new workflows, no integration project. It reads your clinical notes, flags suspected HCC coding gaps with source evidence, and drafts CMS-grounded prior authorizations. Every suggestion waits for a clinician before anything happens.
Try the interactive sandbox — ask anything in the chat below
Sandbox only. Nothing is written back to an EHR or submitted to a payer.
< 2 hrs
Targeted FHIR connection time (design goal)
0
Auto-billed claims — ever
100%
Suggestions reviewed by a clinician
Built on FHIR R4
Architected to read from major EHRs such as Epic and Cerner — read-only, never writes back
Zero Auto-Billing
AI recommends. Clinicians decide. Always.
Hash-Chained Audit Design
Designed to hash-chain every recommendation, approval, and rejection for tamper-evident traceability.
HIPAA-Ready Architecture
Designed for AES-256 at rest and TLS 1.3 in transit.
SOC 2 Type II (Planned)
On our compliance roadmap; not yet audited.
Three problems your team is probably living with right now
None of these are new problems. They've just gotten harder as encounter volumes rise and payer rules get more complex.
Chart review closes before anyone has time to cross-reference every note against the HCC list. The codes that get missed aren't wrong — they're just not there. And once billing closes, they're gone.
When CMS comes knocking, your team has to reconstruct the reasoning behind every billing decision from memory and scattered notes. A gap in the record can invalidate an entire encounter set.
Prior auth queues move at the speed of fax machines. Payer rules change faster than anyone can track manually. The delay isn't just administrative — it affects care.
Figures reflect illustrative published industry estimates for HCC under-capture, CMS audit timelines, and prior-authorization turnaround — not Buddee measurements. Your numbers will vary.
Buddee doesn't replace your revenue cycle team. It gives them a layer of signal they don't currently have — and a hash-chained record of that reasoning, designed to make audit prep far less painful.
How Much Revenue Are You Leaving Behind?
Based on CMS HCC v28 data. Adjust to your organization's scale.
Active billing providers across your network
Average annual patient encounters
Reimbursement currently captured per encounter
Estimated Annual Recovery Potential
$0
Per Provider
$0
Confidence
modeled
What Buddee actually does
Everything runs in the background. Your team only sees suggestions — not a new system to learn.
Shadow-Mode RCM
Per-encounter risk assessment
Generate Clinical Brief
Streaming summary from chart notes
Prior Authorization
Draft · Submit · Track
Draft prior authorization requests in seconds for clinician review before submission, designed to reference CMS coverage guidelines. Tracked through the full lifecycle: draft → pending → submitted → approved.
Audit Trail Design
Demo · SHA-256 hash-chain model
Security without the sales pitch
Security & Compliance
We design these controls because a healthcare AI without them isn't a serious product. PHI is designed to be encrypted in transit and at rest. Every model output waits for a clinician. The audit design captures every model output so it can be reviewed and queried.
Four steps. No new software to install.
Most AI billing tools auto-submit claims and hope nobody audits. Buddee inverts that — every recommendation waits for a clinician, and every event is designed to be traceable.
Legacy RCM Approach
- Auto-submits AI suggestions without clinician review
- No cryptographic record linking AI suggestions to billing decisions
- Requires EHR replacement or deep integration to deploy
- Requires months of implementation before showing any value
Buddee Approach
- Clinician approval required on every AI recommendation
- SHA-256 hash-chain design for audit events
- Shadow mode designed to run alongside FHIR R4 EHRs — no workflow rebuild
EHR / FHIR Ingest
Designed to accept standard HL7 FHIR R4 bundles from Epic, Cerner, and other compliant EHRs. Clinical notes and billed codes are designed to be transported over TLS and processed with per-tenant isolation by design.
Clinical Note Analysis
Large language model reasoning over clinical notes, grounded by a vector index of CMS HCC guidelines. Surfaces suspected coding gaps with direct evidence quotes from the chart, so each suggestion is designed to cite a source line from the chart for clinician review.
Safety Layer
Every AI recommendation routes through a clinician approval workflow. Buddee advises; clinicians decide. Approvals, rejections, and edits are designed to be captured in the audit trail.
Audit Log Design
SHA-256 hash-chained event model captures analyses, approvals, and submissions in the demo. Production deployments require durable append-only storage and verification tooling before audit claims are made.
Built for Every Stakeholder
Revenue cycle, compliance, and IT leaders each get the outcomes they're measured on — without making each other's jobs harder.
Turn Missed Codes Into Recovered Revenue
- Surface likely HCC gaps with confidence scores, evidence quotes, and modeled per-encounter recovery estimates
- Designed to reduce prior auth rework and AR-days without changing your EHR or coder workflow
- Track HCC recapture and write-off reduction with encounter-level reporting your CFO can audit
Trust by Design — Not an Afterthought
Buddee is being designed around queryable, human-reviewed audit events. The live page shows the audit model; production audit guarantees require durable storage and verification workflows.
Compliance FAQ
Ready to Recover the Revenue You've Already Earned?
Join the revenue cycle leaders evaluating Buddee to close HCC gaps, cut prior auth delays, and build hash-chained audit trails designed to support future regulatory review. We're onboarding our first cohort of 25 organizations so every team gets hands-on implementation support.
Be among the first 25 organizations receiving hands-on implementation support
Beta access is limited to 25 organizations while production controls are reviewed.
Free for qualified pilot partners
Run a shadow audit on your last 30 days of encounters
We analyze your recent encounters in shadow mode — no workflow changes, no billing impact. You get a revenue gap report. Keep it whether or not you move forward with us.
HIPAA BAA signed before any data is accessed.
Built for the Numbers That Matter
Modeled lift in HCC capture rate — the number we use in the recovery estimator. We'll replace it with real cohort data as pilots complete.
Auto-billed claims by design. Every recommendation is gated behind clinician sign-off before anything reaches billing.
Target time to deliver a revenue gap estimate sized to your encounter volume
These are modeled launch assumptions and product safeguards — not customer claims. We'll publish measured outcomes as our first cohort completes.
Product Proof
Capability statements below describe implemented product behavior, not customer testimonials.
HCC Gap Analysis - Per Encounter
Buddee reviews each clinical note against billed codes and surfaces suspected HCC/ICD-10 gaps with confidence scores and source evidence. Nothing reaches billing without clinician sign-off.
Hash-Chained Audit Design for Tamper-Evidence
Buddee is designed to write every recommendation, approval, and rejection to a SHA-256 hash-chained ledger so your compliance team can verify chain integrity rather than trust a black box. Durable, regulator-ready storage and verification tooling are on the roadmap, not yet certified.
CMS-Grounded Prior Auth Drafts
Prior authorization drafts are grounded in CMS Local Coverage Determinations and stay in draft state until your team reviews them. No auto-submission.
Design-partner introductions available to qualified, NDA-covered prospects as our early-access cohort onboards.
Built for mid-market health systems and physician groups — starting in the Bay Area
Designed for