AI-RCM by ConnectAI, one connected revenue cycle from the note to payment - front desk, voice agents, coding, prior auth, charge audit, claims and denials.
AI-RCM
by ConnectAI™
One connected revenue cycle, built where the documentation is written.
AI-Powered Intelligent Care, Saving Lives!
“If anyone saved a life, it would be as if they saved the life of all mankind”
Revenue leaks one gap at a time
Denied claims from documentation gaps
Eligibility surprises, missed copays, unworked denials
Denied or reworked claims
11.8%
Manual eligibility & PA effort
60%
Unpaid patient balances
66%
Solution
AI on every step of the revenue cycle
AI-RCM
Built on ConnectAI. AI-assisted, human-approved, citation-backed.
Industry data: Kodiak Solutions 2024 (11.8% initial denial rate; 34.4% patient collection rate). CAQH Index 2024 (60% of medical prior auths not fully electronic).
AI-RCM works from the documentation AizaMD™ and RadioView.AI™ already write.
AizaMD™
Ambient clinical notes
RadioView.AI™
Radiology reports
THE HINGE
Clinical Documentation Integrity
Gaps caught while the note is still fixable
AI-RCM
One coded encounter: charges, authorization, claim, denials, patient balance, measure and learn
Every denial becomes a rule that prevents the next one
Shorter time to billing
Fewer denials to work
Faster appeals, evidence already attached
Better documentation. Better dollars. Less time.
Payers are automating their side of the claim too.
Nine modules. One connected flow from note to payment.
NINE MODULES
ONE ENCOUNTER, NOTE TO PAYMENT
Front Desk
Voice Agents
SuperBill & Coding
Prior Auth
Charge Audit
Claims
Denials & Appeals
Patient Billing
Intelligence
01 Clinical truth
02 Charges
03 Authorization
04 Claim paid
05 Denials
06 Patient balance
07 Measure & learn
The documentation half is already ours. AI-RCM builds the claim from the note AizaMD™ wrote.
Check-in to check-out, in one workflow
Guided check-in: identity, eligibility, copay Real-time eligibility checks (X12 270/271) Payer rejections translated into plain language Copay identified, walk-ins, same-day scheduling Live flow board with stuck-patient alerts
AI answers the phone so your staff doesn't have to
Routine calls handled Hard identity gate on patient-specific requests Live console: listen in, take over in one click Instant escalation, never clinical triage Containment analytics and budget guards
From the clinical note to a coded, claim-ready encounter
Superbill assembled straight from the note ICD-10, CPT/HCPCS, E/M, modifiers, HCC Issues flagged before finalize, with citations Copay and deductible pulled onto the encounter One click from superbill to 837 claim
Clear the payer before the claim ever ships
PA requirements detected from the order Citation-backed medical-necessity bundles Da Vinci pipeline from Required to Approved Evidence attached and sent as X12 275 Claims hold until auth status is known
Find the money the documentation already earned
Six finding types, from charges to HCC Citations and dollar impact on every finding Worklist sorted by dollar impact Documented vs billed, side by side Accept or dismiss, with a full audit trail
Build, scrub, submit. Fight back with evidence.
Claims Engine
Assembles and scrubs the 837, then submits in batch. Blocking edits hold the claim for human review.
Denial Intelligence
ML tags every denial with a root cause, a confidence score, and a next action.
AI-Drafted Appeals
Appeal packets cite the documentation and file via EDI. Outcomes and recovered dollars tracked per appeal.
Measure and learn. The cycle improves itself.
Live KPI strips on every worklist Overturned denials become new scrubber rules Staff approve every rule before it runs wRVU tracking with MGMA benchmarks MIPS measures and compensation modeling
Every worklist ships with its target on screen
≥95% First-Pass Acceptance (target) Claims Engine Scrub and hold before the payer ever sees it
≤72h Prior-Auth Cycle (target) Prior Auth Citation-backed bundles, submitted and chased
≥70% Call Containment (target) Voice Agents Routine calls handled without staff
≥50% Denial Overturn (target) Appeals Evidence-anchored appeals that recover dollars
≥85% SuperBill First-Pass (target) Coding Verified before finalize, every time
Product design targets.
savelife.ai/products/ai-rcm
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AI-assisted, human-approved. Your clinical data is not training data.
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