How Kipu transforms manual revenue cycle processes into automated, intelligent workflows.
The average behavioral health facility loses 8-15% of collectible revenue to manual processes, documentation gaps, and timing delays. The problem isn't that billing teams aren't working hard—it's that they're fighting systems that weren't designed to work together.
Eligibility checks happen after intake. Authorization tracking lives in a spreadsheet. Claims get coded by hand from clinical notes that weren't written with billing in mind. Denials get discovered 45 days after the fact. And collections follow-up depends on whoever remembers to check the aging report.
Every one of those gaps is a revenue leak. And every one of them is automatable.
Six steps. End to end. Each one eliminates a manual failure point.
Automatic real-time eligibility verification at intake. Insurance benefits, coverage limits, and authorization requirements surfaced before the first clinical note is written. No manual phone calls. No fax machines. No surprises at billing.
Auto-triggered at registrationReal-time compliance checks embedded in clinical workflows. Documentation templates enforce payer-specific requirements at the point of care—before notes are signed, not after claims are denied. ASAM criteria alignment, medical necessity language, and concurrent review documentation built into the clinician's natural workflow.
Inline validation at point of careAutomated prior authorization submission with clinical documentation pre-attached. Concurrent review tracking with proactive alerts before authorization windows expire. No more missed authorizations turning into write-offs.
Auto-submission + expiry alertsClaims generated directly from the clinical record—no manual coding, no data re-entry, no handoff between disconnected systems. CPT/HCPCS code suggestions based on documentation content. Claim scrubbing catches errors before submission, not after denial.
Auto-coded from clinical notesPredictive denial risk scoring identifies claims likely to be denied before they're submitted. When denials do occur, root cause analysis traces back to the documentation source—not just the billing code. Pattern detection surfaces systemic issues across facilities, payers, and providers.
Predictive scoring + root cause analysisAutomated ERA/EOB posting with exception flagging. Patient responsibility calculation and statement generation. Aging-based follow-up workflows that prioritize high-value accounts. Real-time dashboards showing collections performance across all facilities.
Automated posting + intelligent follow-upSide-by-side comparison of manual processes versus Kipu automated workflows.
What automation actually delivers, measured across live implementations.
Up from 77% manual average
Down from 52 day manual average
Down from 18% manual average
Down from 12% manual average
Same platform. Different value story. How automation manifests by ownership type.
Board-ready dashboards updated in real-time. No more waiting for your biller's monthly report to understand revenue performance. EBITDA impact visible within 90 days.
Speaks to: margin expansion, board reporting, portfolio visibility
Scale census without scaling billing headcount. Automated workflows mean your 3rd facility runs the same optimized process as your 1st—without hiring another billing FTE.
Speaks to: unit economics, operational scalability, runway extension
Stop spending evenings worrying about billing. Automated eligibility, claim generation, and follow-up mean you can focus on patients, not paperwork.
Speaks to: peace of mind, control, personal time recovery
Every dollar recovered through automation goes back to mission delivery. Grant reporting data captured automatically. Compliance built into workflows.
Speaks to: mission alignment, grant compliance, financial sustainability
BH-specific automation that integrates with enterprise systems. Specialized workflows for concurrent review, group documentation, and residential billing—without disrupting system-level processes.
Speaks to: IT compatibility, BH specialization, margin contribution
42 CFR Part 8 compliance automated. Dispensing documentation, callback tracking, and take-home dose protocols built into the workflow. SAMHSA survey-ready documentation generated automatically.
Speaks to: regulatory compliance, audit readiness, dispensing accuracy
How data flows through the Kipu ecosystem, from clinical documentation to payer reimbursement.
Clinical Source of Truth
Generates:
• Clinical documentation (ASAM-aligned)
• Treatment plans & progress notes
• Patient demographics & insurance
• Concurrent review documentation
• Group session attendance
Automation & Intelligence Layer
Processes:
• Real-time eligibility verification
• Automated claim generation & scrubbing
• Prior auth submission & tracking
• Denial prediction & prevention
• ERA/EOB posting & reconciliation
Revenue Realization
Receives:
• Clean claims with documentation attached
• Prior auth requests with clinical support
• Concurrent review packages
Returns:
• ERA/EOB remittance data
• Denial reasons & adjustment codes
In legacy workflows, these three systems are disconnected. Clinical staff document in one place, billers re-enter data in another, and payer communications happen in a third. Every handoff is a potential error. Every re-entry is a potential delay. Kipu eliminates the handoffs by making the clinical record the single source of truth for the entire revenue cycle.
Start with the ICP Validation to identify your prospect's archetype, then explore the Discovery Template for the right conversation approach.
Every automation step maps back to a specific pain point surfaced during discovery. The workflow isn't a feature list—it's the answer to the problems your prospects describe when you ask the right questions.