RCM financial intelligence
See the moneybefore it arrives.
RCM could always tell you what already happened. It could never tell you what your CFO will actually collect.
Because Altair runs your entire revenue cycle, eligibility to payment, on the systems you already use, it can give your CFO the financial intelligence RCM never had: it forecasts collections, scores each claim's probability of payment, shows per-payer reimbursement, and flags every underpayment and why.
The financial picture, finally in focus.
Altair turns the work it does across your revenue cycle into the numbers your financial leaders actually need.
- 1
Forecast collections
Projects what you will collect and when, by payer, from your live claim pipeline and each payer's historical payment behavior.
- 2
Score probability of payment
Scores each claim's likelihood of being paid in full, denied, or appealed, so you see where the revenue risk is before it lands.
- 3
See per-payer reimbursement
Shows what each payer actually pays you, by code, against expected and contracted rates, so you know exactly who is paying and who is not.
- 4
Catch underpayments and why
Flags underpaid claims and the reason, so you recover what you are owed instead of quietly writing it off.
- 5
Know what denied and why
Full transparency into every denial, by payer and root cause, tied to the fix, so nothing disappears into a worklist.
- 6
Prove the business case
Ties every prevented denial back to the specific policy or edit that caught it, so you can show the return on the automation.
Works with everything you already run.
Altair runs on top of every EHR, practice-management system, and clearinghouse on the market, including yours. No rip-and-replace, no new software, no exceptions.
Runs the whole cycle: eligibility and benefits, prior authorization, medical necessity and documentation, payer-specific claim scrubbing, submission, claim tracking, remittance, autonomous denials, payer-specific appeals, and CFO-grade financial forecasting and underpayment detection.
66% of RCM leaders say their analytics cannot deliver CFO-grade revenue predictability.
The numbers leadership needs are not in the tooling, so revenue gets forecast by gut. Meanwhile 2 to 11% of revenue quietly leaks to underpayments that RCM tooling was never built to surface. Altair closes both gaps: it forecasts collections by payer, scores each claim's probability of payment, and shows you every underpayment, the payer, and the reason, tying every recovered dollar back to the action that found it.
Black Book Research, 2026. Underpayment range from industry analyses (HFMA and others), 2024-2025; rates vary by payer and setting.
Financial intelligence, answered.
What financial analytics does Altair give RCM leaders and CFOs?
Altair forecasts expected collections by payer and date, scores each claim's probability of payment, shows per-payer reimbursement against expected rates, flags underpayments and the reason, and gives full visibility into what was denied and why, with the business case for every denial it prevented.
Can Altair forecast our collections?
Yes. Altair projects what you will collect and when, by payer, from your live claim pipeline and each payer's historical payment behavior. It is forward-looking, not just a report of what already cleared.
How does Altair detect underpayments?
Altair compares what each payer actually paid against the expected and contracted amount, by code, and flags the gap along with the reason, so you can recover it instead of writing it off.
Is this a separate reporting tool we have to wire up?
No. The financial intelligence is built into the platform that operates your revenue cycle, not a bolt-on dashboard, so every forecast, probability, and underpayment flag ties directly to the work Altair did.
Is Altair HIPAA compliant?
Yes. Altair is HIPAA compliant. Review our security posture and controls in detail at our Trust Center.
How fast can we start?
Days. Altair connects to your existing EHR and clearinghouse, so there is no rip-and-replace and no new software for your team to run.