AI patient intake is the use of custom automation, intelligence, and workflow design to collect, validate, and route patient information accurately across the intake patient journey, reducing operational friction, improving compliance, and accelerating access to care at scale making it one…
Our custom autonomous AI agents reconcile ERAs, match EOBs, and detect underpayments without manual intervention, engineered around your payer mix, contract rates, and adjudication rules from the ground up.
Payment Posting Intelligence Engineered by RCM Domain Experts.
At CaliberFocus, we build Payment Posting AI agents that do what manual reconciliation can’t, match every ERA and EOB simultaneously, detect underpayments against contracted rates in real time, and feed reconciliation intelligence back upstream without a posting queue. Our RCM domain expertise is encoded into every matching decision, variance flag, and reconciliation workflow the agent executes.
This isn’t generic automation applied to payment posting. It’s reconciliation intelligence built by teams who understand payer remittance behavior, contract variance patterns, and the downstream revenue impact of every unposted payment.
What the Payment Posting AI Agent Does
Post Every Payment Accurately. Catch Every Underpayment Before It Disappears.
Automated ERA & EOB Reconciliation
Before a posting team touches a remittance, the agent matches every ERA and EOB against the original claim, reconciling payments automatically and flagging discrepancies without manual intervention.
Match ERAs and EOBs against submitted claims automatically
Identify posting discrepancies and remittance mismatches in real time
Reconcile secondary payer payments and coordination of benefits instantly
Contract Variance & Underpayment Detection
The agent validates every payment against contracted rates, detecting underpayments, short pays, and contract variances the moment remittance arrives, before they age into write-offs.
Validate every payment against payer-specific contracted rates
Flag underpayments and short pays before they reach the write-off queue
Identify systematic underpayment patterns by payer and procedure code
Denial & Adjustment Categorization
When adjustments and denials arrive with remittance, the agent categorizes them instantly by root cause, routing each to the correct resolution workflow without manual triage.
Categorize payment adjustments and denials by root cause at intake
Separate contractual adjustments from actionable denials automatically
Route each category to the correct downstream resolution workflow
Payment Intelligence & Upstream Prevention
Every posted payment feeds back into the agent’s decision logic, building payer-specific payment intelligence that adjusts upstream coding, claims, and prior auth behavior to prevent recurring posting issues.
Identify recurring payment patterns by payer, procedure, and provider
Feed reconciliation intelligence upstream into claims and coding workflows
Reduce future posting exceptions as the agent learns payer remittance behavior
94
+
Automated ERA and EOB reconciliation rate without manual posting intervention
68
%
Faster payment posting turnaround replacing manual remittance processing
25
%
Fewer days in A/R through autonomous prioritization logic
We build and deploy custom RCM AI agents governed by your payer rules, CMS regulations, and specialty workflows, no generic automation, no rip-and-replace.
Every remittance gets reconciled
Automatically matches every ERA and EOB against the original claim, ensuring payments are reconciled accurately without a posting queue slowing the cycle.
Underpayments caught before write-off
Validates every payment against contracted rates in real time, flagging short pays and contract variances before they age past the point of recovery.
Remittance patterns drive intelligence
Replaces manual exception identification with dynamic, payer-specific payment intelligence, acting on signals that predict systematic underpayment, not just individual discrepancies.
Posting teams focus on recovery, not entry
Routine ERA matching, EOB reconciliation, and adjustment categorization run autonomously, reserving posting staff for complex contract disputes and high-value underpayment recovery.
Case Studies
How does the agent handle remittances from payers that don't send standard ERA formats?
The agent is built to process both electronic and non-standard remittance formats, converting paper EOBs and non-standard files into structured reconciliation data without manual intervention or format dependency.
How does it detect underpayments against contracted rates?
High-risk appeals, contractual disputes, and complex clinical edge cases always retain human oversight. Agents prepare the decision with full context and defer execution when confidence drops. Right autonomy at the right decision point, not full autonomy everywhere.
What happens when a remittance doesn't match the original claim?
The agent identifies the discrepancy immediately, categorizes the mismatch by root cause, whether a payer adjustment, denial, or coordination of benefits issue, and routes it to the correct resolution workflow without manual triage.
Will this eliminate our manual posting team entirely?
No. The agent handles routine ERA matching, EOB reconciliation, and adjustment categorization autonomously, shifting your posting team from data entry to contract dispute resolution and high-value underpayment recovery where human judgment matters most.
How quickly will we see improvement in posting accuracy and underpayment recovery?
Most organizations see measurable improvement in posting accuracy within the first 30 days of deployment. Underpayment recovery compounds over time as the agent builds payer-specific remittance intelligence and identifies systematic contract variances across your full claims volume.
When patient data was summarized clearly, documentation felt less burdensome. With CaliberFocus, clinician satisfaction rose from 58% to 81% without changing how teams work.
Better documentation and fewer audit issues delivered real savings. With CaliberFocus, billing compliance improved to 98.6%, reducing risk while easing the burden on clinicians.
We gained clear visibility into student performance. Engagement rose, scores improved, and administrative effort dropped by nearly 30 percent, giving educators time to teach.
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