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AI-First Automated Medical Billing & Revenue Cycle Management

Connect claims, payments, denials, and A/R follow-up

CoOrdio Cycle is the AI-first revenue cycle platform purpose-built for mid-size provider organizations — automating claim scrubbing, payment posting, denial management, and A/R follow-up from a single intelligent system.

Trusted by leading healthcare organizations

Mountain Park Health Center
KMH Cardiology Centres
Borland Groover
Schweiger Dermatology Group
Burrell Behavioral Health
Preferred Family Healthcare
Compass Health Center
ARS Treatment Centers
Brightli
InfuSystem
Valley Oaks Health
Landmark Hospitals
Centerstone
Chapters Health System
Neighborhood Health
Family & Children's Services

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PP

"OpenBots has been an exceptional partner in automating and optimizing our revenue cycle operations. Their team understands healthcare workflows and collaborates closely with our operational leaders."

Priya Patel

SVP of Revenue Cycle

Capabilities

Coordinate work across the revenue cycle

Connect claim preparation, follow-up, payment reconciliation, and denial workflows.

Prepare & Review Claims

Review claims against configured payer rules, coding edits, and documentation requirements before submission.

Prioritize Follow-Up

Organize denial and A/R work based on payer, aging, value, workflow status, and configurable recovery signals.

Post, Reconcile & Resolve

Match remittance data, route posting exceptions, classify denials, and prepare supporting appeal materials within connected workflows.

Inside the Platform

See CoOrdio Cycle in action

CoOrdio Cycle — Billing Pipeline

Billing pipeline view connecting encounters, superbills, claims, posted payments, and patient statements.

CoOrdio Cycle — Smart Claims

AI-powered claim scoring with prerequisite validation — eligibility, prior auth, charge master pricing, and payer rules checked before submission.

CoOrdio Cycle — RCM Traceability

Follow patient revenue-cycle activity from encounters and superbills through claims, payments, and flagged exceptions.

How CoOrdio Cycle works

A connected process for claim review, monitoring, reconciliation, and follow-up.

1

Scrub & Submit

Claims are reviewed against configured payer rules and workflow signals before submission, with potential issues routed for attention.

2

Track & Monitor

Submitted claims can be monitored across configured payer and clearinghouse workflows, with status changes returned to the appropriate queue.

3

Post & Reconcile

Payment and remittance data are matched where possible, while exceptions are routed to staff with the available context.

4

Collect & Close

A/R worklists can be prioritized using configurable recovery signals, while denials are classified and routed into follow-up or appeal workflows.

See CoOrdio Cycle in action

See how Cycle can coordinate claim preparation, payment workflows, denials, and A/R follow-up within your existing operations.

Cycle FAQ

CoOrdio Cycle: common questions

What is CoOrdio Cycle?
CoOrdio Cycle supports revenue cycle operations with claim review, payment and remittance workflows, denial management, and prioritized A/R follow-up.
How does CoOrdio Cycle support denial prevention?
Cycle reviews claims against configured rules and documentation requirements before submission and routes potential issues for follow-up.
How does CoOrdio Cycle support collections?
Cycle organizes A/R work using payer, aging, value, workflow status, and configurable recovery signals so teams can focus their follow-up.
How does CoOrdio Cycle prioritize A/R follow-up?
Cycle’s AI prioritizes the A/R worklist by recovery probability, payer, aging bucket, and dollar value — so teams work the accounts most likely to be collected first, not simply the oldest.
How does Cycle support payment posting and reconciliation?
Cycle can match payment and remittance data, route exceptions with context, and connect the results to configured billing workflows.
Which billing systems does CoOrdio Cycle integrate with?
Cycle offers integration options for EHR, practice management, and billing systems. The approach depends on each organization’s technology and workflows.