Protect margin
Standardize repeatable work without turning every new account into another staffing plan.
RCM automation deployed in weeks
Put agents to work inside every client’s software.
Medex is an automation tool—not another billing platform. Its AI agents use your clients’ existing EHRs and PM systems like trained operators to handle coding and billing work across different accounts, specialties, portals, and SOPs.
Why billing companies use Medex
Scale revenue without recreating operations for every win.
A billing company rarely loses margin because its people do not know billing. Margin disappears in the seams: logging into five systems, re-keying source records, checking whether claims moved, comparing status files, rebuilding missing context, and escalating work without the evidence attached.
Medex puts AI agents on the repeatable work between those systems. The agents can ingest and normalize source data, perform validation and coding steps, prepare or write permitted records, reconcile states, and package denials or appeals for human review.
You do not need to replace an EHR, PM system, clearinghouse, portal, or client process. Medex is configured around the software and SOPs each account already uses, then writes results back where your team expects to find them. Depending on approved access, the agent can work through the software interface, an available API, or scheduled files.
Supported environments include Epic, athenahealth, Oracle Health/Cerner, eClinicalWorks, NextGen Healthcare, CollaborateMD, and ModMed. Access and permitted actions vary by customer environment; these names identify compatibility examples, not vendor partnerships.
The best first use case is usually a high-volume client account where manual touches, turnaround time, and exception rates are already measurable.
Absorb complexity
Configure around each client’s systems and rules instead of forcing every client into one template.
Free senior talent
Route unusual cases to experienced people with the record context and evidence they need.
What can be automated
Put agents on the work across coding, claims, and follow-up.
The exact scope is configured per account. A Medex workflow can cover one step or link multiple stages together:
- Source intake: collect encounter, patient, coverage, provider, facility, and documentation context.
- Coding: support code selection, evidence capture, configured validation, and quality review.
- Claim preparation: build the record required by the destination workflow and flag missing information.
- Writeback: place permitted data into an EHR or PM workflow with account-specific safeguards.
- Reconciliation: compare source and destination states to identify unbilled, missing, or mismatched records.
- Denials and appeals: classify issues, assemble supporting material, draft responses, and track exceptions.
| Approach | Best at | What still breaks |
|---|---|---|
| More manual staffing | Judgment and unusual cases | Capacity still scales with hiring, training, and handoffs |
| Point automation | One standardized task | Work between systems and teams remains manual |
| Medex agents | Doing configured work across existing client systems | Exceptions still require the right human owner |
Good-fit signals
When should a billing company consider AI RCM automation?
Medex is most useful when the work is operationally important, repeated at volume, and spread across systems. Strong signals include:
- A recent or upcoming client launch that will materially increase claim volume.
- Open operations, coding, billing, payment-posting, denial, or implementation roles.
- Multiple client EHRs or PM systems and a growing library of account-specific SOPs.
- Backlogs, aging reconciliation queues, or senior staff performing routine data movement.
- A need to improve turnaround without selling the customer on offshore labor arbitrage.
How a first workflow goes live in weeks
Choose a queue with a stable input, a clear expected output, known exception owners, and a measurable baseline. Medex maps the SOP and system actions, configures the agent, validates it in parallel with the current process, and expands only after output and controls are accepted. Exact timing depends on access, workflow complexity, and validation requirements.