The first 90 days after acquiring an RCM company are where a platform learns whether it bought a clean operation or a bundle of heroic spreadsheets.
Automation is tempting because the pain is obvious: denials, slow cash, payer follow-up, manual portals, staffing pressure, and inconsistent reporting. But if you automate on top of unclear data, you may just make the mess move faster.
Start by making the operation legible.
1. Name the real systems
List every system that touches claims, payers, providers, patient responsibility, prior authorization, eligibility, clearinghouse submission, denial work queues, payment posting, and reporting.
Then ask the uncomfortable follow-up: what else do people use when the official system is not enough?
Spreadsheets, shared inboxes, payer portal notes, local queues, and staff-owned trackers often contain the real operating truth.
2. Rebuild the acquisition baseline once
Pick the baseline metrics that matter, document how each one is calculated, and keep the source evidence.
Useful metrics usually include denial rate, clean claim rate, days in A/R, net collection rate, cost to collect, claim volume, payer mix, root cause distribution, and staffing levels.
The goal is not a perfect finance project. The goal is a baseline you can come back to six months later without re-litigating the math.
3. Put the core entities in one shape
Before advanced automation, make sure the basics can be joined and compared:
- Claims
- Payers
- Providers
- Patients or de-identified patient references
- Eligibility checks
- Prior authorizations
- Denial events
- Appeals
- Payments
- Staff capacity
- Work state
If two companies use different labels for the same payer issue, capture that difference. Do not flatten useful local knowledge too early.
4. Map who owns each work step
For each major workflow, write down the input, owner, system, exception path, evidence, timestamp, output, and where the data returns.
This is where many integrations break. A vendor may complete the task, but the platform still needs the result in a form it can compare and audit.
5. Pick the first automation target carefully
Good first targets tend to have high volume, clear rules, fast feedback, and a clean audit trail. Eligibility checks, prior authorization follow-up, claim scrubbing, denial classification, and appeal preparation can all be candidates.
The best choice depends on the acquired company’s actual bottlenecks. If the data is weak or the exception path is unclear, wait.
6. Decide what not to touch yet
Some workflows should stay local for a while. Payer relationships, specialty-specific rules, and high-judgment exception handling may need more observation before central teams change them.
The first 90 days should make the business easier to understand. That is the foundation for better vendor decisions, safer automation, and more credible operating reviews.