Healthcare M&A integration usually focuses on legal, finance, HR, payroll, and credentialing, and those workstreams get detailed plans. Front-office operations, the part that drives patient access and revenue every day, often get a line item that says "standardize later." Later tends to become next year.
This playbook shows how to integrate front-office operations in the first 100 days using an AI operating system. For the diligence side, see our M&A diligence and integration guide and how to build an acquisition-ready platform.
Before Close: Days -30 to 0
- Confirm the target's EHR or PMS, phone system, and scheduling setup
- Capture a baseline: fill rate, no-show rate, recall status, new-patient volume, reviews
- Size the unused capacity and unscheduled treatment backlog
- Map the target's appointment types and providers to the platform's standards
Days 1-14: Connect
- Integrate the AI OS with the site's existing systems; no migration required
- Route after-hours and overflow calls to the AI workforce first, to protect access during the transition
- Add the site to the platform dashboard using the same metric definitions
Days 15-30: Standardize
- Switch reminders and confirmations to the platform cadence
- Turn on cancellation backfill and waitlist workflows
- Launch digital intake and review requests
- Train the local team on escalation paths and what the AI handles
Days 31-60: Recover Capacity
- Work the recall and reactivation backlog
- Follow up on diagnosed but unscheduled treatment
- Compare the site to the platform median and its own baseline
Days 61-100: Optimize and Report
- Tune local exceptions such as provider preferences and specialty-specific intervals
- Report outcomes against the deal model: recovered appointments, retention, cost per appointment
- Document what worked so the next acquisition starts faster
| Milestone | Typical integration | With an AI OS |
|---|---|---|
| Site in platform reporting | After a data project | Days 1-14 |
| Platform communication standard live | Months, if ever | Days 15-30 |
| Backlog and recall worked | Unowned | Days 31-60 |
| Results against deal model | Estimated | Measured by day 100 |
What Not to Do in the First 100 Days
Do not make PMS migration a prerequisite. System consolidation is disruptive and slow. Integrate operations first, migrate systems later.
Do not change everything at once. Protect patient access first, then standardize, then optimize.
Do not measure activity. Measure recovered capacity and outcomes against the baseline you captured before close.
How Samara Supports M&A Integration
Samara connects to the systems a new acquisition already runs, applies the platform's playbook through AIT, and brings the site into one data layer through AIP. Book a demo to walk through a 100-day plan for your next deal.
Frequently Asked Questions
How long does it take to integrate an acquired practice with an AI OS?
Most of the front-office integration can happen in the first 30 days: connecting systems, adding the site to reporting, and switching to the platform's communication standards.
Should we migrate the acquired practice's PMS first?
No. An AI OS works with the existing system, so operations can be standardized immediately while PMS consolidation follows on its own timeline.
What baseline should we capture before close?
Fill rate, no-show rate, recall status, new-patient volume, review volume and rating, and front-office cost, so improvement can be measured against the deal model.