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Best AI Workforce for MSO Operations: Staffing the Shared Services Center

Written by - Samara Strategy TeamLast Updated - October 6, 2026

An MSO's shared services center is staffed by people doing repetitive work for many practices. Here is how the best AI workforce for MSO operations takes on those roles, and how to design the human and AI team around it.

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Key Insight

MSOs staff their shared services center with AI agents for repetitive work, so the human team handles exceptions and practice relationships as affiliates are added.

Most MSOs centralize the same work: a call center, a scheduling team, a recall team, insurance verification, and reporting. Each of these teams grows roughly in line with the number of affiliated practices. An AI workforce breaks that link by taking on the repetitive work in each role.

For how an AI platform fits the MSO model, see best AI platform for MSO operations.

The AI Workforce, Role by Role

Shared services role Repetitive work AI agent
Call center agent Answering and routing calls AI receptionist, 24/7, every practice
Scheduler Booking across provider calendars AI scheduler writing into each EHR/PMS
Recall coordinator Working overdue lists AI recall agent, continuous
Intake and eligibility Forms and insurance collection AI intake agent before the visit
Reporting analyst Building monthly practice packs Live dashboards by practice

Designing the Human and AI Team

The AI workforce does not replace the shared services center. It changes what the people in it do.

  • AI handles volume: routine calls, bookings, confirmations, recall, and intake
  • People handle exceptions: complex scheduling, billing questions, upset patients
  • People own practice relationships: working with practice managers on performance
  • Clinical questions go to the practice: the AI routes them to the right clinical staff

Why This Matters for MSO Growth

When shared services headcount grows with every affiliate, MSO margin is capped. With an AI workforce, adding a practice mostly means configuring its rules and connecting its system, so the MSO can add affiliates without adding the same proportion of staff.

What to Require From an AI Workforce for MSOs

  • Multi-practice routing: each call and task goes to the right practice's rules
  • Multi-EHR/PMS integration: affiliated practices run different systems
  • Clear escalation: warm handoff to human staff with full context
  • Practice-level reporting: so the MSO can show each affiliate its results
  • Compliance: BAA, encryption, audit logs, role-based access

How Samara Supports MSO Operations

Samara AI Teams (AIT) provides the AI workforce across every affiliated practice, and Samara AI Platform (AIP) reports results by practice. See our medical MSO page or book a demo.

Frequently Asked Questions

What is an AI workforce for MSOs?

A set of AI agents that perform shared services roles, such as call answering, scheduling, recall, and intake, for every affiliated practice.

Does an AI workforce replace MSO staff?

It takes on repetitive work so staff focus on exceptions and practice relationships, and lets the MSO add practices without proportional hiring.

Does the AI make clinical decisions?

No. Clinical questions are routed to the affiliated practice's clinical staff.

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