Healthcare RCM services and software solutionsIndia delivery centre · global support

SAMG AI workflow

AI makes the signal clear.
People move the account.

SAMG applies AI-assisted validation, classification, routing, and prioritisation inside a workflow that remains accountable, reviewable, and human-led.

How it works

From activity data
to better next actions.

AI is not a black box beside the RCM process. It is an operational layer that helps the team understand what should be worked next, why it matters, and how outcomes are moving.

01

Detect

Coverage, charge, coding, claim, payment, and denial exceptions that deserve a closer look.

02

Prioritise

Organise A/R queues using agreed signals such as age, balance, payer response, filing risk, and denial category.

03

Guide

Bring the agreed work path, standard notes, and payer-specific playbook to the assigned team member.

04

Measure

Connect inventory, production, QA, collection movement, and denial trends in a live operating view.

The live operating view

A/R strategy with
clear KPI visibility.

Give leadership a connected view of operational performance, not a collection of disconnected reports.

InventoryA/R aging, balances, queue volume, and filing exposure
ProductionTouches, completions, workload movement, and ownership
QualityQA activity, rework patterns, and repeat exceptions
RevenueCollection direction, denial movement, and recovery opportunity

Human-led by design

AI identifies the signal.
Your team owns the outcome.

SAMG tailors rules, queues, quality checkpoints, and escalation paths to specialty needs, payer requirements, service mix, and volume.

Discuss AI workflow