Executive Training Program

Agentic AI Training for Health System Leaders

A hands-on, cross-functional program custom designed for healthcare leaders. Delivered to your system, built on your operation.

67%
of providers believe AI can improve claims
14%
are actually using it, and the gap is the opportunity
$48B+
in revenue losses from denials and uncompensated care in 2025
Why Health Systems Struggle

The belief is nearly universal. The capability is rare.

Most health systems know agentic AI matters, but few have equipped their leaders to act on it. In Experian Health’s 2025 State of Claims survey, 67% of providers said they believe AI can improve the claims process, yet only 14% are using it.

$48 billion

in revenue losses from denials and uncompensated care across ~2,300 hospitals in 2025, up from $38.6 billion the prior year. (Kodiak Solutions, 2025)

“41% of providers face claim denial rates of 10% or higher, a figure rising every year since 2022.”
Source: Experian Health, 2025 State of Claims
“Reworking a single denied claim costs between $25 and $181 in staff time and overhead.”
Source: Industry data
“Hospital bad debt and charity care are up roughly 10% year over year and ~40% above 2022 levels.”
Source: Kaufman Hall, 2025

The technology to address this exists. What most organizations lack is a leadership team equipped to deploy it, model its economics, and align behind a plan. That is what this program builds.

Program Outcomes

Pilots that don’t stall. Outcomes that repeat.

01: Shared language and understanding

One vocabulary and framework for agentic AI across the entire leadership team, so decisions get made on common ground instead of mixed assumptions.

02: ROI and cost modeling

The ability to understand the cost drivers of AI initiatives, model real financial outcomes, and avoid the pitfalls specific to AI projects.

03: A clear AI strategy

An AI strategy your leaders can take to the board and to the organization, grounded in your own operation rather than generic best practices.

04: Alignment and an operational plan

Cross-functional leaders leave the training ready to move in the same direction, with a shared view of what to do next.

Two Formats, One System

Choose the depth that fits your organization.

2-DAY TRAINING
MOST TEAMS START HERE
Fluency & a working strategy
Your leadership team builds real agentic AI fluency, learns to model the economics of AI initiatives, and leaves with a working AI strategy for your organization. The fastest path to a leadership team that is aligned and ready to act.
Result: A working AI strategy your leaders own.
5-DAY TRAINING
A board-ready roadmap
A deeper, function-by-function engagement spanning revenue cycle, finance, IT, and operations. Your leaders integrate each function’s priorities into a single, board-ready enterprise AI roadmap they own and can execute against.
Result: A board-ready enterprise AI roadmap.
Who Should Attend

Designed for the leaders who set direction and own outcomes.

The core audience is Directors and above across revenue cycle, finance, IT, and operations: the leaders responsible for strategy and execution. Because the program is cross-functional, it works best when these leaders attend together, building alignment in the same room rather than in separate briefings. The program is designed to be delivered in person for the richest cross-functional discussion, and is also available in a live virtual format.

Emerging leaders at the manager level also benefit. They are often the ones who will operate AI initiatives day to day, and their fluency strengthens execution across the organization.

The program is delivered to a single health system at a time, so every discussion is grounded in your operation rather than a generic case study.

How Each Team Benefits

Agentic AI touches every part of the revenue and operations organization.

The program shows each team where it applies to their work.

Revenue Cycle
Learn how agentic AI addresses denials, prioritization, and the manual work that consumes staff capacity, and how to evaluate where it fits your workflows.
Finance
Model the real cost and return of AI initiatives, understand build-versus-buy tradeoffs, and bring financial rigor to AI investment decisions.
Healthcare IT
Assess what agentic AI requires to deploy safely, from integration to security to governance, and separate real requirements from vendor claims.
Healthcare Operations
Understand what changes operationally when agentic AI goes into production, including workflow, workforce, and change management.
Patient Financial Services
See how agentic AI personalizes patient financial engagement, improves payment plan adoption, and routes eligible patients to assistance before collections begin.
Compliance and Governance
Understand the data, consent, and governance guardrails that shape every healthcare AI decision, and how to build them in from the start rather than retrofit them.
Planning Tools Included

Tools your team keeps and reuses across every AI initiative.

Every participating organization leaves with a set of planning tools they can apply to their AI initiatives beyond the training.

AI-First Strategy Planning Template

The framework your teams use to build an AI strategy for any function.

AI ROI and Cost Modeling Calculator

Model the cost drivers and expected return of an AI initiative before you commit.

AI Governance Checklist for Healthcare

The data, consent, and compliance guardrails to address before deployment.

AI Use-Case Prioritization Worksheet

A structured way to decide which AI opportunities to pursue first and why.

These are yours to keep and reuse across your planning cycles.

Who Teaches It

Taught by practitioners and researchers in agentic AI.

ArceeHQ builds agentic AI for healthcare revenue cycle management. The program is led by people who build and deploy this technology for health systems every day, with examples grounded in real deployment rather than theory.

Your leaders learn how agentic AI actually behaves in a health system, including what it takes to move from interest to production safely, what the real economics look like, and where initiatives stall and why.

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