Why Your AI Investment Isn’t Paying Off, And What Actually Fixes It. The gap between AI subscriptions and AI outcomes is a people problem, not a technology problem.
Schedule a conversationof US businesses have paid AI subscriptions.
report meaningfully using AI in daily workflows.
That 30-point gap is not a tool problem. It’s a training problem - specifically, the wrong kind of training.
“The difference between AI adoption that delivers and AI adoption that disappoints almost always comes down to how you bring your people along.”
Effective AI training is built around roles, real workflows, and real scenarios - not abstract concepts. Here are just a few examples of what role-specific training can help you do:
Master prompts for accurately comparing complex inpatient vs. observation criteria against clinical guidelines
Leverage AI for rapidly identifying localized community resources for dual-eligible members and streamlining documentation
Navigate stringent CFR regulatory requirements and learn to critically evaluate and resolve AI output conflicts
AI tools approved by your organization based on your AI policies
Internal and external data classified using an established framework prior to use with AI
Robust documentation of AI use to meet audit needs
Pathways to escalate uncertain or high-risk AI behavior and output
Providing staff with approved AI tools and the ability to use them securely within organizational guidelines.
Role-specific training focusing on safety, limitations, and core prompt engineering tailored to daily tasks.
Overcoming skepticism through peer-led success stories, continuous support, and demonstrable time savings.
AI becomes a reflexive part of the clinical workflow. ROI is realized through sustained efficiency and quality improvements.