Your Cure for AI Governance Fatigue Starts Here
- charlotte92502
- Feb 9
- 4 min read
Updated: Feb 10
AI Governance Fatigue Is Real and It Is Holding Healthcare Back
If you are responsible for deploying, managing, or overseeing AI in healthcare, you likely know the feeling of AI governance fatigue. The spreadsheets. The compliance checklists. The half-formed policies living in shared drives. The constant question of whether your AI models are still performing as intended. It is exhausting and increasingly unsustainable.
That is exactly why Asher Informatics is heading to ViVE 2026 in Los Angeles. Visit us in the Startup Pavilion, booth #2242-41, to receive a complimentary, bespoke AI Governance Blueprint tailored to your organization.
Why AI Governance Fatigue Is Growing
Healthcare systems are rapidly adopting AI, from radiology triage to clinical decision support, but governance has not kept pace. CIOs, CMIOs, compliance leaders, and informatics teams are being asked to oversee expanding AI portfolios with fragmented oversight and limited guidance.
The result is governance that is reactive instead of proactive. Manual risk assessments, ad hoc model reviews, and documentation scattered across teams. For smaller and safety-net organizations, the burden is even heavier due to limited resources and specialized expertise.
This fatigue is not just inconvenient. It is one of the biggest barriers to safe, equitable, and scalable AI adoption in healthcare.
What a Governance Framework Really Is (and Is Not)
AI governance framework has become an overloaded term. A framework is not a policy document collecting dust on SharePoint. It is a working system with three integrated components.
Policies: The “What” and “Who” Policies define intent, boundaries, and accountability. Most organizations have these in some form, but policy alone is not governance.
Processes: The “How” Processes operationalize policy. This is where most frameworks fail. Policies exist, but execution is inconsistent or manual.
The Question That Determines Success or Failure
Most governance efforts fail because they ask the wrong question.
The wrong question: “How do we check the compliance box?”This approach focuses on mirroring regulations, building checklists, and documenting activity. The result is compliance on paper, but limited real control when models drift, workflows change, or risks emerge.
The right question: “How do we govern AI to achieve our goals?”This reframing changes everything. Governance becomes an enabler. Clinical objectives drive AI strategy. Strategy informs model selection. Measurement generates evidence of performance and value. Governance accelerates adoption instead of slowing it down.
Visit Us at ViVE 2026
ViVE 2026 brings together over 9,000 executives, digital health leaders, investors, and innovators at the Los Angeles Convention Center from February 22–25. The Startup Pavilion is where early-stage companies like ours showcase the solutions that are reshaping healthcare—and we’re proud to be part of that community.
Stop by our booth #2242-41 to meet the Asher Informatics team, including co-founders Charlotte Kalafut, CEO, and John F. Kalafut, PhD, CTO, Aaron Sullivan, Chief Revenue Lead, and Aaron Hill, Chief Marketing Lead. We’ll be demonstrating how the AshMatics Suite can transform the way your organization approaches AI governance, and we’d love to hear about the challenges you’re facing.
Your Complimentary AI Governance Blueprint
Book a meeting for a free AI Governance Blueprint – a bespoke overview at how your healthcare organization could apply existing and new policies for AI Governance and the appropriate process and controls to operationalize them. You will leave with a prioritized, actionable roadmap typically delivered through paid consulting engagements.
This is just the tipping point of what our AI Governance Studio software solution can provide. Assess your current posture, including model inventory, risk stratification, process maturity, and regulatory alignment, and see exactly where you are today and how to advance.
Why AI Governance Cannot Wait
The regulatory landscape for health AI is shifting rapidly. The FDA continues to expand its oversight of AI and machine learning-based software as a medical device (SaMD). The Office of the National Coordinator for Health IT (ONC) has introduced transparency requirements for AI-enabled health IT modules. State-level AI legislation is accelerating. And accreditation bodies are beginning to ask pointed questions about how hospitals govern the AI tools they deploy.
Organizations that build governance infrastructure now will be ahead of the curve. Those that don’t risk finding themselves scrambling when the next compliance requirement lands—or worse, when a poorly monitored model produces a clinical outcome that demands an explanation they can’t provide.
Visit us at ViVE 2026 and take the first step out of AI governance fatigue.
Who Should Visit Our Booth?
Our conversation is designed for anyone who plays a role in AI adoption, oversight, or operations within a healthcare organization:
• CIOs and CTOs looking for scalable governance solutions
• CMIOs and clinical informaticists managing AI in clinical workflows
• Compliance and risk officers navigating the evolving regulatory landscape
• Quality leaders responsible for patient safety in AI-enabled environments
• IT and operations directors deploying and maintaining clinical AI systems
• Innovation leads evaluating new AI tools and vendors
We especially welcome leaders from rural hospitals, community health centers, and smaller health systems—organizations where governance fatigue hits the hardest and where our mission as a Public Benefit Corporation is most focused.
Let’s Talk at ViVE
AI governance fatigue is a symptom of a deeper problem: healthcare has been given powerful new tools without the infrastructure to manage them responsibly. Asher Informatics exists to close that gap. At ViVE 2026, we’re inviting you to take the first step—or the next step—toward governance that actually works.