Build the capability to make AI successful at scale
ºìÁì½í¹Ï±¨’s AI Accelerator workshop series helps healthcare professionals build AI literacy, assess organizational readiness, prioritize high-value use cases, strengthen AI governance, and build a practical roadmap for responsible adoption.
Learn—Build Healthcare AI Literacy and Decision-Making Capability
ºìÁì½í¹Ï±¨ combines healthcare and AI expertise to give leaders a practical, shared understanding of the decisions that determine whether AI creates real value.
You’ll learn how to:
- Establish governance, decision rights, accountability, and measurement practices that support responsible scale
- Identify and prioritize high-value AI opportunities based on organizational goals, feasibility, and expected impact
- Evaluate AI opportunities using a structured framework that considers value, feasibility, risk, workforce impact, and organizational readiness
- Make reliable build, buy, and extend decisions for AI tools, solutions, and agents
- Put responsible AI into practice through governance structures, AI policies, risk management processes, data protection requirements, human oversight, and monitoring practices
- Prepare the workforce through training, AI champions, change management, feedback loops, and adoption support
Assess—Measure Organizational AI Readiness.
The Accelerator includes a structured assessment across five key pillars of AI readiness including:
- Organization Strategy
- Technology Strategy
- Applied AI Experience
- Organization and Culture
- Governance
Each dimension is assessed for both current state maturity and future state capability needs.
The assessment provides a maturity rating and practical next steps for each dimension, helping leadership clearly see:
Where you are → where you need to be → what needs to happen next
More than a scorecard, the assessment creates a fact-based view of organizational readiness that identifies the strengths you can build on, the gaps that could slow or derail adoption, and the specific capabilities needed to pursue AI responsibly.
Plan—Build a Practical AI Strategy and Roadmap
Build a practical path forward
ºìÁì½í¹Ï±¨ helps your team turn workshop learning and assessment findings into a prioritized, actionable roadmap that identifies which opportunities to pursue, the capabilities needed to support them, who will be responsible, and what should happen next.
Together, you will:
- Select a focused portfolio of use cases to advance, pilot, monitor, defer, or avoid based on organizational goals, expected value, feasibility, risk, and readiness
- Define the business outcomes, KPIs, owners, investments, dependencies, and oversight requirements for priority initiatives
- Identify the governance structures, policies, decision rights, review processes, and accountability needed to support responsible AI adoption
- Sequence foundational work across data, technology, governance, workforce readiness, change management, and operating models
- Establish near-term actions that build momentum while preparing for larger-scale adoption
- Create an approach for monitoring AI performance, adoption, emerging risks, vendor activity, and new opportunities over time
The result will be a practical, organization-specific roadmap that includes:
- A prioritized AI use-case portfolio
- Recommended actions across governance, technology, data, workforce, and operations
- Defined owners, dependencies, and measures of success for priority initiatives
- A focused 90-day action plan to begin moving forward
- Longer-term priorities for advancing responsible, measurable, and sustainable AI adoption
Together, these outputs will provide a practical path from AI interest and experimentation to focused action, responsible adoption, and measurable organizational value.
Who is the AI Accelerator for?
The AI Accelerator is designed for healthcare and human services leaders responsible for determining how their organizations will use AI, including executives and leaders across strategy, operations, clinical services, finance, technology, compliance, data, and workforce transformation.
Built for the realities of healthcare
ºìÁì½í¹Ï±¨â€™s AI Accelerator is designed for the distinct operating environments, strategic priorities, and responsibilities of organizations across the healthcare ecosystem, including:
Health Systems
Move beyond isolated AI pilots to decisions that improve throughput, capacity, and care delivery.
Explore where AI can realistically relieve pressure in high-friction operations—from call centers and scheduling to prior authorization, clinical documentation, coding, discharge planning, and revenue cycle workflows. Assess which use cases are ready for adoption, what data and workflow changes they require, and where human oversight must remain central.
The Accelerator brings clinical, operational, financial, technology, and compliance leaders together to prioritize a manageable AI portfolio, define decision rights and guardrails, and create an implementation roadmap tied to measurable outcomes such as access, staff capacity, denials, length of stay, quality, and patient experience.
Health Plans
Apply AI where it can reduce administrative friction without compromising member outcomes, compliance, or trust.
Identify practical applications across contact center operations, claims and payment integrity, prior authorization, utilization management, case management, provider data, risk adjustment, and member communications. Evaluate where automation can accelerate work, where AI should support—not replace—clinical or coverage decisions, and how new tools affect providers and members.
The Accelerator helps leaders make clear choices about which AI investments to pursue, pause, or retire. Participants address the data, model governance, regulatory, auditability, workforce, and vendor management requirements needed to deploy AI in high-stakes payer operations.
Counties & Local Government
Use AI to make public-facing services easier to access while protecting residents’ information and public accountability.
Examine opportunities to reduce manual work in constituent inquiries, document processing, case intake, eligibility support, records requests, procurement, grants administration, and internal knowledge access. Determine which uses can be implemented with existing resources, which require stronger data practices or vendor controls, and which should remain off-limits because of privacy, equity, legal, or public trust concerns.
The Accelerator helps county leaders establish practical policies for AI and generative AI use, vendor evaluation, data handling, human review, and public communication. The result is a realistic roadmap for testing a small number of high-value use cases, building staff confidence, and scaling only where AI can demonstrably improve service delivery.
AI Accelerator cohorts begin October 2026
Bring together the leaders and stakeholders who will help shape your organization’s AI future and build a common foundation for moving forward.
Find the Right AI Accelerator Cohort for You
Successful AI adoption doesn’t happen when a new tool is deployed. It happens when leaders know how to make good decisions, employees know how to use AI effectively, governance is in place, and the organization can continuously learn and adapt.
That’s why the Accelerator combines education, assessment, practical decision frameworks and action planning—so your organization’s team doesn’t just leave knowing more about AI. It leaves better prepared to use it.
What You’ll Take Away
By the end of the AI Accelerator, you will have:
- An understanding of key AI concepts, capabilities, and limitations
- An assessment of your organization’s AI readiness and maturity
- A prioritized set of potential AI use cases
- A framework for evaluating AI opportunities, technologies, and vendors
- Practical considerations for responsible AI governance and risk management
- Recommended governance actions, ownership structured, and decision rights for responsible AI adoption
- Identified workforce and organizational capabilities needed for adoption
- A prioritized roadmap for moving from experimentation to responsible scale
Frequently Asked Questions
How does an AI strategy workshop help healthcare organizations?Â
An AI strategy workshop gives healthcare leaders a practical understanding of the decisions that actually determine whether AI creates value. In ºìÁì½í¹Ï±¨’s AI Accelerator, it means leaders work through how to establish governance, decision rights, and accountability; identify and prioritize the AI opportunities most likely to pay off given their organizations’ goals and feasibility; make sound build-buy-extend decisions on AI tools and vendors; put guardrails in place for security, data, and human oversight; and prepare the workforce to adopt the tools through training, champions, and change management. Because the workshop is paired with a readiness assessment and roadmap building, leaders leave with a prioritized, actionable plan for where to focus first.Â
How is this different from a general AI training or AI upskilling session?Â
Generic AI training tends to stop at concepts and tool demos. The AI Accelerator is built around three pillars—Learn, Assess, Plan—so AI upskilling is paired with a structured readiness assessment and a roadmap specific to your organization. Leaders leave not just knowing more about AI, but with a prioritized set of use cases, a decision framework for evaluating AI investments, and a plan for governance and workforce readiness.Â
Is the AI Accelerator relevant if we already have AI initiatives underway?Â
Yes. The readiness assessment is designed to surface a fact base regardless of where you’re starting—identifying the strengths you can build on as well as the gaps that could slow or derail further adoption. Organizations with existing pilots use the Accelerator to decide what to scale, pause, or retire alongside organizations that are just beginning to explore AI.Â
Does ºìÁì½í¹Ï±¨ tailor the Accelerator to our type of organization (health system, health plan, county/government)?Â
Yes. The Accelerator is designed for the distinct operating environments and priorities across the healthcare ecosystem, with dedicated focus areas for health systems, health plans, and county and local governments—each addressing the use cases, risks, and guardrails most relevant to that setting.Â
How does ºìÁì½í¹Ï±¨ determine which AI use cases should be prioritized?Â
ºìÁì½í¹Ï±¨ uses a structured evaluation framework that considers organizational goals, expected outcomes, feasibility, implementation complexity, workforce implications, governance requirements, and potential risks. The result is a prioritized portfolio of opportunities organizations can confidently advance, pilot, monitor, defer, or avoid.Â
