Most associations are stuck in one of two places: staff are already using AI tools without guidance, or leadership has frozen all activity until someone figures out "the AI thing." Neither approach serves the organization well.

I help you get unstuck with practical, right-sized solutions.

What this looks like:

• AI acceptable use policy development tailored to your organization's risk tolerance and culture

• Board and leadership education sessions that cut through hype and focus on real implications

• Staff AI literacy training so your team knows what's possible, what's risky, and what's worth trying

• Risk assessment and ethical frameworks that make sense for membership organizations

• Vendor evaluation guidance when you're being pitched AI-powered tools and don't know what questions to ask

This is a good fit if: You don't have an AI policy yet, you're not sure what your staff is already doing with AI, or your board is asking questions you can't answer.

Policy is the foundation. Implementation is where value gets created.

Once you know what's acceptable, the next question is what's useful. I help organizations move from "we have a policy" to "we're actually using AI to work smarter."

What this looks like:

• Workflow analysis to identify where AI can save time or improve quality

• Opportunity mapping to prioritize high-value, low-risk starting points

• Pilot project design with clear goals, timelines, and success measures

• Tool selection support so you're not buying software you don't need

• Change management guidance to bring staff along without overwhelming them

• ROI measurement so you can demonstrate value to leadership and funders

This is a good fit if: You have a policy in place and want to move forward, you've experimented informally and want a more strategic approach, or you're being asked to justify AI investments.

I spent many years managing accredited continuing education programs across eight healthcare disciplines. I understand the constraints of ACCME, ANCC, ACPE, AOTA, and other accrediting bodies. I know the difference between compliance and quality.

AI can help you do both better.

What this looks like:

• Learning needs assessments that use AI to analyze practice gaps, survey data, and performance metrics

• Curriculum design and instructional strategy grounded in adult learning principles

• Evaluation data analysis to surface patterns and insights you'd otherwise miss

• Accreditation compliance support across multiple disciplines

• Conference and meeting content development from needs assessment through session design

This is a good fit if: You're a healthcare association or education-focused nonprofit looking for help designing or improving accredited programming, or you want to get more value from the evaluation data you're already collecting.