Facilitation & Strategic Planning for AI Adoption & Innovation

white paper
green notebook
white paper

AI isn’t just a technology challenge. It’s a people challenge. And you can’t solve a people challenge with a technology plan. The challenges AI reveals in an organization often point to the gap between what leadership sees and what teams feel. We design strategies and events that help organizations work through that tension while identifying where and how AI solutions fit into your work.

tell me more
view case studies
green highlighter
green marker cap

you might be here because:​

  • Leadership sees the opportunity in AI, but your teams feel the uncertainty
  • Adoption decisions are being made without the people who’ll have to live with them
  • Innovation is accelerating faster than your organization can absorb it
  • Your technical strategy and your human strategy aren’t aligned
  • You need a shared framework for navigating AI, not just a technology roadmap

There’s a different way to navigate AI

We approach AI as a participation challenge: when the people closest to the work help shape how AI changes their work, resistance softens, adoption accelerates, and the strategy is grounded in reality rather than just executive vision.

  • Find the real opportunities, with your people. We help you identify the needs, surface the highest-value use cases, and connect the dots to what AI can actually do. When it helps, we go further and prototype the tools themselves for your team.
  • AI in service of human wisdom — not instead of it. We’re one of the few studios actively bridging the divide between human facilitation and the technology that helps people make better sense of what’s happening — which means AI shows up not just as the topic, but woven into how we do the work.

The result isn’t just a smarter roadmap. It’s an organization that can navigate AI with its people fully behind it.

trusted across government, higher ed, ventures & community

US Department of Veterans Affairs
Nasdaq Entrepreneurial Center
Penn State
logo-degenstein
logo-pde
logo-pasmart
logo-ie
“His personality and methods are infectious. With Spud involved, everyone’s experience is better for it.”
Danielle Hagan
Government Innovation Specialist
“An effortless collaboration! Spud turned our technical thinking into direct connections with real people.”
Congxing Cai
Founder, Realm
“A joy to work together! You helped us learn how communities are created, nurtured, and sustained!”
Ravi Gundlapalli
Ravishankar Gundlapalli
CEO, MentorCloud

AI work in action

case studies

VHA Innovation Ecosystem

Uniting VA Experts Around AI for Mental Health and Suicide Prevention

How do you get clinicians, researchers, and executives across a massive federal health system aligned on how to responsibly apply AI to mental health and suicide prevention?

The VA’s Health Administration wanted to move past the AI hype and get practical: where could AI genuinely help Veterans — especially around mental health and suicide prevention — and how could it be done responsibly? The problem was that the expertise lived in silos: clinical, research, data science, policy, and operations. We designed and facilitated a two-day virtual AI & Mental Health summit that brought those cross-disciplinary champions together in service of veteran-centric AI innovation.

The result: a hands-on working summit (not a webinar) that produced concrete AI solution concepts and next steps across seven real use cases, from suicide-risk prediction to a Veteran-facing wellness chatbot. 100% of attendees said they wanted to attend another AI summit.

Full case study

Realm

Coordinated the community growth strategy for a generative AI company

How do you build the community social proof for a powerful new way to make art with AI?

Realm had built a social platform for creating art with AI, but a product like that only works if a real community forms around it, and that wasn’t the founding team’s expertise. Over 12 months we coached their leadership on community growth, tested the app with real users through beta sessions and a rebrand, and ran live experiences, including an AI improv show and the first-ever AI art gallery at a major arts festival, all with the goal of putting Realm in front of the people it was built for.

The result: a technical product turned into direct connections with real people, and a clear, tested direction for the community at its core.

Full case study

Penn State, Nittany AI Alliance

Turning AI Curiosity Into Real Connections and Solutions

A campus full of questions about AI along with students, faculty, and nonprofits brimming with ideas, but no shared place to turn that curiosity into real connections and solutions.

Nittany AI wanted its community to do more than learn about AI — it wanted people to connect around it and turn ideas into action. We designed and facilitated two engagements — a virtual Connection Café on global education and AI, and a hands-on ideation workshop on agriculture and environmental sustainability — each built to spark connection first and solutions second.

The result: 275 new connections in a single two-hour workshop, and a room of educators and nonprofit leaders leaving with concrete ideas for putting AI to work on real-world problems.

Full case study

Stop rolling out AI to your people.

Navigate it with them.

black marker

Let’s talk about your AI strategy, an innovation gathering, or the change your organization is navigating and what it would take to find the right opportunities to bring your people into shaping them.

start a conversation

faq

An AI strategy facilitator helps an organization navigate AI as a human challenge, not just a technical one. Rather than handing over a technology roadmap, a facilitator designs the process — bringing leadership, frontline teams, technologists, and stakeholders into structured dialogue and sprints to identify needs, surface the highest-value use cases, build shared understanding, and shape a direction people genuinely own. My Creative Community designs and facilitates participatory AI strategy processes and innovation gatherings across government, education, business, and community settings.
Both. We’re especially strong at the human and design side — identifying the needs and opportunities, helping you find the right use cases, and building the buy-in that determines whether any AI effort lands. From there we connect the dots to what’s possible, and when it helps, we dive into prototyping and implementation. We bring real, hands-on AI context to the table, not just theory.
We build it. Alongside our facilitation work, we’ve created AI tools ourselves — including WiseRooms, a platform that helps facilitators make sense of complexity in a room and surface collective human wisdom. We also weave AI directly into the work we lead: bespoke AI experiences inside large conferences, interactive AI-infused harvest reports, and more. We’re one of the few facilitators actively designing at the intersection of human facilitation and AI.
In a lot of ways. At a 1,000-person statewide conference, we built a custom AI platform attendees interacted with to connect to the opportunities and people around them. Every harvest report we produce has AI woven in so participants can engage with what emerged in a living, creative way. And tools like WiseRooms help a room make sense of its own collective input in real time. The throughline: AI in service of human connection and wisdom, never replacing the people involved.
A wide range — because AI shows up everywhere. We’ve facilitated AI work for federal government (the VA’s Mission Daybreak veteran suicide-prevention initiative), higher education and research (the Nittany AI Alliance), venture-backed startups (Realm), and community settings. The common thread isn’t the sector — it’s bringing people into shaping how AI changes their world.
Technical firms focus on the tools, the infrastructure, and the implementation. We focus on the people and the design challenge: identifying where AI actually fits, building shared understanding and buy-in, and weaving technology into the work in a way that serves the humans involved. We often complement technical partners rather than replace them — and because we build AI ourselves, we speak both languages.