Navigate AI adoption with a room full of people who get it

 
 
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A small advisory circle for product leaders, researchers, and designers working through the human side of AI: trust, evaluation, adoption, and the messy middle between shipping a feature and seeing it land.

Apply for a Founding Spot

12 spots total. $175/month for founding members.
I review every application personally and respond within a few business days.

Who This Is For

You’re leading or contributing to products with AI-powered features. The technology works, but adoption is harder than expected. Users hesitate. Stakeholders disagree on what “good” looks like. You’re making evaluation and trust decisions without a clear playbook.

You don’t need a consultant to come in for six weeks. You need a sharp, ongoing conversation with people who understand the problem space. And, you need a senior practitioner who’s worked through challenges like these across B2B SaaS, edtech, healthcare, financial platforms, and civic tech.

What Happens Inside the Circle

Live Sessions (2x/month, 90 minutes)

Each session is structured around real challenges members bring to the room. One or two members take the hot seat. The rest contribute perspectives, questions, and pattern recognition. I facilitate and bring frameworks from my work in AI evaluation, trust design, and adoption strategy.

These are not webinars. There are no slides. It’s a working session.

Slack Community (async, ongoing)

Between sessions, the Slack channel is where you float a question, share a decision you’re weighing, or get a quick gut-check. I’m active in the channel and will weigh in on threads where I can add value.

Frameworks & Tools

I’ll share lightweight frameworks drawn from my consulting work. These include elements like trust signal mapping, AI error taxonomies, adoption friction diagnostics, and user confidence scoring. These aren’t heavy methodologies. They’re thinking tools you can apply the same week.

The Kinds of Problems We’ll Work Through

  • Your AI feature is technically accurate but users don’t trust it. How do you close that gap?

  • You need to evaluate AI output quality, but you’re not sure what “good” means outside of technical benchmarks.

  • Adoption metrics are flat and leadership wants answers. Where do you start?

  • You’re designing onboarding for an AI-powered feature and it’s unclear how much to explain vs. let users discover.

  • Stakeholders can’t agree on what success looks like for a new AI capability.

  • You want to build an evaluation framework but don’t know where to start or what to measure.

Pricing

$175/month for founding members (limited spots)

 Cancel anytime. No contracts. If it’s not useful, you’ll know within the first month.

 Apply for a Founding Spot or email hello@maryaviles.com with questions.