Why Confer

Confer means to share views, to consult together, to give something of value to another person. That's how we think about working with AI, not as a replacement for what you know, but as something worth sitting down with and learning to trust through experience, not hype.

The goal isn't to make your business more technological. It's to help you protect and extend what already makes your business valuable to the people you serve.

What's your origin story

This started as one person trying to help small businesses and nonprofits figure out what AI could actually do for them.

I'd avoided AI early on after a bad first experience with a clumsy prompt and a topic with almost no training data. Then I watched a family member host a community session on AI, and something shifted. I started reaching out to nonprofits, and I kept noticing the same thing: how much the client's own context shaped whether AI was useful or not.

That led to a hope to build a process that captures what makes each business different and uses that to generate recommendations that actually fit?

I came to this from an unusual path. Years as a mechanical engineer integrating new technology into workflows. Then a significant shift into human services, teaching with the Peace Corps in Sub-Saharan Africa, working with marginalized youth, serving as a military chaplain, doing outreach for nonprofits. One lesson kept showing up: start with what the client values, not what you think they need. A community might need computers, but if their heart is set on a soccer pitch, that's where progress begins.

I think it's in holding those two things together, both an appreciation for technology that helps people thrive, and a deep respect for what's already working, that I have something to offer here.

What's the hope

At its simplest: that small businesses can continue serving their communities and stay competitive as things change. That any client who goes through this process learns to use AI in a way that strengthens the company and makes employees more secure in their work — or more prepared if changes become necessary.

This program was built carefully, from solid research, with real concern for the people it serves. It's also new, still learning, and not finished. That honesty is the brand.

Who is it for

What's behind the recommendations

The assessment isn't a generic AI prompt. It runs through a structured framework — over a thousand decision points covering readiness, data risk, task fit, workforce impact, and implementation sequencing. The framework carries the analytical load so facilitators can focus on business judgment and relationships.

Explore ethical AI adoption for small businesses and non-profits

Contact

info@conferwithai.com

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