The Future of Caregiving, Part 1: Trust Is Becoming the Most Important Feature

A few weeks ago, I was on a demonstration of CareBridge Copilot with a healthcare organization.

Like most conversations these days, it started with AI.

What model are you using?

What can it do?

How does it work?

But about ten minutes in, the conversation shifted.

No one wanted to talk about AI anymore.

Instead, they started asking questions that I think matter a whole lot more.

Who reviews the information?

How do you decide what the AI shouldn't answer?

How do you make sure families aren't replacing professional care with technology?

I smiled because, honestly, those are my favorite conversations.

I've spent nearly 30 years in behavioral health and the last 16 as a BCBA. During that time, I've watched our field evolve in ways I never could have imagined. We have better research, better conversations, and a much greater appreciation for supporting the whole family, not just the individual receiving services.

I think AI is going through that same evolution.

A year ago, everyone was asking what AI could do.

Today, the better question is whether people can trust it.

That shift changes everything.

When I started building CareBridge, I wasn't trying to create another chatbot. I wasn't trying to automate therapy or replace clinicians. In fact, if AI ever replaces the relationship between a family and a great professional, I think we've built the wrong thing.

The question that kept me up at night was much simpler.

How do we help caregivers at 8:30 on a Tuesday evening, when the therapy session

ended hours ago and they're standing in their kitchen wondering what to do next?

That's the gap I wanted to help close.

Not by replacing people.

By extending education.

That's also why we've made a very intentional decision not to build one giant AI system for everyone.

Parents have different questions than educators.

Educators have different responsibilities than clinicians.

Each group deserves guidance that's built specifically for the decisions they're making every day.

That approach takes longer.

It requires more clinical oversight.

More review.

More refining.

More saying, "We're not ready to release that yet."

From the outside, that can look like slower progress.

From the inside, I believe it's exactly the right pace.

Innovation isn't just about building faster.

Sometimes it's about having the discipline to build thoughtfully.

I have a feeling that five years from now, every company will be talking about AI.

The companies that stand out won't necessarily be the ones with the most features.

They'll be the ones people trust.

That's the future I'm interested in building.