AI for Home Care—Why?

Running a home care agency feels a lot like managing chaos. It’s not the glamorous type of chaos you read about in Silicon Valley stories—it’s the quiet, relentless, exhausting chaos of endless phone calls, voicemails piling up, and caregivers disappearing without notice.

When I started talking to home care executives, I wasn’t prepared for how similar their problems were. They'd say things like, “We miss hundreds of calls every week,” and “Caregivers quit mid-week, and we only find out when a patient misses their visit.” They described teams scrambling to catch up, living in spreadsheets, and spending entire days just putting out fires.

And each missed call wasn't just a missed opportunity—it was a crisis. Miss one call, lose a caregiver. Lose a caregiver, disrupt ten or more patient visits. Stack up ten unresolved complaints, and you risk regulatory trouble. The math isn’t complicated, but it's brutal.

This made me wonder why home care felt so behind the curve when it came to technology. Hospitals and clinics had their EHRs and fancy tools, but home care agencies were still buried under manual processes and outdated systems. The more I talked to people in the industry, the clearer it became: home care is fundamentally a communication-heavy business, yet it’s uniquely ignored by most tech companies.

But something’s changed recently, and it has to do with AI finally catching up to the messy realities of home care operations.

Why Now?

A couple of years ago, suggesting AI for home care would have been laughable. Voice AI sounded like robots, and the best AI could do was automate simple tasks. But that’s shifted dramatically. Large Language Models (LLMs), the tech behind things like ChatGPT, have finally matured enough to handle the messy, real-world operations of home care. They can reason through nuanced, unpredictable scenarios that happen every day at agencies.

Voice AI has also improved to the point of being genuinely useful. It no longer sounds like you're talking to a toaster. Real conversations, handling real issues—AI now genuinely helps instead of annoys.

Meanwhile, healthcare enterprises—and home care is no exception—are actively looking for realistic and safe ways to bring AI onboard. The problem? They don’t have the expertise or bandwidth to get it up and running themselves. They don’t need another shiny gadget that overpromises and underdelivers. They need practical, reliable, and safe AI solutions that solve real problems without adding complexity.

And that’s exactly why we built our AI deployment team—real specialists solving real issues, not pushing tech toys.

It's not about being fancy

The thing about home care is that it’s intensely human. People caring for other people, often under stressful, unpredictable conditions. No fancy tool will replace that. But the mundane tasks, repetitive communication, and constant scramble? AI handles those perfectly. And when you remove the mundane and repetitive, what you’re left with is the reason everyone got into home care in the first place—the human element.

Where you fit in

If you’re a CIO, CTO, or COO reading this, you're probably thinking about risk. You’re probably wondering if AI is another trendy distraction or an actual solution. I get it, skepticism is healthy.

But here’s the thing: Home care is already struggling under old systems, under communication breakdowns, under the quiet chaos that everyone sees but rarely fixes. What if your job wasn't about putting out fires, but preventing them altogether?

Your role isn't about chasing after shiny new technologies; it's about solving real problems that protect your agency and your people. The reality is, AI isn’t coming—it’s already here, and it’s finally good enough to tackle the realities of home care.

If not now, when?