Your AI Project Probably Won't Fail Because of the Technology. It'll Fail Because Nobody Uses It
An agency buys a scheduling tool. It's set up, the demo goes well, and everyone agrees it should save time.
Six months later, the scheduler is still doing it the old way.
The tool works. It just takes a while to set up, and she has a full day of calls to get through.
Doing it the way she always has is faster today, so that's what she does.
That quiet gap between "we bought it" and "we use it" is where most AI projects stall.
What Industry Leaders Are Saying Right Now
This month, Home Health Care News spoke with home-based care executives about AI change management. The hurdles they described had little to do with the technology itself:
Lack of time. Learning a new tool takes time out of a full day.
Fear of lost productivity. Things usually get slower before they get faster.
Threats to professional identity. When someone is proud of a skill, a tool that does it can feel personal.
One executive at TheKey, a national home care provider, said projects fail mostly because adoption doesn't happen, not because the solution can't do the job. In a small HHCN pulse survey of 20 providers, most named a lack of staff trust or buy-in as the biggest gap, and 40% said they had no formal training for employees. The sample is small, so treat it as directional, but it matches what many owners describe.
A leader at CommonSpirit Health at Home said the organization underestimated change management, and adoption has moved more slowly than expected.
The Dip Nobody Plans For
HHCN's reporting described a "J curve." Productivity dips after a new tool is introduced, then rises above where it started.
The dip is the risky part. It's easy to look at a slower week and decide the tool doesn't work.
Leaders who stay visible and keep the team moving through that stretch are the ones who reach the other side.
Identity matters too. A scheduler who has spent years getting good at her job may feel less needed when a tool takes over part of it. Leaders in the report stressed leading with empathy, being clear about where human judgment and relationships still matter, and framing new tools as a way to build skills that keep employees valuable.
This applies to home health, home care, hospice, private duty, and other care providers alike.
Four Ways to Bring Your Team Along
1. Start with a problem your team already wishes would go away. After-hours calls, overloaded coordinators, and slow referral response are good candidates. When a tool relieves something people already dislike, adoption is easier.
2. Name a few champions. Choose people from different roles to try it first and give feedback. Phased rollouts and champions were among the most popular strategies in HHCN's survey.
3. Be specific about what changes and what doesn't. Tell the team what the tool will take off their plate, and what stays with them: judgment, empathy, and relationships with caregivers and families.
4. Plan for the dip and decide how you'll measure. Pick a few numbers, such as response time and referral conversion, and share them. Seeing progress helps people stay with it through the slow start.
Where CuraCall Fits
CuraCall is built around taking work off your team, starting with the hours when they're stretched thinnest.
What agencies tell us | What CuraCall provides |
"My team doesn't have time to learn another process." | 24/7 live coverage takes after-hours calls and messages off your team's plate, giving time back rather than adding tasks. |
"My coordinators worry about being replaced." | Live people and Aila's instant texting keep humans in the conversation, while your coordinators' judgment and relationships stay central. |
"Productivity might dip during the switch." | Start with one narrow area, after-hours communication, so the change is contained and easy to compare before and after. |
"Staff don't fully trust it yet." | Max coordinates the workflow in the background, and CuraCall reporting gives everyone shared facts about what happened and when. |
"I need to show leadership it's working." | CuraCall reporting tracks response times, escalation metrics, operational trends, and team accountability. |
The result is a more manageable transition: a focused first step, a team that gets relief instead of homework, and numbers that show what improved.
The Key Takeaway
AI in home care rarely fails because the technology doesn't work. It fails when the people who are supposed to use it aren't brought along. Starting with a problem your team already wants solved, naming champions, being honest about what changes, and measuring progress gives any rollout a better chance of lasting.
If you're looking to improve the way you AI Home Care initiatives, reach out to Paul Lieberman, CuraCall, CEO and President — paul@curacall.com or you may click the link to book a schedule https://www.curacall.com/book-online.
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