AI is most useful in a home care agency when it solves a real operating problem instead of becoming another system to manage. Nicole Freeman, owner of FirstLight Home Care of Alameda in Alameda County, California, approached it by looking first at the friction already consuming her team’s time.

Her experience points to a practical starting place: understand the work, test whether the technology understands home care, and keep the human responsibilities that should not be automated.

Where did Nicole Freeman see the need for AI first?

Recruiting qualified caregivers in a heavily regulated state

Nicole’s first major friction point was recruiting qualified caregivers in California, where the work is heavily regulated. The challenge was not simply finding more applicants; it was finding qualified candidates and moving them through the process with less delay.

The administrative load that grows as an agency scales

The second friction point was administration — the “paper” that grows as an agency gets larger. For Nicole, that made AI worth exploring as a way to address a real burden, rather than as a technology trend looking for a use.

What should home care owners evaluate before selecting an AI platform?

Testing an AI platform taught Nicole that home care technology has to understand the conditions of the work. A platform should be evaluated against the agency’s actual process, the regulatory context, and the administrative tasks the team is trying to reduce.

Before selecting a platform, owners can ask:

  • Which recurring process is creating the most friction right now?
  • Does the platform fit the way home care work is actually done?
  • Will it reduce work, or create another system the team has to maintain?
  • What process should be addressed first so the team can learn from a focused test?

Why Nicole brought recruiting in-house with AI

Nicole had previously outsourced recruiting. After testing an AI approach, she decided to bring recruiting in-house. She described recruiters previously taking one to two weeks, while her own experience produced qualified candidates within 24 hours at times.

Those are Nicole’s results and her experience with her agency, not a promise of what another agency will see. The useful lesson is the decision process: start with a specific bottleneck, test the workflow, and compare the new process with what was happening before.

Nicole’s practical advice for owners considering AI

Nicole recommends doing the research, but not researching for too long. Talk to other owners, learn what they tested, and use those conversations to make the next evaluation more concrete.

Rapid-fire answers from Nicole

  • Will AI take jobs away from home care? Nicole’s answer was no.
  • What should an owner never fully automate? Culture.
  • What does she want more of? Less time on data entry and more time on retention.

Practical takeaways for owners considering AI

  • Start with a recurring problem that already costs the team time.
  • Test the platform against the real home care workflow and its regulatory context.
  • Choose one process first instead of adding technology everywhere at once.
  • Talk with other owners, then make a decision before research becomes its own delay.
  • Protect culture and keep the owner’s attention available for retention and relationships.

What to do this week

Choose one administrative or recruiting process that creates repeated friction. Write down the current steps, what “better” would look like, and three questions you need answered before testing a platform. Then use the free Home Care Agency Growth & Value Scorecard to place the technology question in the context of the rest of the business.