By Rebecca Wiessmann
In a recent episode of Tech Tuesday, Steve talks with Veronica “Mo” Carr, an Avendelle Assisted Living franchisee in Raleigh, North Carolina, about how she is using AI agents in the real world — not someday, not in theory, but right now. You can watch the full conversation HERE.
There is a lot of noise around artificial intelligence in senior living.
There are conference sessions. There are big promises. There are worries about hallucinations, HIPAA, job loss, complexity, and whether any of it is actually practical for operators who are already stretched thin.
Then there is Mo Carr.
Mo operates small assisted living homes — three now, with a fourth on the way — each serving no more than six residents. Steve calls her one of the most sophisticated AI users he knows in senior living, and not because she is running a giant technology department. She is not.
She is using AI because she has to.
Phone calls. Text messages. Family communication. Staffing. Scheduling. Financial management. Training. Resident updates. The endless stream of operational work that comes with running care homes.
As Mo puts it, AI touches every operational task in her business.
From Prompts To Agents
A lot of senior living leaders have played with AI as a question-and-answer tool. They open ChatGPT, ask for an email, summarize a document, brainstorm a training outline, or rewrite a message to a family member.
That is useful. But Mo says her work has moved beyond that.
She has shifted from prompting to AI agents.
Her explanation is wonderfully simple: regular AI is a one-time helper. You ask a question, and it gives you an answer. An agent is more like a personal assistant who never sleeps. You give it instructions, connect it to the tools it needs, and it keeps working.
That changes the conversation.
Instead of asking AI to help draft a training outline one time, an agent can help identify a training need, pull the relevant information, and generate a checklist or outline. Instead of manually searching systems, an agent can pull information from QuickBooks, a CRM, email, or other platforms and help complete a task.
The magic, at least for nontechnical operators, is that Mo says this does not require writing code. It requires knowing what problem needs to be solved, giving clear instructions, and building the right workflow.
That is still work. But it is a very different kind of work than most senior living leaders imagine when they hear the word “AI.”
Family Communication In Real Time
One of the most compelling parts of the conversation is around family communication.
Every operator knows this tension. Families want to know how mom or dad is doing. Caregivers want to be responsive. But answering the same kinds of questions over and over takes time. Looking through notes, checking the EMAR, summarizing updates, and sending texts or emails can pull caregivers away from residents.
Mo is using AI agents to change that.
Her agents can pull information from documentation and push updates to family members by text. Families can also communicate back, asking questions like, “How is Mom doing today?”
That is not just a convenience feature. It changes the nature of the interaction.
When families already have timely updates, in-person conversations do not have to begin with staff scrambling through records. The caregiver can be more present. The family member can arrive better informed. The conversation can become more relational and less transactional.
Steve immediately sees the potential, especially for friends and family members who are not nearby but still want to stay connected. A simple weekly update, generated from notes and sent automatically, could give people peace of mind without creating another manual task for a caregiver or family member.
AI As A Clinical Signal Finder
Mo also gives a practical resident-care example: PRN medications.
If a resident is receiving an as-needed medication repeatedly for a behavior, an AI agent could help identify the pattern and flag it. It could notify the operator that the situation may need review. It could generate communication for the clinician. Depending on the workflow and compliance structure, it might even draft an email to the care team.
The point is not that AI replaces clinical judgment.
The point is that AI may be very good at noticing patterns that busy humans miss — especially when those humans are juggling residents, families, staffing, documentation, and the thousand other things that happen in a senior living day.
Of course, Mo is clear that checks and balances matter. AI is a tool. It still needs to be checked, vetted, and built into a responsible system.
That is an important distinction. The goal is not blind automation. The goal is better support.
Why The AI Buzz May Be Fading
Steve raises an interesting observation from the conference circuit: For a while, AI seemed to come up in every session. Then the energy seemed to fade.
Mo’s explanation is simple and probably right: People are overwhelmed.
The tools keep changing. Just as someone gets comfortable with one system, an update changes the interface, the workflow, or the possibilities. For people who enjoy tinkering, this is exciting. For everyone else, it can feel exhausting.
That does not mean senior living can opt out.
AI is already here. It is already embedded in tools and systems. The question is not whether senior living will use AI. The question is whether leaders will use it intentionally.
Mo believes some leaders will build these systems themselves. Others will need help. That opens the door for a new kind of AI consultant — someone who understands operations, audits workflows, identifies repetitive tasks, and builds practical automations that save time.
Not theoretical AI. Useful AI.
The Human Reason Behind The Technology
The most powerful moment in the conversation comes when Steve asks how AI is making Mo’s life better as an owner and how it is improving life for residents, team members, and families.
Mo starts with her why.
In a span of about three months, she lost her mother unexpectedly to pneumonia and then lost her best friend, the founder of Avendelle Assisted Living. During those bedside moments, calls, emails, and texts kept coming. She had to choose between being present and responding to the demands of the business.
That experience changed how she thinks about time.
AI, for her, is not about being trendy. It is about being more intentional. It is about managing the business well enough to have time for family, friends, travel, and the things that bring joy. It is about not constantly choosing between a task and a person.
That is the real promise.
For caregivers, AI can reduce repetitive work and generate training more quickly. For residents, it can give caregivers more time at the bedside. For families, it can provide better and faster communication. For owners, it can create room to breathe.
The Bottom Line
Senior living does not need more AI hype.
It needs more examples like Mo’s: practical, human, operational, and honest about both the possibilities and the risks.
AI agents may sound futuristic, but in Mo’s hands, they are already helping with training, family updates, documentation workflows, medication pattern recognition, scheduling, finances, and communication.
Steve ends the episode eager to bring Mo back for a live demonstration. That may be exactly what the industry needs next — fewer abstract conversations about AI and more real-time, practical lessons from operators who are already using it to make life better.
Because the best AI in senior living may not be the one that dazzles at a conference.
It may be the one that gives a caregiver five more minutes at the bedside.
