iTechGuides is reader-supported. When you buy through links on our site, we may earn an affiliate commission. As an Amazon Associate I earn from qualifying purchases. Learn more
AI can help home care agencies make recruiting, training, scheduling, and workforce support more manageable—but it cannot create caregivers or fix low pay, poor working conditions, or inadequate supervision. Its strongest role is operational: handling routine coordination and surfacing information so people can spend more time on hiring conversations, supportive supervision, and care relationships. Evidence describes promising uses, not proof that AI reliably increases retention.
What AI can—and cannot—do about caregiver shortages
Agencies can use AI-enabled tools to reduce some of the administrative friction around hiring and keeping caregivers: sorting applications, coordinating interviews, assigning training, planning staffing, scheduling visits, and identifying when a supervisor might want to check in. These are ways to support agency staff and workers, not substitutes for caregivers or human judgment.
The workforce pressure is visible in UK provider surveys, though the findings should not be generalized to every country. In a Homecare Association survey of 307 UK providers conducted from 13 March to 12 April 2024, 48% said they could not meet current demand; 84% of that group cited recruitment difficulties as the main reason. The respondents served 68,000 clients and employed more than 38,000 careworkers. In the same survey, 44% reported lower careworker turnover than the previous year. That result describes providers’ reported experience; it does not establish that AI caused turnover to fall.
Quick wins for a faster PC:
Scan for outdated or missing drivers - takes under a minuteDriver Scan →Clear out junk files and repair common Windows errorsFree Scan →AI may help an agency use its existing workforce more effectively. It cannot manufacture qualified workers, guarantee that applicants will stay, or remove the underlying causes of turnover.
#1 Best Overall
![Express Schedule Free Employee Scheduling Software [PC/Mac Download]](https://m.media-amazon.com/images/I/41yvuCFIVfS._SL160_.jpg)
- Simple shift planning via an easy drag & drop interface
- Add time-off, sick leave, break entries and holidays
- Email schedules directly to your employees
Where AI can support the caregiver workforce
| Workflow | Potential role for AI | Human responsibility |
|---|---|---|
| Recruiting | Help screen résumés, schedule interviews, handle routine applicant questions, or support preliminary assessments. | Assess motivation, interpersonal skills, values, and role fit; validate any automated screening criteria. |
| Training and onboarding | Assign learning based on role or requirements, tailor or deliver lessons, track completion, and provide on-demand information. | Confirm training is appropriate and meets current jurisdictional and role-specific requirements. |
| Staffing and scheduling | Coordinate worker availability, preferences, skills, client needs, travel, continuity, and changes to visits. | Review trade-offs, resolve conflicts, and ensure a workable schedule for workers and clients. |
| Retention support | Analyze workforce indicators and suggest where a supervisor might offer support or check in. | Verify the context, speak with the worker, and decide what support—if any—is appropriate. |
Recruiting and hiring
AI tools may assist with initial résumé screening, interview scheduling, preliminary assessments, and routine applicant questions. The Administration for Community Living-hosted report A New Era of Care: Reimagining Home Care Work with Artificial Intelligence, produced in the National Council on Aging’s Direct Care Workforce Strategies Center report series, names HireVue as an example of a hiring platform used for nurses, nursing assistants, and home health aides.
Automating administrative steps can leave recruiters more time for conversations about a candidate’s motivation, interpersonal skills, values, and understanding of the work. A screening score should not be treated as a reliable prediction of who will become a good caregiver or remain in a job unless the agency has validated that use. A polished assessment can still reflect incomplete data or biased criteria.
Training and onboarding
AI-enabled training systems can help assign courses, track completion, personalize learning, and provide workers with information when they need it. The ACL-hosted report gives CareAcademy as an example of a home-care training and support platform. Tools can help manage learning, but an agency still needs a person to check that the assigned training meets current local rules and the worker’s specific role.
Crashes, No Sound, or Screen Glitches?
Random freezes, missing sound and display glitches usually trace back to one bad driver. Find and replace yours safely.Free scan · under a minutePC Slower Than It Used to Be?
A free scan shows the junk files, broken settings and background clutter dragging Windows down - then fixes them in one click.Free scan · Windows 10 & 11Staffing, scheduling, and matching
Scheduling is a practical place to apply automation because a visit plan has to reconcile several constraints at once: worker availability and preferences, skills, client needs, travel distances, continuity, and last-minute changes. The ACL-hosted report describes Honor using AI to schedule workers with clients. It also notes that reported improvements in retention and satisfaction have not been independently verified and published, so this example illustrates a use case rather than proving a result or endorsing a product.
In a 2025 survey of more than 8,200 caregivers, home-care technology vendor HHAeXchange reported that 49.3% of respondents said technology helped them most with scheduling and shift management. The figure is a vendor-associated survey finding, not an independent test of a specific AI scheduling system.
Retention and worker engagement
Workforce analytics might combine attendance, performance, survey, and scheduling patterns to suggest that a supervisor check in with a worker. That signal should be treated as a prompt to ask questions—not as a diagnosis, a definitive “flight risk” label, or grounds for an employment decision by itself. A change in attendance, for example, may have an explanation the system cannot see.
The ACL-hosted report warns that incomplete or inaccurate data can produce misleading outputs, that algorithmic bias can misidentify workers, and that excessive monitoring can damage trust. Sayard Evans, PhD, CEO of Arkansas Support Network, puts the limitation plainly: “This is just a calculator—and you have to check the math. AI can only work with the information you give it. If the data are incomplete, biased, or poorly understood, the output will be wrong, even if it looks polished and convincing.”
Free tools Windows power users keep installed
One-click scans. No signup required.
Rank #2
![Express Schedule Plus Employee Scheduling Software [PC Download]](https://m.media-amazon.com/images/I/418jQoF0dhL._SL160_.jpg)
- Simple shift planning via an easy drag & drop interface
- Add time-off, sick leave, break entries and holidays
- Email schedules directly to your employees
What caregiver surveys say workers need
HHAeXchange’s 2025 caregiver survey also reported that 28.2% of respondents identified flexible hours as a top need, up from 23.8% in 2024; 21.7% sought more training, up from 14.5% in 2024. These are vendor-survey results, not proof that a particular technology will meet those needs. They do, however, point to concrete questions an agency can ask when evaluating its processes: Are schedules predictable and workable? Can workers express preferences? Is training accessible and relevant?
HHAeXchange President Stephen Vaccaro described technology as “a bridge to more compassionate care” in a statement accompanying the survey. That is the vendor’s characterization, not an independently established outcome. Whether technology feels supportive depends on how it is introduced and whether it reduces friction without adding surveillance or burden.
Why software alone will not solve retention
Caregiver turnover is also associated with job quality, noncompetitive wages, inadequate supervision, burnout, and emotional stress. AI can help coordinators spot scheduling problems or make time for conversations, but it cannot substitute for fair compensation, manageable workloads, dependable hours, or responsive managers.
Funding and commissioning structures matter too. In its 2025 UK workforce survey, the Homecare Association said the public sector funds 80% of homecare. The association argues that fragmented, lowest-price commissioning can contribute to travel burdens, irregular schedules, and job insecurity. Its survey collected 450 UK provider responses from 17 June to 22 July 2025, covering providers serving more than 186,000 clients and employing more than 135,000 careworkers. These are the association’s UK policy analysis and survey context, not a universal account of home-care funding.
The Tool Desk
Outbyte Driver Updater FREEScan for outdated or missing drivers - takes under a minuteDriver Scan →Outbyte PC Repair FREEClear out junk files and repair common Windows errorsFree Scan →How to evaluate AI software for a home care agency
Start with a specific operational problem rather than buying a broad promise of “AI.” A scheduling tool, training system, recruiting platform, and retention dashboard solve different problems and need different data. The ACL-hosted report’s vendor examples are illustrative, not a comparative product test or endorsement.
- Define the workflow. Decide whether the need is recruiting, onboarding, training, visit scheduling, worker-client matching, or supervisor support.
- Check fit with your operation. Confirm that the system can use the information your agency actually maintains and fits your local model, client needs, and existing systems.
- Inspect scheduling priorities. Ask whether recommendations account for worker preferences, travel, skills, client needs, and continuity—not just filling every open shift or minimizing one cost.
- Protect sensitive information. Understand what worker and client data are collected, who can access them, how they are used, and how privacy and consent are handled.
- Require understandable, reviewable outputs. Workers and clients should be able to understand, correct, or challenge consequential information. A person should review important decisions rather than accept an opaque score.
- Test for errors and bias. Ask how the vendor and agency identify incomplete data, inaccurate recommendations, and unequal effects across workers or clients.
- Measure the right outcome. Track whether the tool reduces administrative work or improves scheduling and support in your own operation. Do not treat vendor adoption or benefit surveys as causal proof of better retention.
- Include workers and clients in decisions. Seek input before rollout and monitor whether the tool makes supervision more supportive—or instead increases monitoring and administrative demands.
What the adoption figures do—and do not—show
In 2026, AxisCare CEO Todd Allen reported findings from an AxisCare-commissioned survey: 91% of respondents said their agency was already using or planned to use AI in home-care operations management, and 94% of agencies already using AI reported tangible benefits. These are vendor-commissioned survey results as reported by the vendor’s CEO. They indicate reported adoption and perceived benefit, but do not establish that AI caused better retention or independently verify the outcomes.
Across the available examples, the credible case for AI is that it can help agencies coordinate work and give supervisors useful prompts. The case is not that software has been shown to end shortages or reliably keep caregivers in their jobs. An agency should judge a tool by its fit, safeguards, and effects on workers and clients—not by adoption claims alone.
Quick Recap
Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on Amazon at the time of purchase will apply.
