Home care organizations and elderly care institutions operate in a sector under pressure: staff shortages, high administrative burdens, and simultaneously high expectations from clients and their families. AI agents take over the repetitive administrative tasks so care workers have more time for direct care provision — the work they chose to do.
Care Planning and Schedule Management
An AI agent manages care planning: which employee goes to which client at what time, are there sufficient qualified employees for the type of care actions, and how is travel planning optimized? When an employee is absent due to illness, the system automatically searches for an available replacement with the right qualifications and informs the client about the changed schedule. Employees receive their daily schedule via an app with client information and care plan details.
- Care matching: link employee to client based on qualifications and preference
- Travel optimization: minimize travel times for multiple client visits per day
- Absence replacement: automatically search for qualified replacement when sick
- Client notification: inform client and informal caregiver of schedule changes
Care Files and Reporting
After each care visit, the employee registers the performed actions, special notes, and any changes in the client's health via an app. The AI agent processes this input into the electronic client file and signals deviations: if there is a pattern of deteriorating health parameters, the system escalates to the care coordinator. Periodic quality reports for the care office or municipality are automatically generated.
- Care note entry: employee reports via app after each care visit
- File building: automatically process input into electronic client file
- Health pattern signaling: detect and escalate deviations and trends
- Quality reporting: automatically generate periodic reports for care office
Client Satisfaction and Quality Improvement
Client satisfaction is a legal requirement and a competitive factor. An AI agent periodically collects satisfaction feedback from clients and informal caregivers via brief WhatsApp surveys. Signals of dissatisfaction are immediately addressed by the care coordinator. Improvement points are fed back to the care team. Organizations doing this systematically structurally improve their client satisfaction scores and stand out in tenders.
Match-AI implements AI agents for home care organizations, nursing homes, care homes, district nursing, and specialized elderly care providers that want to improve their care quality and reduce administrative pressure.
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