What challenges did AlayaCare face before AI implementation?

Caregivers spent too much time on paperwork, travel, and administrative work instead of patient care. Home care agencies faced complex scheduling challenges and last-minute cancellations that disrupted care. Care teams needed faster access to patient condition, risk, and clinical context to improve coordination and prevent avoidable hospitalizations.

What was the impact of the AI solution?

Caregivers spend more time with patients and less time on paperwork and the road. Clinical supervisors receive actionable summaries in seconds instead of hours. Last-minute cancellations can be handled in minutes rather than hours. Patients can remain safely in home care with improved outcomes. The platform supports AlayaCare’s expansion across Canada, the United States, Australia, and New Zealand.

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Source

AlayaCare AI assistant and agent workflow with Amazon Bedrock for home-care care coordination and scheduling

Use case typeAI agentsUpdated Jun 25, 2026

AlayaCare develops AI-powered software for home care agencies to help caregivers focus on patient care rather than administration. The company built Layla, an AI assistant on Amazon Bedrock, to give caregivers real-time summaries of patient conditions, risks, and recent colleague notes before visits. AlayaCare also built AlayaFlow, an AI-powered workflow engine that automates scheduling, visit verification, care-plan generation, and last-minute replacement matching and approvals. The solution uses AWS with strict data residency controls so patient data stays within each client environment, and predictive analytics help identify patients at risk of re-hospitalization.

Organization: AlayaCare
Industry: Healthcare
Location: Canada
Published: June 2026

Reported outcomes

Strategic outcomes

Employee experienceFreed caregivers from administrative workSpeed & agilityHandled replacement matching in minutesBetter decisions & insightDelivered actionable supervisor summaries from clinical notesScale & capacitySupported expansion across multiple countries

Primary read

Use case focus

Showing 3 of 3

1AI agents
2Workflow automation
3Planning automation

Caregivers spent too much time on paperwork, travel, and administrative work instead of patient care.
Home care agencies faced complex scheduling challenges and last-minute cancellations that disrupted care.
Care teams needed faster access to patient condition, risk, and clinical context to improve coordination and prevent avoidable hospitalizations.

Layla uses Amazon Bedrock to generate real-time visit summaries from patient files and conversation data.
A built-in AI scribe creates visit assessments from nurse-patient conversations and an AI agent suggests a care plan.
AlayaFlow uses agentic AI to automate scheduling, visit verification, care-plan generation, and replacement matching/approval workflows.
Predictive analytics and risk stratification ingest visit data, clinical notes, and medical history to flag patients at risk of re-hospitalization and trigger reprioritized interventions.

Technologies

Amazon Bedrock

Caregivers spend more time with patients and less time on paperwork and the road.
Clinical supervisors receive actionable summaries in seconds instead of hours.
Last-minute cancellations can be handled in minutes rather than hours.
Patients can remain safely in home care with improved outcomes.
The platform supports AlayaCare’s expansion across Canada, the United States, Australia, and New Zealand.

Architecture

Layla is an AI assistant built on Amazon Bedrock that summarises patient conditions and generates assessments/care-plan suggestions. AlayaFlow is an agentic AI workflow engine powered by Amazon Bedrock that automates scheduling, visit verification, care-plan generation, and replacement matching/approvals. AWS hosting with separate regional instances provides data residency controls for sensitive health data.

Sources & evidence1

Groundedness: 5/5Type: Customer StoryPublished: Jun 25, 2026Publisher: AWSEvidence: PrimaryConfidence: High

Primary source

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