What was the impact of the AI solution?

Clinician productivity increased by 20%. The capacity was expanded to enable 10,000 additional appointments per month. Patient engagement improved due to personalized and timely communication through AI chatbots and telehealth features. Administrative burdens were reduced, allowing staff more time to focus on patient care.

Source

Microsoft

Kry Leverages Microsoft Azure OpenAI for AI-Powered Patient Engagement and Operational Efficiency

Use case typePatient engagementUpdated Jun 13, 2026

Kry, a leading digital-first healthcare provider in Europe, implemented Microsoft Azure OpenAI Service to improve patient engagement and operational efficiency. They used generative AI to automate administrative tasks, personalize patient outreach, enable AI-powered virtual assistants and chatbots for patient interaction, and streamline backend processes such as insurance verification and referral management.

Organization: Kry
Industry: Healthcare
Location: Sweden
Published: September 2025

Reported outcomes

+20%

productivityProductivity & throughput

Strategic outcomes

New product / capabilityLaunched AI-powered patient assistantsScale & capacityExpanded appointment capacityCustomer experience & trustImproved patient engagementCost efficiencyReduced administrative burden

Catalog median for productivity & throughput deployments: +45% across 225 reported metrics. Compare benchmarks →

Primary read

Use case focus

Showing 3 of 3

1AI for patient interaction
2Automation
3Virtual assistants

Healthcare providers face challenges in transforming patient access and reducing administrative burdens to increase clinician productivity.

Kry employed Azure OpenAI Service to create AI-driven virtual assistants and chatbots that handle patient queries 24/7, perform symptom checks, and schedule appointments.
AI-powered automation was used to optimize scheduling, reduce no-show rates, and automate insurance and referral processing.

Technologies

Azure OpenAI

Clinician productivity increased by 20%.
The capacity was expanded to enable 10,000 additional appointments per month.
Patient engagement improved due to personalized and timely communication through AI chatbots and telehealth features.
Administrative burdens were reduced, allowing staff more time to focus on patient care.

Architecture

The solution leverages Azure OpenAI Service for generative AI capabilities. AI-powered virtual assistants and chatbots provide patient interaction and symptom triage. Intelligent scheduling systems optimize patient-provider matching and appointment management. Backend automation includes insurance verification, intake form processing, and referral management. Data integration across EHR, CRM, and patient portals supports unified patient views.

Implementation partners1

Saisystems Technology

Sources & evidence1

Groundedness: 4/5

Primary source

AI-generated summary. Verify important details with the linked sources before relying on this case.

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Customer evidence