How Softree Transformed Hospital Operations with AI Agents,
Microsoft Copilot & Power Platform
Discover how Softree helped a multi-specialty healthcare provider reduce administrative effort by 58% and accelerate patient scheduling by 46% using AI Agents and Microsoft Power Platform.
Business Process Challenges
A leading multi-specialty healthcare provider struggled with disconnected hospital systems, manual patient scheduling, fragmented referrals, discharge delays, and increasing administrative workloads. Rising patient volumes made it difficult for clinicians and administrative teams to coordinate care efficiently while maintaining high-quality patient experiences.
Our Strategic Approach
Softree designed an AI-powered healthcare operations platform built with Microsoft Copilot Studio, Azure OpenAI, Power Apps, Power Automate, Dataverse, Power BI, and Microsoft Entra ID. Intelligent AI Agents automated patient scheduling, referral management, discharge planning, care coordination, and follow-up workflows while providing real-time operational insights.
How we delivered it.
Explore the Solution Through visuals
What changed for the client.
Within eight months, the healthcare provider achieved a 58% reduction in administrative effort, 46% faster appointment scheduling, 52% faster referral processing, 43% quicker discharge planning, 65% faster patient follow-ups, and a 35% increase in clinician productivity. The solution established a scalable, AI-driven digital healthcare ecosystem supporting continuous operational improvement.
The numbers behind the rollout.
The full integration layer.
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What we offer
- Agentic AI & Automation
- Web Application Development
- Power Platform & SharePoint
- Data Engineering & Power BI
- Mobile App Development
HOW WE CAN EXTEND YOUR TEAM
AI ENGINEERING
- Agentic AI
- AI Automation
- RAG
MICROSOFT
- Azure
- Fabric
- Power Platform
QUALITY ENGINEERING
- AI Testing
- Security Testing
- Automation Testing
SOFTWARE ENGINEERING
- React / Next.js
- Node.js / Python
- FastAPI
CLOUD & DATA
- Azure / AWS
- Data Engineering
- DevOps
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