MVP Health Care modernizes contact center with generative AI automation

MVP Health Care, a healthcare provider, transformed its contact center operations with Commerce.AI auto-MATE, powered by Azure OpenAI, deploying generative AI to automate and enhance patient communications.

Traditional AI in contact centers offered only basic sentiment detection, limiting the ability to fully understand customer needs and automate routine tasks.

The new solution leverages Azure OpenAI to deeply analyze and comprehend conversations, automate after-call tasks (including data export and reporting), and centralize quality assurance and call analytics.

By implementing this advanced framework, MVP Health Care enabled representatives to dedicate more time to meaningful patient interactions, reducing administrative workload.

Commerce.AI's platform integrates seamlessly with Microsoft business tools such as Dynamics 365, Power BI, and Teams, ensuring security, compliance, and scalability for healthcare.

MVP Health Care reported a 30%-50% productivity increase, faster after-call work, and improved patient experiences from more focused representative attention.

1. 01Manual contact center workflows led to high administrative burden and limited patient interaction quality.
2. 02Traditional AI was insufficient for deep analysis of calls and automatic documentation.
3. 03Managing compliance and security is a high priority in healthcare communications.

1. 01Deployed Commerce.AI auto-MATE framework powered by Azure OpenAI in the MVP Health Care tenant.
2. 02Used generative AI to automate after-call processes, quality assurance, and call analytics.
3. 03Integrated solution with Dynamics 365, Power BI, and Teams for seamless operations.
4. 04Enhanced data security and compliance using Microsoft cloud infrastructure.

1. 01Achieved up to 30%-50% increase in productivity for contact center staff.
2. 02Reduced time spent on after-call documentation and administrative tasks.
3. 03Enabled staff to focus more on meaningful patient interactions and care quality.
4. 04Improved patient satisfaction through faster, more accurate responses.

• Automated after-call workflows
• Improved patient interactions and satisfaction
• Enhanced security and compliance
• Centralized call analytics and QA