Enterprises Accelerate Business Process Automation with Azure AI Agent Service
Enterprises such as Bristol Myers Squibb and Core42 are leveraging Azure AI Agent Service to automate complex, manual workflows and achieve scalable, secure AI-driven process automation. Azure AI Agent Service brings unified access to models, tools, services, and enterprise connectors, allowing rapid development and deployment of autonomous agents. Customers use these agentic solutions to automate and personalize tasks like sales operations, report generation, customer follow-up, and developer assistance with deep enterprise integration. The service integrates Azure OpenAI, Azure AI Foundry, Azure Logic Apps, Azure Functions, Microsoft Entra ID, and OpenTelemetry for comprehensive agent deployment and management. Enterprises report accelerated AI adoption, improvements in task efficiency and quality, and robust security and monitoring. The platform supports multi-agent systems and orchestrates actions across diverse data sources and applications, enabling flexible high-performance automation.
- Organization
- Bristol Myers Squibb
- Industry
- Tech & Comms
- Location
- United States
- Published
- November 2024
Reported outcomes
Strategic outcomes
Primary read
Use case focus
Showing 3 of 3
- 1Autonomous Agent-Based Business Process Automation
- 2AI-Powered Workflow Orchestration
- 3Multi-Agent Enterprise Automation Systems
- Manual business processes across multiple departments are resource-intensive and slow.
- Lack of secure, scalable agent frameworks to automate complex enterprise workflows.
- Difficulty integrating with various enterprise systems, data sources, and monitoring tools.
- Concerns around enterprise data security, privacy, and regulatory compliance.
- Deployed Azure AI Agent Service integrating Azure OpenAI, Azure AI Foundry, Logic Apps, Functions, Entra ID, and OpenTelemetry.
- Used agentic orchestration frameworks for developing and deploying autonomous and multi-agent solutions.
- Leveraged rich enterprise connectors for actions across Microsoft and third-party systems.
- Adopted robust monitoring, security, and compliance measures built into the platform.
- Accelerated automation and adoption of AI-driven processes.
- Enabled secure, scalable automation of complex business workflows.
- Improved quality, speed, and personalization of enterprise tasks across domains.
- Provided advanced monitoring, observability, and compliance for deployed agents.
Architecture
Azure AI Agent Service combines Azure OpenAI, Azure AI Foundry, Logic Apps for workflow actioning, Azure Functions for code-based interactions, Microsoft Entra ID for authentication and security, and OpenTelemetry for monitoring. Enterprises build agents that ground data with Azure AI Search, SharePoint, and external sources, using connector-based integrations to orchestrate processes across internal and third-party systems. Multi-agent frameworks like AutoGen and Semantic Kernel allow collaborative orchestration of various agents and tools.
Sources & evidence2
AI-generated summary. Verify important details with the linked sources before relying on this case.
Explore related AI use cases
Was this useful?