A customer perspective on multi-agent AI, evaluation, governance, and enterprise use cases
What does it really take to build and deploy AI agents in an enterprise?
In this webinar, Senaca Barnes, AI Solutions Architect at Kaneka Americas Holding, shares Kaneka’s experience building and deploying AI agents across practical enterprise use cases.
The discussion goes beyond the idea of simply asking an AI system a question. It looks at how organizations can use multiple specialized agents, evaluate their responses, connect them to enterprise systems and data, and put the right controls around them.
What You’ll Learn
- How Kaneka identifies the right AI agent use cases
- Moving from a single AI agent to multi-agent workflows
- Use Cases: HR Recruitment, Enterprise Knowledge, Technical Knowledge, and Document Extraction & Review
- How multiple AI agents work together, with each agent focused on a specific task
- How to evaluate AI agent responses and improve response quality
- Using LLM-as-a-Judge for AI evaluation
- Enterprise AI governance, security, auditability, and human oversight
- Choosing between Microsoft Copilot Studio and Microsoft Foundry
- Understanding the cost of AI agents and model calls
- How to Get Started
Have an AI use case or business challenge you’d like to explore?
Join us for a free 4-hour virtual AI workshop. Bring your ideas ohttps://unvired.com/contact/?utm_source=chatgpt.comr business challenges, and our team will help you explore practical next steps.
Contact us: https://unvired.com/contact/
