This guide provides technical teams with practical implementation knowledge for building AI agents in enterprise environments - from agent architectures and workflow orchestration, to multi-agent communication patterns and production deployment strategies. Learn about framework selection, data architecture decisions, lifecycle management best practices and the engineering considerations that determine success in production systems.

This guide introduces AI agents to business users - from what AI agents are, to how AI agents are used in multiple different business unit and industry contexts. Learn about key considerations and decisions needed before deployment and what the roadmap to AI agent deployment is for technical teams.