Building an AI workforce is an architectural decision, not just a tooling exercise. We will examine why the orchestration layer is the critical differentiator in maintaining governance and context across complex systems—ensuring your AI initiatives remain coordinated, controlled, and aligned with business outcomes.
You’ll learn:
The structural risks of API integrations and agent-led coordination models
How to combine deterministic (rules-based) automation and probabilistic (AI reasoning) agents within a single orchestration layer that directs next steps and manages exceptions
Key considerations for compliance with emerging standards, such as the EU AI Act, by building audit trails and security controls directly into the orchestration framework
How process automation platforms provide the structure and tools AI agents need to be successful—including rules, robots, workflows, APIs, and emerging protocols
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