Process orchestration strategy in the age of machine colleagues

As IT leaders rush to embed AI into business processes, critical questions often go unanswered: where does AI actually add value, and how do we ensure it delivers repeatable, reliable outcomes at scale?

This guide breaks down the new spectrum of machine work, including automation, AI workflows, and AI agents, and explains where each makes sense. You’ll get a clear-eyed look at the tradeoffs, the risks, and how to manage complexity with the right type of process orchestration:

• Deterministic orchestration for predictable, repeatable processes
• Dynamic orchestration when adaptability is required
• Agentic orchestration when autonomy and reasoning are part of the job

You’ll also see why process orchestration isn’t just a backend integration task, it’s the strategic layer that ensures all your automation choices work in harmony, with compliance, transparency, and auditability built in.