What should enterprises look for in AI agents that automate complex service journeys?

Enterprises evaluating AI for complex service journey automation should prioritize platforms with proven multi-step orchestration capability across the specific systems involved in their journeys - CRM, billing, provisioning, and any industry-specific platforms. Look for robust exception handling, since complex journeys inherently involve more opportunities for unexpected customer responses or system errors than simple transactions. Evaluate how the AI maintains context across a lengthy, multi-turn interaction without losing track of prior steps. Configurable escalation logic that defines exactly when and how a human agent takes over is essential for maintaining service quality on edge cases. Audit trail completeness matters significantly for compliance in regulated industries. Finally, require vendors to demonstrate performance on journey types comparable to your actual use cases rather than relying on generic demos.