Effective AI and human agent collaboration requires orchestration layers that route tasks intelligently between specialised AI agents and human workers, with humans remaining essential for complex cases, escalations, and quality oversight rather than being displaced entirely. Platform vendors are shifting focus from full automation to hybrid models where AI handles routine queries and context-gathering whilst human agents tackle complicated issues faster, with supervisory AI flagging problems for immediate human intervention—meaning your team's role evolves from handling volume to managing exceptions and higher-value interactions.
As vendors and companies hurtle toward multi-AI agent implementations, orchestrating how AI agents interact becomes increasingly important.
While agentic AI can do a lot, there still needs to be a human in the mix to make sure it's all being done correctly, tech execs contend.