A company piloted a general-purpose AI agent that could handle a range of tasks, initially using it for event support and basic customer queries, achieving about 20% of the performance of a specialized qualified agent but delivering instant responses. The agent’s early success—cutting response times from a week to near‑instant and handling roughly 90% of routine questions—prompted the team to expand its capabilities. In a second phase, they shifted from a horizontal, catch‑all model to building twelve verticalized agents tailored to specific functions such as SDR, BDR, and marketing. This iterative approach allowed them to quickly realize ROI and then deepen specialization across business units.
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