A quarter of enterprise teams have gotten a single AI channel into full production — the rest are stuck somewhere behind it.

In this episode, Arun Chandra, Chief Operating Officer at NiCE, explores why that gap persists and what closes it.

The conversation covers getting data, knowledge, and organizational context ready for scale, building the financial case for AI investment with the CFO, and how open protocols like MCP are reshaping enterprise architecture decisions.

This episode is sponsored by NiCE Cognigy.

Learn how leading organizations approach AI investment more like a venture portfolio, and why interdisciplinary collaboration is critical to defining the right data for AI success. Download our free PDF report, “Beginning with AI,” at emerj.com/aik1