The demo was perfect. Then deployment happened.
If your contact center AI “worked” in a pilot but fell apart in production - this episode explains why.
Max Clark sits down with Jim K. Tennant (VP, Channel Sales at Observe.AI) to unpack the real reasons contact center AI projects fail after approval: weak data foundations, missing guardrails, messy knowledge sources, agent adoption breakdowns, and bots that can’t recover when customers go off-script. They also dig into what actually works—call analytics → automated QA → agent assist → targeted automation, and how to reduce churn and handle time without wrecking CSAT.
Watch this before your AI pilot turns into an expensive failure.
