From dashboards to decisions. How do you get AI to recommend next best actions, not just reports

Most contact centers have invested heavily in analytics over the last decade. We have real-time dashboards, workforce reports, customer sentiment analysis, quality monitoring scores, and predictive insights. Yet many leaders still spend hours interpreting reports before taking action.

AI promises to change this by moving from reporting to recommendation. The question is no longer whether AI can tell us what’s happening. The question is whether AI can tell us what to do next and whether organizations are ready to trust those recommendations.

That’s what I’d love for us to unpack together:

• Are contact centers solving the wrong problem by focusing too much on dashboards?
• What is the most valuable ‘next best action’ use case you’ve seen AI deliver?
• How much autonomy should AI have in operational decision-making?
• Why do many AI recommendations fail to get adopted?
• Looking ahead three years, what decisions will AI routinely make in the contact center?