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Let’s Talk

Access key insights from global AI and CX leaders to uncover what's really driving success (and what's stalling progress) as AI transforms customer experience

Watch a recorded, candid discussion with top experts and walk away with playbooks, frameworks, and proven tactics you can put into practice the very next day.

What You’ll Learn

  • Why most leaders are behind — and the practical moves to catch up and scale fast
  • How to break through the big blockers: skills gaps, integration headaches, inconsistent metrics
  • The human-in-the-loop safeguards and governance practices that actually work
  • Where the next wave of CX value is: personalization, proactive care, agentic workflows, smarter knowledge management

Why Watch?

For AI Professionals:

  • See which AI for CX use cases deliver real results (digital engagement, customer content development, customer outcomes)
  • Discover proven ways to overcome data, integration, measurement hurdles, compliance & governance concerns
  • Learn how top teams go from experiments to pilots to scalable & measurable business impact

For CX Leaders

  • Get practical frameworks for piloting and scaling AI across journeys
  • Find out how peers upskill staff, manage quality, and drive change
  • Uncover the difference between experiments and true transformation

 

 

Please use the link below to access the live, interactive dashboard. The first tab on the top left highlights the key themes discussed during the webinar, while the second tab provides more detailed data along with various filtering options. Each key themes widget includes interaction tools in the top-right corner of the individual widget, allowing you to copy, download, resize, or request an AI analysis of the displayed data.

Session Q&A

  • Is the industry bifurcating into leaders and followers (late/weak) in the AI world?
    As of today and based on the industries with the highest response rates (our best samples), Comms/Tech/Internet/Electronics takes the lead, boasting the most 'scaling' and 'transforming' programs. Advertising/Marketing follows in second place, with Business Support/Logistics in third and Professional Services in fourth. When focusing solely on companies in the 'transforming' category, Business Support/Logistics comes out on top.
  • When talking about governance I always think about enabling discovery (by people and AI) along with reliability is a major return on governance. What do you think?
    We agree that these traits are clear indicators of, or excellent outcomes from, effective governance. Establishing a structured framework for AI exploration and experimentation is a major advantage of a robust governance approach. In our view, achieving more reliable and measurable value realization is another key benefit of governance. Overall, we strongly believe that solid governance is essential for widespread and successful adoption.
  • Will you be sharing any insights on the prevalence of "workslop" being caused by poor execution of AI?
    We believe this topic was addressed thoroughly in the governance and QA section of the discussion. Slop is a significant challenge, but robust governance frameworks, combined with effective QA processes, can mitigate it. The most effective governance programs are built around a centralized strategy, while the best QA programs integrate multiple methods, such as humans-in-the-loop, audits, and structured feedback mechanisms.
  • Can we download the actual report? I definitely want to dig further into the data.
     You can access the data for each dashboard widget in the first tab. In the top right corner, you'll find options for interacting with the widgets, such as copying, downloading, resizing, and viewing AI explanations. Access the dashboard here: https://dashboards.dasteelconsulting.com/b/AI4CX-results.