In this episode of Exceeding Expectations, host Laurel Rockall is joined by Adam Slonim, a leadership strategist, broadcaster, and AI adviser, to dive into why the most critical factor in AI adoption is how leaders think about control, culture, and the human dimension of work transformation.

What You’ll Learn:

• The critical difference between AI's emotional mimicry and genuine human empathy
  
  
• Why the conversation about AI's impact on work has been fundamentally wrong
  
  
• How metacognition changes everything about leadership's role in directing adaptive, high-performing teams
  
  
• The alignment model that separates high-performing teams using AI from those paralyzed by it
  
  
• Two non-negotiable decisions every leader must make before deploying AI
  
  
• Why the teams achieving the highest productivity and creativity with AI are the ones with the best conversations
  
  

Adam Slonim is a leadership strategist, broadcaster, and AI adviser who works at the intersection of artificial intelligence, human capability, and organizational performance. As founder of Blended Learning Group, Adjunct Fellow at Victoria University, host of Behind the Headlines, and a consultant to the Australian Institute for Machine Learning, government, and industry, he brings a rare combination of fluency in the machine learning frontier alongside decades on the human side of organizations. His work helps leaders move past automation anxiety by bridging emotional intelligence with artificial intelligence, aligning teams around clear expectations, and building cultures where AI is discussed openly and adopted purposefully so that people and technology perform at their best together.

Episode Resources:

• Adam Slonim on LinkedIn
• Laurel Rockall on LinkedIn
• Encore AI Website

In this episode of Exceeding Expectations, host Laurel Rockall is joined by Adam Slonim, a leadership strategist, broadcaster, and AI adviser, to dive into why the most critical factor in AI adoption is how leaders think about control, culture, and the human dimension of work transformation.

What You’ll Learn:

• The critical difference between AI's emotional mimicry and genuine human empathy
  
  
• Why the conversation about AI's impact on work has been fundamentally wrong
  
  
• How metacognition changes everything about leadership's role in directing adaptive, high-performing teams
  
  
• The alignment model that separates high-performing teams using AI from those paralyzed by it
  
  
• Two non-negotiable decisions every leader must make before deploying AI
  
  
• Why the teams achieving the highest productivity and creativity with AI are the ones with the best conversations
  
  

Adam Slonim is a leadership strategist, broadcaster, and AI adviser who works at the intersection of artificial intelligence, human capability, and organizational performance. As founder of Blended Learning Group, Adjunct Fellow at Victoria University, host of Behind the Headlines, and a consultant to the Australian Institute for Machine Learning, government, and industry, he brings a rare combination of fluency in the machine learning frontier alongside decades on the human side of organizations. His work helps leaders move past automation anxiety by bridging emotional intelligence with artificial intelligence, aligning teams around clear expectations, and building cultures where AI is discussed openly and adopted purposefully so that people and technology perform at their best together.

Episode Resources:

• Adam Slonim on LinkedIn
• Laurel Rockall on LinkedIn
• Encore AI Website

In this episode of Exceeding Expectations, host Laurel Rockall is joined by Dan Roth, Chief AI Scientist at Oracle, who explains why language models are powerful but not the reasoning engines most people believe them to be, why the relationship between AI and data runs in both directions, and why most organizations are underinvesting in the data side of that equation.

What You’ll Learn:

• Why language models are generation machines and what that means for enterprise deployment
  
  
• The bidirectional relationship between AI and data that most organizations are only investing in one direction
  
  
• Why information retrieval is far from solved and how models fail at multi-step queries
  
  
• What a semantic data layer is and why it’s the highest-leverage AI investment almost no one is making
  
  
• The concept of visibility of failures and why invisible AI errors are the biggest enterprise risk
  
  
• How AI use is already eroding critical thinking and why leaders must invest in both technology and human judgment
  
  

Dan Roth is Chief AI Scientist at Oracle, bringing decades of experience building enterprise AI systems that actually ship to production. He is one of the rare voices in AI who moves fluently between research and production. Dan previously led the science behind Amazon’s first generative AI products and has published more than 450 papers across natural language understanding, machine learning, and reasoning. His PhD dissertation at Harvard, titled “Learning in Order to Reason,” anticipated ideas the entire field is now converging on three decades later.

Episode Resources:

• Dan Roth on Linkedin: https://www.linkedin.com/in/dan-roth-8667361
• Oracle Website: https://www.linkedin.com/company/oracle
• Laurel Rockall on Linkedin: https://www.linkedin.com/in/laurel-rockall-a73813128
• Encore AI website: https://www.gainencore.ai

In this episode of Exceeding Expectations, host Laurel Rockall sits down with Izge Cengiz Ercan, Senior Vice President and Director of Strategic Innovation at Valley Bank. They discuss how the bank deploys smart AI solutions across commercial lending, prospect outreach, and internal workflows without losing its human core.

Izge Cengiz Ercan is Senior Vice President and Director of Strategic Innovation at Valley Bank, a 95-year-old relationship-focused financial institution. With over 20 years of experience in highly regulated industries, she combines deep technical fluency with a conviction that technology should enhance human connection.

• Izge Cengiz Ercan LinkedIn - https://www.linkedin.com/in/izgecengiz
• Valley Bank Website - https://www.valley.com

What You’ll Learn:

• How to shift your organizational mindset from seeing AI as a workforce threat to treating it as a connectivity solution.
  
  
• Why data trustworthiness is the absolute, non-negotiable prerequisite before implementing any AI strategy.
  
  
• How to engage compliance, legal, and risk partners early as co-builders rather than final checkboxes.
  
  
• Why the hardest part of digital transformation isn't the technological rollout, but preparing and empowering your team.
  
  
• How to scale customer-centricity and use “invisible” AI to deepen real-world human connection.

Quotes:

• “What makes a relationship term real is the context that's around it. So you might know that your customer needs a loan for expansion, but the real relationship piece of it is knowing that they're nervous about this and they need assurances that taking the right steps and with your support will set them for success.”
  
  
• “The reason I believe AI can make us more human is that if we let AI do the non-value-adding transactional pieces of banking.”
  
  
• “I think the starting point for everyone is data trustworthiness. So if you can't trust the data you have, you can't trust the decisions AI can suggest or the direction it can point to.”
  
  
• “In banking, you have to innovate within the limits. We are a regulated industry, and there is no getting around that. So what really worked for us is engaging our partners, like our compliance partners, our legal partners very early on and really paving the road to bringing AI into the bank together.”
  
  
• “If we approach AI as a connectivity solution rather than a workforce threat, we can modernize how work gets done and free our bankers to do more of the human work the clients actually value.”
  
  

Resources:

Encore AI Website - https://www.gainencore.ai

Encore LinkedIn - https://www.linkedin.com/company/encore-ai

Laurel Rockall LinkedIn - https://www.linkedin.com/in/laurel-rockall-a73813128

What does it actually take to deploy AI agents at scale? Not in a proof of concept. In production, with real stakes and real consequences.


Exceeding Expectations, hosted by Laurel Rockall, brings together the business leaders who are navigating this right now. Each episode, one guest sits down to share what they’ve learned, what broke, what scaled, and what they would do differently next time.


If you're in the room where these decisions get made, this show was built for you. Subscribe wherever you listen to podcasts, and join us for the first episode.


Insait Website - https://insait.io/
Insait LinkedIn - https://www.linkedin.com/company/insait-io/
Laurel Rockall LinkedIn - https://www.linkedin.com/in/laurel-rockall-a73813128/