Episode Overview

In this episode of AI Leadership Lab,Ryan sits down with Jeff Lurie, Chief Business Officer of Perigon, to explore how AI is transforming the way organizations consume and act on news and real-time information. Jeff unpacks the fundamental problem of information overload explains how AI is needed to go beyond basic keyword monitoring to deliver structured, actionable intelligence. For anyone who has wrestled with clunky, expensive media monitoring tools or wasted hours sifting through irrelevant alerts, this conversation offers ideas on how to stay informed with AI.

Key Takeaways

AI Monitoring vs. On-Demand Search: Two Different Tools ChatGPT and similar tools are great for on-demand, in-the-moment queries but they are not built for proactive monitoring. Perigon is designed to continuously watch hundreds of thousands of global sources without requiring users to ask for detailed updates.

Actionable Intelligence, Not Just Data

There is a wide gap between raw data and useful decisions — closing it will take better context, categorization, and entity recognition.

Conversational AI Keeps Humans in Charge

Some companies are going further than just keeping a "human in the loop." Perigon's agent is designed to ask follow-up clarifying questions rather than make assumptions, ensuring users stay in control of their monitoring setup.

Hyper-Specificity Across a Multi-Persona Market

Perigon's customer base across comms, financial institutions, law firms, and marketers share the common thread of needing to make precise decisions based on published data, whether the use case is brand tracking, competitive intelligence, or lead generation.

The Future Is Agentic and Predictive

Jeff outlines Perigon's roadmap vision: delivering intelligence directly into the tools people already use Slack, Google Sheets, HubSpot without requiring a login to yet another dashboard. One trend he spots is that platforms in this space will proactively suggest monitoring signals based on a user's past behavior, much like how Amazon anticipates consumer preferences.

Chapter Timestamps

[00:00] The problem Perigon is solving: taking monitoring to actionable intelligence

[01:32] The spectrum of existing tools: too much vs. too little

[03:00] Information overload as a centuries-old problem

[03:41] Design flaws in legacy tools and the birth of the business

[05:02] How natural language prompting changes the user experience

[06:18] The AI analyst model follow-up questions and human control

[07:00] Why ChatGPT alone is not a substitute for proactive monitoring

[08:22] How results are delivered: tables, briefings, real-time alerts

[09:44] Who uses Perigon and why the multi-persona market is both exciting and challenging

[11:12] Global sourcing and language translation capabilities

[11:39] What's next: agentic delivery and predictive signal suggestions

About the Guest

Jeff Lurie is the Chief Business Officer of Perigon. With a background spanning sales, strategy, and business development in the data and media technology space, Jeff focuses on helping organizations move from passive information consumption to proactive, decision-ready intelligence.

At Perigon, Jeff works closely with customers across communications, finance, legal, and marketing to ensure the platform delivers precision at scale. His approach to product evangelism centers on conversation encouraging users to simply describe their needs in plain language and working with AI to handle the refinement.

Connect with Jeff & Perigon

Perigon Website: https://www.goperigon.com

LinkedIn (Jeff Lurie):https://www.linkedin.com/in/jeffry-lurie/

Episode Overview

In this episode recorded at the World Economic Forum in Davos, Ryan sits down with Johnny Ayers, CEO of Socure, to discuss the evolving challenges of identity verification, fraud prevention, and trust in an age of AI-powered deepfakes and digital doppelgangers.

Key quotes

"The ability to discern between a human and a video feed, two years ago, you could see it with a naked eye. You can't see it anymore."

"It's surprising that more folks haven't talked about how and when and where you can trust a counterparty on the internet."

"A lot of AI is just creating average, right? It's creating stories that already exist. It's creating facts that, you know, humanity already knows. And that there's not a lot of creative breakthroughs."

Themes discussed:

Ayers shares insights on:

• The trade-offs between moving fast and ensuring accuracy when building mission-critical systems

• Why the internet's trust problem may become the defining conversation of 2026 and 2027.

• The ease with which anyone can create digital twins and voice clones

• The surprising lack of conversation at Davos about trust on the internet

• Age verification requirements

• The difference between high-stakes algorithms (KYC, AML) and experimental AI applications

• Extensive testing frameworks for facial biometrics and accessibility

• Testing for racial, age, and geographic biases before production deployment

• When companies should leverage external partners vs. building internally

• The value of unique data assets that see consumer behavior at scale

• Combining institutional insights with third-party expertise for optimal decisions

• Setting up agents correctly with degrees of freedom and autonomy to become "maestros of our agentic orchestra"

• Human traffic to machine traffic ratios shifting from 1:2 to 1:90

• AI's tendency to create "average" content based on existing information

• The continued importance of creative breakthroughs and novel patents

• Areas where human ingenuity remains irreplaceable

• Fraud proliferation across banking, lending, insurance, and government

• Workforce fraud: fake employees, resumes, and interviews

More about Socure: https://www.mckinsey.com/industries/financial-services/our-insights/a-question-of-identity-talking-with-socures-johnny-ayers

More about Ayers:

https://www.linkedin.com/in/johnnyayers/

Episode Summary: In this compelling conversation, Nitin Mittal shares insights from his unique position as the AI strategy leader across Deloitte's global operations.

From scaling AI implementations across Fortune 500 companies to navigating the rapid evolution from predictive AI to generative AI, Nitin discusses the practical realities of enterprise AI adoption. He explores the critical importance of trust frameworks, the emerging role of agentic AI, and why he believes we're entering a transformative period where AI will fundamentally reshape how organizations operate and compete.

Key quotes

"Trust is not just a nice-to-have in AI — it's the foundation. Without it, even the most sophisticated AI system will fail to deliver value."

"We've moved from asking 'Can AI do this?' to 'How quickly can we scale AI to do this across our entire organization?'"

"The organizations that will win with AI aren't necessarily those with the best technology, but those with the best change management and cultural readiness."

"Agentic AI represents a fundamental shift—we're moving from AI as a tool to AI as a colleague."

Top themes

1. Trust is foundational - Organizations must establish robust trust frameworks before scaling AI

2. Culture drives adoption - Technology alone isn't enough; successful AI transformation requires cultural change

3. Generative AI is transformative - The shift from predictive to generative AI represents a step-change in enterprise capabilities

4. Agentic AI is emerging - Autonomous AI agents will be the next major wave of innovation

5. Change management matters - The human side of AI transformation often determines success or failure

   
   

About the guest

• Career path from engineering to leading global AI strategy at Deloitte

• Transition from traditional consulting to AI-focused leadership

• Nitin works with Fortune 500 companies to navigate the complexities of enterprise AI adoption. His focus on trustworthy AI and practical implementation has made him a sought-after voice on the future of AI in business.

  Nitin Mittal on LinkedIn - linkedin.com/in/nitinmittal0101

  Deloitte AI Institute - deloitte.com

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