From Content to Copilot: Building AI Products Customers Actually Use
Speaker
Matt Yorke is the Chief Executive Officer of The Channel Company, a global leader in delivering news, insights, strategy, events, and marketing services for the IT industry. With decades of experience at the intersection of media, marketing, and technology, Matt is a recognized industry leader known for driving transformation and innovation.
Before joining The Channel Company, Matt served as Global Chief Revenue Officer at Foundry (an IDG Inc. company), where he oversaw all revenue streams and spearheaded significant growth through four acquisitions, transforming the company into an integrated marketing technology and data provider. Prior to that, he led digital transformation and M&A initiatives as Chief Digital Officer at Northstar Travel Group and held senior leadership roles at Arizent, OMD, and IDG.
Matt's contributions to the industry have earned him numerous accolades, including Foundry's Outstanding Business Performance Award (2021), Folio Industry Pioneer (2017), and BtoB's Media Business Executive Innovator (2010). Known for his visionary leadership, Matt continues to shape the future of media and marketing technology with a strong focus on growth and innovation.
SUMMARY
Matt Yorke, CEO of The Channel Company, shares how his organization is moving beyond AI experimentation to fully embedding it into workflows, products, and revenue models. By becoming an “AI-powered, human-led” business, the company is transforming editorial content into intelligent, productized experiences that drive engagement, efficiency, and monetization. Through a structured journey, from early pilots to enterprise-wide adoption, they’ve built AI agents that enhance search, accelerate content creation, improve sales effectiveness, and streamline operations. The result is significant time savings, stronger customer insights, and scalable growth. Yorke emphasizes that the real opportunity lies not in the technology itself, but in how organizations adopt, experiment, and empower their teams to use AI to create meaningful business impact.
TRANSCRIPT
[00:00 – 00:01:30] Setting the Stage: AI That Drives Real Value The focus shifts from what AI can do to what is actually being built, adopted, and monetized. Yorke introduces how AI is being embedded into real products and workflows—not just experiments.
[00:01:30 – 00:03:30] Market Context: The Scale of AI Investment AI investment is massive, with hundreds of billions being spent annually—far exceeding historic initiatives like the Apollo program. This signals the seriousness and inevitability of AI transformation across industries.
[00:03:30 – 00:04:30] Industry Impact & Concerns AI is already improving productivity in media and events (e.g., faster content creation, smarter matchmaking), but concerns remain around security and governance.
[00:04:30 – 00:06:00] The AI Transformation Journey Yorke outlines a four-stage journey:
Experimentation (AI novice) Adding AI to workflows Becoming AI-first (retrofitting systems) Becoming AI-native (fully reimagined organization) The goal is to eliminate silos and enable seamless data access through AI agents.
[00:06:00 – 00:07:30] Early Adoption & Learning Phase Initial efforts focused on governance, testing risks, and small pilot groups. Over time, AI was safely expanded across the organization.
[00:07:30 – 00:09:30] Embedding AI into Workflows & Products AI is integrated into editorial, campaign reporting, and customer-facing products—turning content into actionable insights and improving productivity.
[00:09:30 – 00:11:30] Company-Wide Adoption & Cultural Shift AI access was rolled out to nearly all employees, supported by training and internal tools. Leadership reinforces accountability by tying AI usage to hiring decisions and performance.
[00:11:30 – 00:12:30] Measurable Impact
~6.5 hours saved per workflow 70,000+ prompts in two months 27+ AI agents deployed Significant productivity and efficiency gains across teams
[00:12:30 – 00:13:30] Product Example: CRN Answers An AI-powered search experience trained on proprietary content delivers deeper insights, increases engagement (3x search traffic), and creates new monetization opportunities.
[00:13:30 – 00:14:30] Product Example: CIO Pulse AI helps sales teams quickly generate insights and tailor pitches using aggregated research, significantly reducing prep time and improving effectiveness.
[00:14:30 – 00:16:00] Product Example: Aurora (Events Use Case) An AI assistant improves award submission processes, increasing completion rates and enhancing user experience—directly impacting revenue.
[00:16:00 – 00:17:30] Agency Transformation & Efficiency Gains AI reduces project timelines dramatically:
Strategy development: 3 months → 3 weeks Creative development: 3 weeks → 2 days This enables scale and profitability in people-heavy services.
[00:17:30 – 00:18:30] The Bigger Opportunity: Margin Expansion AI enables more revenue with less human cost, fundamentally improving margins and business scalability.
[00:18:30 – 00:19:30] Final Takeaways: Mindset Over Technology
The real barrier is not technology—it’s adoption Avoid overengineering; start small and iterate Empower teams closest to workflows to innovate AI won’t replace people—but people who use AI will outperform those who don’t
