Peter Kornberg is the Managing Partner of CypherWorks, an AI-first business performance company that helps organizations use AI to drive revenue, profitability, and efficiency. As an entrepreneur and executive with over 15 years of experience driving revenue growth and business transformation, Peter specializes in helping companies apply AI strategically to solve specific business challenges and improve customer experiences. His approach combines AI, customer experience, and business strategy to deliver measurable results.

Businesses are under pressure to adopt AI, but many struggle to determine where it can deliver meaningful value. Without a clear strategy, companies risk spending money on AI tools without improving revenue, profitability, productivity, or customer experience. How can leaders move beyond AI experimentation and use the technology to solve real business problems?

Peter Kornberg, an AI strategy, revenue growth, and business transformation expert, recommends starting with specific business pain points rather than implementing AI to keep up with the trend. He suggests identifying measurable problems, determining which functions affect those metrics, and then developing an AI strategy and implementation plan around them. Peter also emphasizes incorporating customer feedback, establishing systematic feedback loops, measuring ROI through specific use cases, and making incremental AI investments rather than trying to transform everything at once.

In this episode of The Customer Wins, Richard Walker interviews Peter Kornberg, Managing Partner of CypherWorks, about using AI strategically to improve business performance. Peter discusses measuring AI ROI, creating customer feedback loops, and preparing businesses for an AI-first future.