For many print businesses, AI still feels overwhelming. There are new tools everywhere, constant headlines about transformation and growing pressure to “do something” with artificial intelligence. But in this Dscoop.com webinar hosted by Roy Eitan, the conversation focuses on a more practical question: How do companies actually connect AI to measurable business results?
Roy is joined by Ray Hsu, VP and GM of software firm RapidCanvas, and his teammate Burt White, the company's Strategic Advisor, Supply Chain & Logistics.
The session challenges many of the assumptions businesses often make when approaching AI initiatives. One of the clearest themes throughout the discussion is that companies frequently begin in the wrong place. Instead of starting with operational bottlenecks, profitability goals or workflow challenges, many organizations begin by chasing tools or launching disconnected pilots without a clear business outcome attached.
Roy, Ray and Burt emphasize that successful AI adoption tends to happen when companies tie initiatives directly to financial and operational priorities. Whether the goal is increasing throughput, improving margins, reducing repetitive work or helping teams make faster decisions, AI becomes more valuable when it is embedded into how the business already functions.
AI should almost act like a “second brain” for employees and leadership teams, they said. Instead of forcing people to adapt themselves to rigid systems, the most effective implementations often support the way teams already work, helping surface insights, simplify complexity and accelerate execution.
The presenters draw from experience across more than 100 enterprise AI initiatives, and they bring the conversation back repeatedly to execution, leadership alignment and measurable impact. For print businesses navigating increasing complexity around labor, workflow, customer expectations and profitability, this discussion offers an important reminder that AI strategy works best when it stays connected to business priorities.
