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AI In Print: A Business Framework

AI in Print - A Business Framework

Episode Summary: The Business AI Framework for Print
Hosts: Ryan McAbee & Pat McGrew

Artificial Intelligence is rapidly transforming how print businesses operate, but understanding how to implement it responsibly is just as important as understanding the technology itself. In this episode of The Print University, Ryan McAbee and Pat McGrew introduce a practical AI framework for print operations, helping commercial printers, in-plants, packaging converters, and wide-format providers evaluate AI opportunities while managing operational risk.

The conversation begins by clarifying that AI in print is not limited to generative tools like ChatGPT. The industry has already been using forms of AI for years, including computer vision for print inspection, machine learning for predictive maintenance, natural language processing for transcription and translation, robotics for material handling, and expert systems within manufacturing workflows. These technologies are increasingly converging, creating new opportunities for efficiency and automation across the print production lifecycle.

The hosts highlight the growing business case for AI adoption. Predictive maintenance alone can significantly reduce equipment downtime, while AI-assisted communication, workflow automation, and administrative support can return valuable time to staff. However, they caution that AI adoption requires governance. Printers must address issues like data privacy, intellectual property protection, cost management, and human oversight to avoid operational and legal risks.

A major focus of the discussion is the emergence of agentic AI and automation platforms that can execute task-based workflows, such as estimating tools or automated customer communications. While these capabilities open the door to powerful automation, they also require thoughtful implementation and clear policies.

Ultimately, McAbee and McGrew stress that successful AI adoption in print depends on three factors: identifying the right use cases, assigning internal ownership, and establishing an AI governance policy. Printers who take a structured approach can unlock meaningful productivity gains while protecting their business.

You Will Learn

  • The different categories of AI already used in print, including machine learning, computer vision, robotics, and expert systems

  • How predictive maintenance and AI-assisted workflows improve equipment uptime and production efficiency

  • The role of generative AI and agentic AI in automating estimating, communication, and administrative tasks

  • Why AI governance policies and human review are critical for safe implementation

  • How printers can evaluate AI ROI, cost models, and token usage for production-scale automation

  • Practical ways to identify AI use cases in both front-office and back-office print operations

Who This Course is For

  • Print business owners exploring AI adoption strategies in commercial printing, packaging, or wide format

  • Operations managers implementing lean manufacturing training in the printing industry

  • Production leaders seeking MIS software training for print production

  • Prepress and workflow specialists interested in prepress automation training (Kodak Prinergy, Esko)

  • HR and onboarding teams building printing industry training programs for new employees

  • Organizations looking for outsourced training for print production staff

Time to Watch

  • Approximate Runtime: 37 minutes

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