The Gold Bond Enterprise AI Adoption: A 77-Year Legacy Revitalized
Discover the Gold Bond enterprise AI adoption strategy that boosted daily usage from 20% to 71%. Learn how CIO Matt Price transformed a legacy business with AI.
Usage jumped from 20% to 71% in months. At Gold Bond, a 77-year-old legacy promotional products company, the secret to AI success wasn't a shiny chatbot—it was fixing the messy work employees hated. According to VentureBeat, CIO Matt Price didn't just roll out software; he embedded AI into high-friction workflows like messy ERP intake and document processing.
Practical Gold Bond Enterprise AI Adoption: Workflow Integration
Operating in a $20.5 billion industry with 8,500 active customers, Gold Bond faced a logistical nightmare: orders arriving via fax, email, and web in every format imaginable. Price pivoted from manual entry to a multi-model AI strategy. Now, Google Cloud ingests documents while Gemini and OpenAI models extract and structure fields before pushing them into the system.
The results are concrete. Roughly 43% of employees reported saving up to 2 hours a day. Tasks like presentation drafting that once took 4 hours now take only 30 minutes. The company uses a tech-agnostic stack, utilizing Claude for QA and Recraft for virtual branded product mockups, significantly speeding up the client preview phase.
Strategic Change Management
Change management was the hardest part of the journey. Price relied on a 'small cool group' of 8 early adopters to surface use cases and train peers. To ensure safety, he mandated a 'human-in-the-loop' policy for all public-facing content and implemented LibreChat to centralize approved tools and block unauthorized 'shadow' AI. Partnering with Promevo helped bridge the gap between legacy processes and modern AI capabilities.
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