ai receipts
Search your own problem
Case study · From the Pluris libraryReceipt no. 3035
What sucked

UserTesting's employees were using AI tools inconsistently and in isolation, some teams had access, most didn't, and there was no shared infrastructure for capturing what was working.

Knowledge stayed siloed. The company had the intent to become AI-enabled but lacked the internal program structure to move from scattered experimentation to coordinated, enterprise-wide capability across 300+ employees.

Technology & SoftwareAI Adoption & Training2–4 months
What they built

Michael Domanic led an internal program that standardized UserTesting's 300+ person workforce on Enterprise ChatGPT and function-specific Custom GPTs, integrated AI into Confluence and Highspot, and built internal governance around responsible use, driving adoption through relevance to existing workflows.

What changed
300+ Employees with AI Access

Generative AI access and enablement extended across the full UserTesting workforce through structured program rollout.

Governed Tool Stack Standardized

Moved from fragmented individual AI usage to standardized Enterprise ChatGPT and Custom GPTs with enterprise governance in place.

Knowledge Systems Integrated

AI embedded into existing Confluence and Highspot workflows, reducing adoption friction by meeting employees in their existing tools.

Time to results
2–4 months
Company size
251-1,000 people
Who did it
Michael Domanic
Director of AI Enablement, UserTesting

Vetted by Pluris.