Generative AI Platform Adoption at Scale
7,800 people across a consulting firm needed to start using AI. Not as a novelty. As a daily tool. I led the experience design that made adoption feel inevitable.
Role
Experience Design Lead
Timeline
12 months
Year
2022
Team
Design, Product, Engineering, Change Management
Challenge
60% of the target users didn’t know what the AI platform could do. 40% were afraid of violating data policies. Adoption was concentrated among a small group of tech forward early adopters while the rest of the firm watched from a distance.
The investment was significant. The returns were not. Leadership wanted a platform that 7,800 people would use. What they had was a tool that a few hundred people tried and most forgot about.
The problem wasn’t the technology. It was the experience around it.
Approach
We stopped treating this as a tool launch and started treating it as a behavior change problem.
Instead of one generic interface for everyone, we built role based entry points. Researchers got domain specific prompt templates. Consultants got insight synthesis workflows. Operations teams got efficiency focused use cases. Each version felt purpose built for the way that team actually worked.
The adoption strategy was layered. Micro learning embedded inside the product itself. Peer networks organized by function. Champion programs that turned trusted colleagues into advocates. We designed for what we called “first value moments.” Every user needed to experience something useful in their first session. Not a tutorial. Not a walkthrough. Something they could actually use.
Governance wasn’t handled through restrictions. We built transparent decision trees that helped people make confident choices about when and how to use AI. Safety felt like guidance, not a gate.
The first 100 days were treated as continuous discovery. Weekly cohorts of new users surfaced friction points and misconceptions in real time. We refined messaging, simplified workflows, and celebrated early wins that motivated the next wave.
Outcome
Within 12 months, 7,800 colleagues were actively using the platform across every major function. That’s 89% of the target adoption curve.
The numbers told the real story. 40% faster research cycles. Net Promoter Score at 72. Engagement grew 2.5X in six months. Power users discovered applications the design team never anticipated, which told us this was genuine adoption, not compliance.
The experience created a new operating model: cohort based onboarding that maintained personal attention at scale, role specific experiences that improved with usage data, and an internal community of practice that sustained momentum without the design team driving it.
What surprised me most was how much the champion program mattered. The best adoption driver wasn’t the interface or the training. It was a trusted colleague saying “let me show you how I use this.” If I did it again, I’d invest in that peer network from day one instead of month three.
Key results