24Design Operations, Design Management

Case Study

Scaling AI Adoption at Enterprise Scale


Enabled 100+ users to adopt and confidently use Gradial by building structured training systems, documentation, and cross-functional enablement workflows.



Revel (Now Tenari)


Overview

At Revel, I led enablement efforts for Gradial, an AI-assisted production platform used by cross-functional teams. As the tool scaled, teams lacked clarity, confidence, and consistency in how to use it effectively. I built structured training systems and documentation to drive adoption, improve usability, and support operational rollout.




Focus Areas

  1. AI platform adoption & enablement
  2. Training system design
  3. Prompt documentation & guidance structure
  4. Cross-functional onboarding and support


100+Users trained across cross-functional teams

Improved confidence and usability of Gradial workflows

Increased adoption of AI-assisted production practices

Established scalable enablement system for ongoing training




Systems I Built


1. Gradial Enablement Program
  • Designed structured training program for new and existing users
  • Created onboarding path for cross-functional teams
  • Simplified platform workflows into clear, repeatable steps
  • Increased confidence in using AI-assisted production tools


2. Training Infrastructure & Office Hours
  • Hosted recurring office hours for real-time support and troubleshooting
  • Delivered live walkthroughs for key workflows and use cases
  • Addressed adoption blockers through direct user feedback
  • Reinforced learning through ongoing reinforcement sessions


3. Prompt Documentation System
  • Developed structured documentation for prompt usage and best practices
  • Standardized how teams approached AI input and output expectations
  • Reduced ambiguity in AI-generated results
  • Improved consistency and reliability of outputs across users


4. Cross-Functional Enablement
  • Supported onboarding across multiple teams and disciplines
  • Translated technical workflows into accessible guidance
  • Aligned stakeholders on consistent usage of Gradial
  • Helped establish shared understanding of AI-assisted production workflows



Results


  • Enabled **100+ users** to successfully adopt Gradial
  • Improved clarity and confidence in AI-assisted workflows
  • Increased consistency in outputs through structured prompt guidance
  • Strengthened cross-functional alignment on platform usage
  • Established scalable training model for ongoing enablement








Outcome 

By building structured enablement systems around Gradial, I helped transform the platform from a complex internal tool into an accessible, widely adopted system. This improved user confidence, increased consistency, and supported scalable AI adoption across teams.








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