The company's CEO, Craig Karmazin, personally researched AI tools and declared AI a top strategic priority, on par with major historical business pivots. This top-down urgency and executive sponsorship were critical for rapid, company-wide adoption.
Good Karma Brands onboarded employees in weekly cohorts of 50. Earlier groups documented challenges and solutions in group chats, allowing subsequent cohorts to start from a more advanced baseline and avoid common pitfalls, creating a compounding learning effect.
The company initially tracked vanity metrics like message counts and tokens used. They quickly pivoted to measuring AI's success by its tangible business impact, such as increased partner-facing time and the number of workflows automated, avoiding the trap of rewarding mere activity.
When an employee automated a report, the breakthrough idea was not to teach everyone else, but to scale that single automated solution to serve the entire company. This shifted the mindset from individual upskilling to centralized, high-leverage process re-engineering.
Instead of hiring external consultants, Good Karma Brands identified employees creating massive efficiency gains with AI and promoted them into a new role. This empowers internal champions with deep institutional knowledge to scale their impact across the entire organization.
To avoid becoming a simple help desk, the new innovation team uses a scorecard to vet potential projects. Team members, leadership, and even a GPT score each idea against a 30-point rubric. This ensures their bandwidth is focused on strategically aligned, transformational initiatives.
Good Karma Brands found it is easier to teach company processes to an AI-savvy new hire than to teach AI to a process expert. Their experience shows that 'AI hungry and curious' generalists can absorb and reinvent workflows more effectively than incumbent employees can learn and apply new AI tools.