A mid-size SaaS company’s 60-person marketing team had uneven AI knowledge — most rated 2–3 out of 5 on AI literacy — and was stuck in pilot purgatory, running experiments without scaling results. International content translation cost $20K/month and took six weeks per cycle; video storyboard approval consumed five weeks per production. Without a structured adoption program, AI spend was wasted and team satisfaction was declining.
A25 designed and deployed a structured AI adoption program for a 60-person SaaS marketing team — a custom GPT for international content translation across five languages and Canva’s text-to-image tools for live video storyboarding, both built on existing ChatGPT Enterprise and Canva infrastructure.
A custom GPT, built and tuned in three days, handles international content translation across five languages — reducing reviewer involvement to a single person per language and compressing six-week turnaround cycles to one week. Canva’s text-to-image AI generates visual storyboards live during kickoff calls, enabling real-time creative approval that collapses five sequential approval steps into a single session.
The program opened with executive alignment — working directly with the CMO, VPs, and Directors before any tool was deployed. Structured knowledge-sharing workshops followed, then hands-on sessions and open office hours where teams brought live workflow problems rather than hypotheticals.
For the international content team, a custom GPT was built and tuned in three days on top of existing ChatGPT Enterprise infrastructure. One reviewer per language replaced a 15-person translation workflow, compressing the six-week turnaround to one week and cutting monthly spend from $20K to approximately $2K.
For the video team, Canva’s text-to-image tools were used live during kickoff calls. Storyboards were generated in real time, collapsing five sequential approval steps into a single collaborative session. The full program ran over 12 months, with savings verified through the client’s own internal assessment.
Marketing leaders and CMOs at mid-size SaaS or tech companies with teams already using AI inconsistently; operations or HR leaders responsible for workforce AI upskilling at scale.
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