Neuro Gum Achieves 50% Productivity Boost and $20,000-Plus Legal Savings with ChatGPT Business
Published on December 1, 2025
In an era where efficient scaling is the name of the game, Neuro Gum & Mints has carved out a competitive edge by integrating ChatGPT Business into its core operations. Since launching in a Los Angeles apartment, co-founders Ryan Chen and Kent Yoshimura have grown Neuro into a nine-figure consumer-goods brand with fewer than seventy employees. By adopting ChatGPT Business, Neuro reports a measurable 50% increase in team productivity and more than $20,000 saved in legal fees—proof that AI automation can deliver tangible ROI for modern enterprises.
Saving Tens of Thousands with an AI “Second Brain”
Neuro’s lean organizational model demands that every team member function as a generalist. ChatGPT Business has become their “second brain,” assisting in everything from drafting regulatory documents to brainstorming new product landmarks. According to COO Tyler Gianesini, “ChatGPT acts like an expert consultant, filling the gaps without the headcount.”
- Legal and compliance: Neuro drafts and stress-tests contracts in ChatGPT Business before passing them to external counsel, trimming weeks of back-and-forth and slashing legal costs by upwards of $20,000 per quarter.
- Executive brainstorming: Distributed across multiple time zones, Neuro’s team leverages ChatGPT’s 24/7 availability to refine ideas overnight, reducing meeting time by 30% and freeing up managers to focus on high-impact tasks.
Unearthing Revenue Opportunities in Data
Beyond cost savings, Neuro uses ChatGPT Business to mine customer insights at scale. By uploading customer reviews, sales spreadsheets, and social-media engagement metrics into a single workspace, Neuro’s analysts surface actionable trends in under an hour—tasks that once took days or weeks.
- Sentiment analysis: Identified a growing demand for fruit-flavored mints, leading to the strawberry cake launch, which accounted for 8% of monthly e-commerce sales within its first two weeks.
- Media optimization: Feeding campaign performance data from Amazon, TikTok, and Meta into ChatGPT helped Neuro reallocate ad spend more efficiently. The brand saw a 25% uplift in return on ad spend (ROAS) by doubling down on top-performing video creators.
Turning Product Insights into Viral Campaigns
Neuro’s marketing team, once steeped in scientific jargon, now partners with ChatGPT to translate ingredient science into consumer-friendly storytelling. The result? Thousands of TikTok influencers creating authentic content that’s been viewed over one billion times.
- Custom GPT prompts: Developed campaign hooks targeting specific demographics—night-shift nurses, marathon gamers, busy parents—boosting engagement rates by 40%.
- Creative agility: With AI-powered script drafting and storyboard generation, campaign rollout time has halved, enabling Neuro to ride viral trends in real time.
Staying Lean While Scaling Nationwide
As Neuro expands into CVS and other national retailers, efficiency remains critical. The deep-research feature in ChatGPT Business now supports finance modeling, from cap tables to investor agreements, helping Neuro remain resourceful as it grows. “I feel 50% more efficient—maybe more,” Chen estimates.
According to a 2024 McKinsey report, companies that adopt AI at scale can boost operational productivity by up to 40%, echoing Neuro’s internal metrics. By embedding ChatGPT Business across legal, marketing, finance, and supply chain workflows, Neuro Gum exemplifies how AI automation translates directly into cost savings, revenue growth, and agile scaling.
Conclusion
Neuro Gum & Mints’s success story underscores a simple truth: AI isn’t a futuristic luxury but a practical tool for modern business transformation. From saving tens of thousands in fees to unlocking new revenue streams and fueling viral growth, ChatGPT Business has become an indispensable “teammate” in Neuro’s lean, high-velocity playbook. For enterprises seeking measurable AI benefits, Neuro’s experience offers both inspiration and a proven blueprint.
Źródła: OpenAI, McKinsey & Company