The AI Business Catalyst Growth Development Program (GDP) is a six-month, cohort-based program designed for C-suite executives from small and medium-sized businesses. The program supports leaders as they explore, test, and implement AI use cases aligned with real business needs, with hands-on guidance from experienced mentors.
As part of the program, we spoke with two GDP mentors, Emile Languepin, Co-Founder of Beaucoup Data, and Himanshu Joshi, CEO of COHUMAIN Labs, about what successful AI adoption really looks like inside organizations and the leadership shifts required to unlock its value.
While their backgrounds differ, their message to SME leaders is strikingly aligned: AI progress does not start with technology. It starts with focus, curiosity, and respect for human expertise.
Start smaller than you think
One of the most common barriers leaders face is feeling overwhelmed by AI’s scope. Emile Languepin sees this hesitation often and encourages a much simpler entry point.
“You don’t need to understand everything about AI,” he explains. “Start with one problem where you can clearly define what a good outcome looks like, and work to replicate that outcome with technology.”
That emphasis on outcomes over tools helps organizations avoid chasing trends and instead focus on where AI can create real, near-term value.
Himanshu Joshi reinforces this idea from another angle. Leaders frequently assume their work is too complex or custom for AI to be useful.
“Custom work doesn’t mean unpredictable work,” he says. “If something repeats and consistently drains your most valuable talent, that’s where AI can help.”
Focus on freeing your best people
Both mentors return to the same core idea: AI is most powerful when it removes friction from human work.
For Himanshu, that often shows up in documentation, RFPs, and knowledge transfer. These tasks consume enormous time and energy, especially from senior staff.
“Agentic AI allows experienced professionals to focus on solving real problems instead of wrestling with paperwork,” he says. “At the same time, it helps capture hard-won knowledge before it’s lost.”
Emile frames this as a leverage problem, particularly for small and medium-sized businesses.
“The biggest opportunity with AI is doing tremendously more with the same resources,” he notes. “Your team’s depth of knowledge can finally be treated as a strategic asset.”
Leadership sets the tone
Technology alone does not drive adoption. Leadership does.
Both mentors stress the importance of leaders modeling curiosity and learning. For Emile, that starts with being comfortable not having all the answers.
“Get excited about not knowing,” he says. “When leaders show that learning is part of the job, it gives teams permission to experiment.”
That experimentation, however, needs structure. Leaders must also define clear guardrails around governance, ethics, and security so momentum builds responsibly.
Himanshu sees this leadership role as essential to moving organizations from AI curiosity to real results.
“With the right guidance, skepticism turns into confidence,” he says. “People start seeing hours reclaimed, faster processes, and knowledge that once felt fragile becoming durable.”
Turning ambition into action
The Growth Development Program is designed to create exactly these conditions. A focused cohort. Real business challenges. Expert mentors who understand both the technology and the realities of running an organization.
For Emile and Himanshu, successful AI adoption is not about replacing people or chasing hype. It is about helping leaders and teams do their best work, more effectively, and building organizations that are ready to learn, adapt, and grow.
That is where AI’s real impact begins.
