About Kamil Banc
Founder, AI Adopters Club
I publish AI Adopters Club, maintain this claims archive, and take on a small number of advisory engagements around practical AI adoption.
Professional Background
My journey into AI implementation began not with a fascination for the technology itself, but with a frustration about how it was being adopted. I watched countless organizations invest heavily in AI initiatives only to see them fail.
Too many AI projects start with solutions looking for problems. My approach is different. I start with the business problem, not the technology.
Over the years, I have developed a framework for AI adoption that focuses on three critical elements: practical implementation patterns, organizational readiness, and continuous measurement.
One of the most important lessons I have learned is that successful AI adoption is fundamentally about people, not technology.
Philosophy & Approach
My philosophy: practical value over theoretical potential. The AI industry is full of hype. My job is to cut through that noise and focus on what actually works.
I believe AI should be treated as a tool for solving specific business problems. I advocate for an incremental approach to AI adoption.
I believe strongly in knowledge sharing and community learning. This is why I founded AI Adopters Club.
AI Adopters Club
In 2023, I founded AI Adopters Club as a community of practitioners focused on practical AI adoption.
We share real case studies, implementation patterns, workflow templates, and honest assessments of what works.
The community now reaches 13,000+ subscribers who want operating leverage instead of recycled AI takes.
Join the Community
Get access to implementation frameworks, case studies, and a community of practitioners.
Get in Touch
I work with organizations across industries to implement AI systems that generate measurable business value.
I can help with:
- AI strategy development and roadmapping
- Implementation of specific AI use cases
- Training and capability building
- ROI measurement and optimization
- LLM integration and workflow design