Operators, not gurus.
We have seen what large companies spend to learn where AI is useful, where it is overkill, and what it takes to make a system survive contact with a real operation. FrictionList brings that discipline to smaller businesses.
Dan Sussman
Dan spent his career at Infosys, one of the world's largest technology services companies, leading enterprise AI work and serving as chief of staff for a $500M business unit. FrictionList grew from a simple frustration: small businesses should be able to get practical AI and operations help without an enterprise-sized engagement.
Felix Steinhauser
Felix led AI strategy at Sixt and brings experience across mobility operations, scheduling, logistics, customer service, transactions, privacy and GDPR. (It's a European thing. We've learned not to argue.)
Two operators. Decades of enterprise AI. A shared allergy to hype.
Behind us, a global network of specialists we pull in when your project calls for them — so you get exactly the expertise you need and never pay for expertise you don't.
The best AI project might be a smaller project.
We care more about removing friction than maximizing the amount of technology. If the software you already own can solve the problem with a better setup, that should be on the table.
Plain language
Explain the work in business terms, not model names and acronyms.
Evidence first
Do not automate a problem because it sounds plausible. Follow the real workflow.
Human judgment stays where it matters
AI can prepare, route and draft. People still own consequential decisions.