In our previous article , we gave your people a ladder. Four skills: Prompt Mastery, Prompt Chaining, Quality Gates, Agentic Readiness, each with a hard measure, each paying for itself before the next rung. If your teams have started climbing, good. Now for the bad news: they’re going to hit a ceiling, and it’s made of questions you haven’t answered.
Enterprise AI
F.L.O.W. Framework: 4-Step to Design AI Agents That Don't Break the Bank
The AI agent gold rush has a bill attached and most leadership teams never read it before signing. Enterprise spending on agentic AI is exploding. The market is projected to grow from $7 billion in 2025 to over $93 billion by 2032 . Every board deck now features “AI agents” on page one. Every vendor promises transformation.
Questions Companies Are Asking About AI Agents
The Questions That Reveal the Market Need The energy in the room was palpable. Not the kind generated by flashy promises, but by focused, urgent inquiry. As our keynote on AI Agents concluded, the wave of hands told a clear story: the market is hungry for AI automation, but stranded without a map.
How we Won the French Tech AI Hackathon
A Test of True AI Mastery The clock struck 4:00 PM on January 16th, and the digital gates opened. For our team at System in Motion, and for six other ambitious teams, the 2026 French Tech AI Hackathon had officially begun. The challenge was a complex, real-world problem from L’Oreal China. The mission was clear — yet immediately intimidating: scale the training of thousands of Beauty Advisors across a market as vast, fragmented, and fast-moving as China.
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