Intelligence Squared Implementing and scaling AI agents in business
22 snips
Jan 29, 2026 
Ben Kus, CTO at Box and expert in content management and enterprise AI, shares a practical roadmap for becoming AI-ready. He outlines starting with achievable tasks, auditing and consolidating data, enforcing governance, designing measurable pilots, and building agentic automation. Short, concrete steps for scaling AI safely and effectively.
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Data, Not Models, Is The Bottleneck
- AI projects usually fail because of data problems, not model problems.
- Without centralized, accessible data, even the best AI agents cannot deliver business value.
Audit Your Data Architecture First
- Audit both structured and unstructured systems top-down to find where key data lives.
- Prioritize moving critical data into platforms that make it securely available to AI.
Begin With One Clear Use Case
- Start with at least one clear, achievable use case and simple measurable goals.
- Avoid tackling the most complex process first; pick a straightforward target to build experience.