Companies spend years building dashboards that told them what to know. Now they’re building AI that tells them what to think.

But what companies actually need is AI that takes action on their best ideas.

Bruno Aziza, VP, Enterprise Software at IBM, shares why so many AI deployments fail — and the frameworks that separate successful implementations from expensive pilot programs.

His insight: one customer now has "50 humans and 150 agents" on their team . The question isn't whether agents will reshape work. It's whether we're building agents that actually do the work.

Key frameworks from this conversation:

→ Agent Minus: The essential pre-agent infrastructure (rules, tools, workflows) that make agents work 

→ Agent Plus: Orchestrating hundreds of agents across vendors and systems 

→ FOMO vs. FOMU: The psychological traps killing AI adoption

The rule Bruno lives by: "Process useful: automate. Process not useful: eliminate."

Most organizations skip step two.

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