Today, 95% of AI initiatives fail to reach production. Not because the models aren’t capable. Because the architecture wasn’t built for agents that act.
Enterprise AI has shifted. The first wave — summaries, drafts, recommendations — is closing.
What’s next is execution. Agents that don’t just suggest but do: close tickets, trigger payments, update records, and coordinate workflows across departments. But most architectures weren’t built for any of that.
Traditionally, every integration, every approval gate, every data handoff assumed a person in the middle — reconciling inconsistencies, applying judgment, making calls from institutional knowledge no system had formally captured.
Agents can’t do that. And when you drop them into an architecture that wasn’t built for them, they fail — not loudly, but precisely when it matters most.
In this CIO guide, get key insights on how to accelerate your AI journey.
