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Enterprise AI payoff shifts beyond models to mission-critical workflows, Domino CEO says

Domino CEO: AI value shifts to mission-critical workflows; 57% of firms fail to outpace spending.

AI News Feed · 2026-08-28 09:21

Robinson said much of the past few years of adoption has focused on individual desktop productivity, such as tools for drafting emails or making marketing copy, rather than core operations. “That’s not where companies make and lose their revenue. It’s not where they do their innovation, and it’s not where they drive cost cutting,” he said. “At the end of the day, we think the AI needs to be applied in the high consequence, mission critical, core processes of the business.”

Citing data from Domino Data Lab, Robinson said 57% of organizations still struggle to generate returns that outpace their spending. He also said 41% of organizations are piloting or scaling agentic AI without the governance to manage it.

Part of the problem is measurement. Counting seats, tokens or raw adoption tells leaders how much they will spend, not what they earned, Robinson explained. Framing projects purely as cost-reduction exercises also caps the upside before work begins. “I’m very fond of saying the maximum you’re going to save is 100% of your cost,” he said. The leaders in the company’s customer base, he added, are thinking about what AI can do for future innovation and increased revenue.

Trust is the other constraint, particularly as agentic systems scale ahead of guardrails. Domino Data Lab’s answer is a three-layer model: a policy engine that gates projects from initiation through delivery, continuous monitoring and tracing in production, and a human accountable for the outcome. “We still believe that judgment is better than hallucination,” Robinson said. “Despite many of the models being called reasoning models, we don’t think it’s there yet.”

Robinson expects enterprise AI value to migrate away from the models themselves and toward integration, governance and workflow. He pointed to model providers building their own forward-deployed engineering teams as evidence. “They are not marketing that the gap is made up by better AI. They are building companies filled with people to go implement it,” he said.

The interview was part of theCUBE’s coverage of the “Domino In The New Era of AI” exclusive interview. Domino Data Lab sponsored the segment; SiliconANGLE said sponsors do not have editorial control over content.