This platform approach, done correctly, can anticipate many of the trust, risk, governance, and other potential problems related to AI interoperability, he says.
“By doing the platform-based deployment, you bake in your responsible AI principles,” he adds. “We support the idea of having a well thought out and responsible AI process that supports agent AI integrations and, in terms of operability, cuts across applications, but is governed through the platform.”
Senan also advises CIOs to consider agents that can handle several tasks across multiple applications, instead of stringing several agents from different vendors together to assist an employee. For example, a business analyst in the oil and gas industry may work with a single agent to summarize industry reports from PDFs, process data from the company’s SAP system, and interact with Microsoft’s Office suite, instead of using three agents.
