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New integration combines durable execution with real-time authorization and auditability, addressing the next operational challenge for enterprise AI agents SAN FRANCISCO, July 13, 2026 /PRNewswire/ -- Enterprises are discovering that keeping AI agents running is only half the problem. As agents gain access to business systems and operate across increasingly long workflows, organizations face a more difficult question: how to prove that every action an agent takes was permitted, recorded, and recoverable. To address that challenge, OpenBox AI and Temporal today announced an integration that embeds governance directly into the runtime layer used to execute AI agents. By combining Temporal's durable execution platform with OpenBox's authorization and attestation capabilities, enterprises can ensure that long-running agents are not only reliable but accountable. Industry analysts expect governance concerns to become one of the biggest obstacles to AI agent adoption. Gartner predicts that by 2027, 40% of enterprises will scale back or abandon autonomous agents because governance failures emerge only after production incidents. At the same time, organizations are confronting a growing gap between experimentation and production. Agents increasingly operate across systems such as Salesforce, Snowflake, GitHub, Slack, and internal applications, yet many enterprises lack mechanisms...
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