Execute autonomous document workflows with Box AI and the OpenAI Agents SDK
Blog post from Box
Managing complex enterprise document workflows has traditionally been challenging due to diverse file formats and unpredictable edge cases, requiring significant custom infrastructure. However, the OpenAI Agents SDK 2.0 now allows Box developers to create reliable, production-ready document workflows without the need for such infrastructure, by leveraging sandbox support and maintaining context across multi-step processes. This integration within Box's Intelligent Content Management platform ensures security, permissions, and governance controls are inherently applied, enabling AI systems to execute workflows more efficiently. The SDK supports multi-agent orchestration, allowing developers to build workflows where agents can autonomously manage tasks like contract review, onboarding, RFP response preparation, and regulatory submissions. This evolution from assistant to executing agent means that tasks requiring manual oversight can now be completed autonomously, providing an operational advantage by increasing speed and scale. The framework's governance, format-agnostic extraction, and auditable decisions further enhance its utility, offering a path to efficient production deployments for organizations.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Multi-agent systems | 2 | 536 | 207 | 77 | -27% |
| Observability | 1 | 4,900 | 921 | 200 | +5% |
| Zero Trust | 1 | 193 | 76 | 29 | -73% |
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