Autonomy, the platform-as-a-service for building and scaling production-grade AI agents, has announced a new integration with Box, the leading Intelligent Content Management platform. This collaboration provides enterprises with a direct way to deploy autonomous workflows that read, write, analyze, and act on content across large repositories and connected SaaS systems, leveraging Autonomy's distributed actor runtime for parallelism, durable state, non-human identities, and secure encrypted messaging.
Quick Intel
Scaling Deep-Work Tasks with Autonomous Agents
The integration allows agents to spawn tens of thousands of sub-agents for parallel processing, completing document-intensive workflows in seconds that previously took hours or days. Autonomy's runtime empowers small teams to create large-scale systems without complex infrastructure, avoiding prolonged pilot phases.
Mrinal Wadhwa, CTO and Founder of Autonomy, highlighted practical applications: "Box customers are using Autonomy to help solve problems that were impossible just a year ago," said Mrinal Wadhwa, CTO and Founder of Autonomy. "Teams can deploy agentic systems that watch videos, classify content, orchestrate multi-system workflows, and process thousands of documents in parallel, all in seconds. Autonomy unlocks the next chapter of enterprise AI by giving Box customers the runtime they need to ship custom agentic applications."
Ben Kus, CTO of Box, emphasized contextual power: "AI agents are only as powerful as the context and content they can access," said Ben Kus, CTO of Box. "With Box AI integrated into Autonomy, developers can automate deep-work tasks in seconds, weave Box content into any application workflow, and operate at massive scale within Box's trusted security model. This is a new level of speed and autonomy for enterprise workflows."
Enterprise-Wide Autonomous Workflows and Intelligence
Agents connect Box with various applications, incorporating content into live automation fabrics. Developers benefit from added intelligence through Python functions, MCP servers, model routing, long-lived memory, and secure messaging, all within enterprise governance.
Matthew Gregory, CEO and co-founder of Autonomy, underscored the focus on actionable AI: "Enterprises are looking for AI that actually does work, not just summarize it," said Matthew Gregory, CEO and co-founder of Autonomy. "Box and Autonomy are collaborating to turn the mass amounts of content stored in Box into fuel for intelligent workflows that operate across the entire enterprise. Together we give developers the ability to fully deploy autonomous workflows that can do deep-work and connect to multiple SaaS products."
Real-World Customer Impact
Early adopters demonstrate value: Fundwell replaced complex underwriting workflows with a scalable Autonomy app deployed in under 30 minutes, achieving better performance and maintainability. A major nonprofit processed approximately 4,000 video files in Box for classification and tagging in less than 15 minutes.
The integration is available immediately, with step-by-step guides or coding agents enabling deployment in under 10 minutes.
This partnership advances enterprise AI by combining Box's content management with Autonomy's agentic runtime, facilitating production-scale autonomous systems that perform deep work across connected tools securely and efficiently.
About Autonomy
Autonomy is a Platform-as-a-Service. Developers use it to build and scale products made of deep work agents that run long, complex tasks on their own. Autonomy handles the infrastructure, identity, messaging, knowledge, and memory layers, so builders can stay focused on their product.
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