Autonomy, a platform-as-a-service for building and scaling production-grade AI agents, announced new integration with Box, the leading intelligent content management platform. This integration gives enterprises a direct path to deploy autonomous workflows that read, write, analyze, and act across large content repositories and connected SaaS systems.
Autonomy brings distributed actor runtime to enterprise AI. This includes automatic parallelism, persistent state, non-human identity, and secure end-to-end encrypted messaging. This allows small teams to build large-scale autonomous systems without having to piece together dozens of infrastructure components or get stuck in lengthy pilot phases. Autonomy enables developers to build intelligent products and deep-work agents that operate continuously, coordinate across multiple SaaS systems, and scale to thousands of concurrent tasks without any infrastructure to manage.
Mrinal Wadhwa, CTO and Founder of Autonomy, said: “Teams can deploy agent systems that watch video, classify content, orchestrate multi-system workflows, and process thousands of documents in parallel, all in seconds. Autonomy opens the next chapter in enterprise AI by giving Box customers the runtime they need to ship custom agent applications.”
“AI agents are only as good as the context and content they have access to,” said Ben Kus, CTO at Box. “By integrating Box AI with Autonomy, developers can automate deep work tasks in seconds, incorporate Box content into any application workflow, and operate at scale within Box's trusted security model. This is a new level of speed and autonomy for enterprise workflows.”
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How Box and Autonomy.Computer work together
The new integration enables customers to:
- Instantly scale deep work tasks. Agents can spawn tens of thousands of subagents to decompose and complete large workflows. Document-heavy processes that once took hours or days can now be completed in seconds.
- Build autonomous workflows across your enterprise. Agents can connect to Box and any number of applications, including Salesforce, ServiceNow, Stripe, Slack, and custom internal tools, turning content hosted in Box into a part of your live automation fabric.
- Add intelligence, memory, and custom tools. Autonomy provides Python functionality, an MCP server, model routing, long-lived memory, and secure messaging to enable teams to build agent systems that operate securely within enterprise governance frameworks.
- Run at production scale. Autonomy's flexible infrastructure allows you to autonomously deploy and scale from one agent to tens of millions of agents without the need for your own servers.
“Companies want AI that actually works, not just abstracts,” said Matthew Gregory, CEO and co-founder of Autonomy. “Box and Autonomy are working together to turn the massive amounts of content stored in Box into fuel for intelligent workflows that run across the enterprise. Together, we enable developers to perform deep work and fully deploy autonomous workflows that can connect to multiple SaaS products.”
customer momentum
Organizations across a variety of industries are already benefiting from consolidation.
- fundwellFintech company replaced complex underwriting workflows with a simple, scalable Autonomy app in less than 30 minutes. The system is now more scalable, runs faster, and is easier to maintain.
- Major non-profit organizationdeployed the Autonomy agent to monitor, classify, and tag large amounts of video content stored in Box. They processed approximately 4,000 files within 15 minutes, unlocking new automation possibilities.
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