EnterpriseClaw: Secure & Manage Local AI Agents

Scale across your enterprise

Move past one-agent-one-machine limits. Deploy AI agents in parallel at enterprise scale using proven distributed execution architecture.

Centralize IT governance

Extend existing bot runner governance to your local AI agent fleet. Manage deployment, credentials, audit trails, and AI guardrails from a single pane of glass.

Unlock high-value use cases

Automate sensitive workflows without exposing data to the cloud. Run agents locally on desktops, servers, and locked-down environments with access to systems and data cloud agents can’t touch due to security or compliance.

Orchestrate claws across workflows

Deploy multiple claw agents in an end-to-end process — running in parallel, handing off tasks, and combining outputs so value compounds across a process rather than staying isolated in single-agent tasks.

Uniquely built for local scale.

Deploy any agent framework across your organization, running in managed containers on devices behind your firewall, giving agents local access to files, browsers, terminals, and applications.
Configure governance — policies, access controls, AI guardrails, and credentials — centrally to be enforced locally on every device, with telemetry, audit logs, LLM usage, and execution status reported back.
Enable scenarios impossible for cloud agents like on-premises code generation, legacy UI automation, secure data processing in regulated environments.
Built for regulated industries and strict compliance. Execution never leaves your environment, meeting data residency and audit requirements.

Behind the firewall, handled securely.

What can you do with EnterpriseClaw?

Post-incident log analysis

On systems only accessible on-premises to accelerate security investigations without exposing data externally.

Code generation and debugging

Inside locked-down developer environments where IP must remain secure.

Parallel research

Or analysis tasks executed simultaneously across fleets of machines to speed workflows.

UI automation

For legacy desktop applications that lack APIs or modern integration points.

Compliance-driven workflows

Processes involving sensitive or regulated data with strict residency and compliance requirements that prevent cloud use.

Local file analysis

Analyze large local files with on-premises tools and combine findings with documentation or web research to inform decisions or recommendations.

EnterpriseClaw FAQs

Why can’t cloud agent platforms operate locally?

Cloud platforms target cloud-native agents that interact with SaaS and APIs. They don’t support local OS-level agents that require access to files, terminals, or legacy apps behind firewalls.

How does EnterpriseClaw scale agent deployments?

It leverages the same distributed execution and centralized control architecture that runs Automation Anywhere’s RPA bots at scale, extending this proven infrastructure to local AI agents.

Can I use any AI agent framework?

Yes. EnterpriseClaw is framework-agnostic and supports OpenClaw, Claude Code, and any other local agent technology.

How does governance work across thousands of devices?

Each Agent Runner reports telemetry, audit logs, and status to the Control Room, where IT centrally manages policies, credentials, and AI guardrails, ensuring security and compliance.

What use cases does EnterpriseClaw unlock?

It enables automation in regulated industries, on-premises legacy systems, secure developer environments, and any scenario where data residency or compliance forbids cloud execution.

What environments does EnterpriseClaw support?

EnterpriseClaw runs on desktops, servers, and hosted environments inside your firewall, enabling secure local execution of AI agents.

Can I use non-Automation Anywhere agents?

Yes. EnterpriseClaw supports any agent built on LangChain, CrewAI, Python, or custom frameworks via the open SDK.

How does EnterpriseClaw ensure security?

Local agents inherit security and governance set at the platform level. Policies, credentials, and AI guardrails are configured centrally and enforced locally on every device, with telemetry and audit logs flowing back for full compliance visibility.

Scale the power of local AI agents

Deploy, govern, and secure local AI agents across your entire organization, behind your firewall.

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EnterpriseClaw

Scale Local AI Agents with Central Control and Compliance