From Isolated Agents to an Enterprise Automation Platform
Automation Anywhere’s new EnterpriseClaw is designed to move AI agents out of isolated sandboxes and into full-scale enterprise operations. Traditional claw-style AI agents typically run on a single desktop or in a narrow cloud environment, limiting their impact on complex, end‑to‑end workflows. EnterpriseClaw reframes this model as an enterprise automation platform, orchestrating autonomous AI agents across cloud platforms, user desktops, secured enterprise networks, and on‑premises systems. The emphasis is on AI agent orchestration with centralized governance, observability, and control, so IT and security teams know which agents are running, what they are accessing, and how they are acting. By extending agents into production environments while keeping sensitive data inside protected systems, EnterpriseClaw aims to help organizations shift from experimentation to operational AI—where agents execute business work where it actually happens, not just in isolated tools or test environments.
Hybrid Cloud Management and Behind-the-Firewall Reach
EnterpriseClaw is built on Automation Anywhere’s hybrid cloud‑native deployment architecture, giving organizations flexibility in how and where they run AI agents. The platform is engineered for hybrid cloud management, spanning public cloud workloads, internal data centers, and local desktops. This matters for enterprises with regulated data or legacy systems that cannot leave secure networks. With EnterpriseClaw, agents can investigate processes such as complex customer claims by gathering information directly from desktop applications, on‑premises systems, internal documents, and cloud services, while ensuring that sensitive operational, healthcare, or financial data stays within secured environments. Centralized dashboards and controls are intended to give IT and security leaders clear visibility into the full agent footprint across this diverse estate. The result is a unified layer to coordinate AI-driven work end to end, rather than a patchwork of disconnected bots, scripts, and point automations.
Security and Identity by Design with Cisco and Okta
As AI agents spread across critical workflows, EnterpriseClaw positions AI agent security as a core design principle rather than an afterthought. Cisco AI Defense and DefenseClaw provide a dedicated security layer tailored to the new attack surface created by autonomous agents, from development through deployment. This integration is meant to help enterprises continuously monitor and protect agent behaviors while still encouraging innovation. Okta reinforces this security stack with cross‑agent identity management, authentication, and policy enforcement. By treating AI agents as first‑class identities, organizations can define which systems an agent may access, which actions it may take, and under what conditions it can operate. Together, these capabilities aim to give security and IT leaders fine‑grained control over agent privileges across hybrid environments, reducing the risk of uncontrolled automation while enabling more ambitious, autonomous workflows.
NVIDIA and OpenAI Power Intelligence and Runtime Control
Under the hood, EnterpriseClaw combines advanced AI models with hardened runtime infrastructure from NVIDIA and OpenAI. NVIDIA contributes OpenShell, an open‑source runtime designed for autonomous, self‑evolving agents, as well as NVIDIA NIM microservices and Nemotron open models for on‑premises deployments. This stack is intended to give enterprises performance, transparency, and tighter control over how agents execute tasks in sensitive environments. OpenAI models, including GPT‑5.5, will support enterprise‑grade workflows within EnterpriseClaw, enabling natural language reasoning and complex decision-making for agents operating across systems. On top of these models, Automation Anywhere layers its Process Reasoning Engine and Contextual Intelligence Graph, so agents can understand business processes, apply contextual rules, and deliver more accurate, trustworthy outcomes than a standalone large language model. The combination targets both cognitive depth and operational reliability for mission‑critical work.
A Foundation for the Autonomous Enterprise
Automation Anywhere positions EnterpriseClaw as foundational for the emerging concept of the Autonomous Enterprise, where AI executes work across interconnected systems rather than within isolated applications. The platform is designed to be extensible, supporting internally developed AI agents as well as third‑party agent frameworks alongside existing Automation Anywhere automations. This allows organizations to standardize how they deploy, monitor, and govern diverse agents under a single control plane. For security and IT leaders managing complex hybrid infrastructures, EnterpriseClaw promises clearer visibility into where agents operate, what systems they access, and the capabilities they wield. Currently available in preview, with general availability expected later this year, EnterpriseClaw signals a shift from pilot projects to production-ready AI agent orchestration. Its success will hinge on whether enterprises trust it to balance autonomy, compliance, and control at scale.