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The Enterprise Computer Use for AgentOS

The AI execution layer that turns decisions into actions across browsers, business systems, and operational tools.
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ACT-2 gives AgentOS a controlled way to operate real business systems, enabling AI agents to perform repeatable workflows where APIs are limited, interfaces change, and execution must be verified.

Enterprise AI Needs Execution

Most AI agents are strong at analysis, planning, and recommendations. But enterprise automation depends on what happens after the decision: entering the required system, following the right process, completing the action, and proving the result.
Generic computer use tools are often built for one-off assistance. In business operations, the harder challenge is consistency: performing the same workflow across changing systems without rebuilding the process every time.
Why generic computer use does not scale easily
One-off task completion does not equal operational automation
Repeated AI reasoning increases cost as volume grows
Business tools change screens, fields, and workflows over time
Multi-step processes require checking, acting, and verification
Many enterprise systems do not expose complete APIs
Teams need traceable records of what was executed

A Computer Use Built
for Enterprise Workflow Execution

ACT-2 is the enterprise Computer Use layer inside AgentOS. It connects AI decisions with the systems where work gets done, including browsers, SaaS platforms, admin panels, internal tools, and operational portals.
Instead of treating computer use as a one-time interaction, ACT-2 is designed as an execution layer for repeatable business processes. It can also be deployed in controlled environments, including on-premise or customer-managed infrastructure, where execution control and system access matter.

From Data Ingestion to Execution-Ready Inputs

Pipeline Builder retrieves, transforms, and prepares enterprise data for ontology and execution.
The pipeline structure connects data processing to ontology and execution.
Explore
ACT-2 maps the target system and identifies the actions needed to complete the task.
Execute
The agent performs the workflow through a controlled computer-use environment.
Reuse
Successful action paths can be saved and applied to similar future tasks.
Adapt
When a screen, field, or workflow changes, ACT-2 can support fallback execution and workflow updates.

Core Capabilities
for Enterprise Computer Use Automation

ACT-2 provides the execution capabilities AI agents need to work across real operational systems, not just respond inside a chat interface.
Controlled System Operation
Operate browsers and business tools through a governed execution layer.
Value:

AI agents can take action without giving up control over the execution environment.
Reusable Workflow Execution
Convert successful task paths into workflows that can be used again.
Value:

Teams can reduce repeated setup and improve consistency across recurring operations.
Cost-Efficient Repetition
Reduce the need to re-reason through the same workflow on every run.
Value:

High-volume automation becomes more economically viable.
Multi-Step Process Handling
Support workflows that involve multiple screens, inputs, checks, and confirmations.
Value:

AI can assist with end-to-end business processes, not only isolated actions.
API-Limited System Coverage
Work across tools and portals where APIs are incomplete, unavailable, or impractical.
Value:

Automation can reach more of the systems businesses already use.
Execution Evidence
Return results, screenshots, change records, and request-level artifacts.
Value:

Teams can audit what happened and connect execution back to the original decision.

Built for Enterprise Operations: Stable and Repetitive Execution

Hosted CUAs are typically optimized for individual task assistance. ACT-2 is built for AgentOS workflows where AI must execute business operations repeatedly, under control, and with measurable outcomes.
The pipeline structure connects data processing to ontology and execution.
Conventional AI assistance
ACT-2
List of search results
Enterprise workflow execution
Re-thinks each task from scratch
Reuses proven action paths
Cost rises with repeated usage
Repetition can become more efficient
Personal assistant model
Execution layer for AI workers
Demo-friendly task completion
Operations-ready automation
Limited verification
Evidence and execution records
Cloud-hosted execution by default
Flexible deployment, including customer-managed and on-premise environments
Blocked by missing APIs
Works across real business interfaces

The Execution Layer That Completes AgentOS

AgentOS connects data, business context, AI decisions, applications, and execution. ACT-2 is the final layer that brings AI workflows into the systems where work actually happens.
1. Pipeline Builder

Prepare data

2. Ontology Manager

Define business meaning and relationships

3. Agent Builder

Design AI agents and execution flows

4. App Builder

Connect business meanings and operational interfaces

Connect business meanings and
operational interfaces

5. ACT-2

Execute real business work

Turn AI Decisions into Enterprise Execution

Contact
Use ACT-2 to bring computer use automation into AgentOS workflows and execute real business processes across operational systems.
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