As artificial intelligence enters the critical juncture of the “Agent Era,” enterprise demand for AI is shifting from single-point tool applications to system-level productivity reconstruction. Xi’an Boao Intelligent Technology Co., Ltd. recently released its enterprise-grade AI Agent solution, building a scalable “digital workforce system” based on the OpenClaw multi-agent architecture and Hermes Agent self-evolution capabilities while pursuing controllable, reliable, and sustainable AI operations through Harness Engineering.
Currently, global technology enterprises are accelerating their AI Agent roadmaps, promoting a transition from “using AI” to “building agent-based organizations.” Industry consensus holds that AI Agents have moved from experimental stages to enterprise-level implementation, becoming an important infrastructure for future productivity.
Digital Workforce System Enters Stable Operation Phase
Based on the OpenClaw platform, Boao Intelligent has built a complete daily virtual employee system internally, achieving 70 consecutive days of operation. This system covers core functions including information processing, content production, and project management, marking AI’s transformation from auxiliary role to executing agent.
In practical operations, digital employees have assumed the following responsibilities:
- Information collection and thematic intelligence analysis
- Automatic enterprise content generation and publishing
- Multi-task parallel scheduling and process advancement
- Collaborative decision support during project execution
This continuous stable operation validates the feasibility and scalability of AI Agents in enterprise daily operations.
AI R&D Team Launched, Agents Enter Software Engineering System
Beyond business applications, Boao Intelligent has further built an AI Agent-based virtual R&D team, operational for 30 days. This team covers the complete software development lifecycle, achieving multi-role collaboration from requirements analysis to testing delivery.
The virtual R&D team’s capabilities are primarily reflected in:
- Automatic code and function module generation
- Automatic testing and defect identification
- Automatic participation in requirements decomposition and technical solution design
- Automatic documentation and development record output
Industry research shows that nearly half of AI Agent applications are currently concentrated in software engineering, making it the earliest large-scale deployment scenario. Boao Intelligent’s practice validates that AI Agents are evolving from “programming assistance tools” to “R&D organization participants.”
Technical Architecture: Integration Practice of OpenClaw and Hermes Agent
This released solution is not a single technical approach, but a fusion architecture based on two mainstream Agent systems:
OpenClaw: Multi-Agent Collaborative Execution Hub
OpenClaw is positioned as an enterprise-grade Agent scheduling platform with cross-system connection and multi-role collaboration capabilities. Essentially, it is a “multi-agent operating system” that can uniformly manage tasks, tool calls, and execution processes.
Its core advantage lies in “connection and orchestration,” integrating multiple AI capabilities into a unified execution system.
Hermes Agent: Self-Evolving Intelligent Engine
Hermes Agent represents another technical path: “intelligent agents with continuous learning capabilities.” Its built-in learning闭环 and persistent memory mechanism enable Agents to continuously optimize their capabilities during task execution.
From an architectural perspective, OpenClaw emphasizes system orchestration while Hermes Agent emphasizes cognitive evolution, corresponding to “execution system” and “intelligent agent brain” respectively.
Integration Value
Through its dual-engine architecture, Boao Intelligent has achieved:
- Multi-role scaled execution (OpenClaw)
- Continuous capability evolution (Hermes Agent)
- Long-cycle operation and task闭环
This combined approach is becoming an important direction for current AI Agent engineering implementation.
Harness Engineering: Solving Key Problems in Enterprise AI Deployment
As AI Agents enter enterprise core processes, their “uncontrollability” has become the biggest challenge. Industry research points out that AI engineering is upgrading from Prompt Engineering to “Harness Engineering”—systematic architecture to constrain and manage Agent behavior.
In practice, Boao Intelligent has built an enterprise-oriented Harness Engineering system, focusing on solving:
- Deviation and loss of control during long-task execution
- Conflicts and inconsistencies in multi-Agent collaboration
- Data permissions and security risks
With the large-scale application of Agents like OpenClaw, security and governance have become industry priorities. Relevant research has pointed out that Agent systems have potential risks in permissions and data access, requiring engineering measures for constraint.
Enterprises Are Entering the “Agent-Driven Operation” Stage
As AI Agent capabilities continue to improve, their role is fundamentally changing. From industry trends, AI is no longer limited to conversation and assistance, but gradually assumes execution, decision-making, and collaboration functions. The rapid proliferation of technologies like OpenClaw has made “digital employees” a practical application form.
In this context, the core of enterprise competition is no longer whether to use AI, but the ability to build:
- A sustainably operating Agent system
- A scalable digital workforce organization
- A controllable AI execution mechanism
Boao Intelligent’s Technical Positioning and Development Direction
Based on current practical achievements, Xi’an Boao Intelligent has defined its strategic positioning as:
Enterprise AI Agent Deployment Service Provider and Harness Engineering Solution Provider
In the future, the company will focus on advancing the following directions:
- Scaled deployment of digital workforce systems
- Deep participation of AI R&D teams in software engineering processes
- Standardization of industry-level Agent solutions
- Enterprise AI operating system capability building
Conclusion
From the virtual employee system operating stably for 70 consecutive days to the AI R&D team evolving continuously for 30 days, Boao Intelligent is building a new model of enterprise operation: an organizational structure based on AI Agents.
Against the backdrop of rapid Agent technology development, enterprise digitization is entering a new stage—AI is no longer just a tool, but is becoming a “new productive unit” within organizations.