In an era of continuous breakthroughs in artificial intelligence and the deep expansion of application scenarios, AI Agents are driving enterprise Data-AI transformation with an unprecedented intelligent interaction paradigm. Leveraging the Tianxuan MaaS enterprise large model technology foundation, iSoftStone has launched the Tianxuan AutoAgent enterprise intelligent agent orchestration platform. This platform provides a zero-code, one-stop intelligent agent development solution, enabling enterprises to rapidly build customized AI agents and accelerate the full release of Data-AI productivity. The launch of this platform also marks a new phase in iSoftStone's "integrated software-hardware" development strategy.

In Gartner's Top 10 Strategic Technology Trends for 2025 report, "Agentic AI" was ranked as the number one trend, highlighting its central role in enterprise Data-AI transformation. With its advanced intelligent agent orchestration capabilities, multimodal data processing, and powerful scalability, Tianxuan AutoAgent is set to lead the development of a new-generation AI application paradigm, pushing enterprise Data-AI transformation to new heights. The platform introduces five core technological innovations:

1. Language-Level Intelligent Orchestration and Task Decomposition
Tianxuan AutoAgent incorporates a language-level intelligent orchestration engine, which breaks down complex tasks into the smallest executable units (Atomic Execution Unit), ensuring high-precision execution of each subtask by large AI models. This mechanism reduces dependency on a single model's reasoning capabilities, enabling a more robust and efficient enterprise AI execution framework.

2. High-Efficiency Modular Components and Adaptive Expansion Architecture
Leveraging heterogeneous computing adaptation, the platform integrates multi-protocol translation and dynamic component hot-swapping technologies, supporting seamless one-click integration with mainstream APIs and open-source ecosystems. This ensures continuous compatibility with the latest AI advancements, facilitating frictionless upgrades and maintaining an ongoing innovation capability.

3.Fully Decoupled Distributed Agent Scheduling and Parallel Computing Framework

Built on event-driven architecture and microservices architecture, the platform enables fully decoupled interactions between AI Agents, ensuring independent upgrades, scalability, and custom development at any node. This significantly enhances system stability, reliability, and scalability. Also, its parallel computing architecture improves task execution efficiency, ensuring stable and reliable large-scale data processing.

4. Multimodal Code Execution Engine and Intelligent Task Adaptation
The platform supports multiple execution engines and utilizes adaptive task matching algorithms to efficiently handle complex computations and specialized business logic. With adaptive code optimization, it improves code reusability and strengthens AI task adaptability to business rules.

5. Ultra-Fine-Grained Breakpoint Debugging and White-Box Execution
It features ultra-fine-grained breakpoint debugging and enables white-box execution for AI agents. This capability allows developers to precisely debug and optimize task execution logic, monitor performance bottlenecks in real-time, and enhance system stability, interpretability, and debugging efficiency.

With these technological advantages, Tianxuan AutoAgent fully supports the "Develop anywhere, deploy anywhere" philosophy, empowering AI agent development across a wide range of industries and application scenarios. Currently, the Tianxuan AutoAgent Enterprise AI Orchestration Platform has already achieved large-scale enterprise adoption across multiple industries.

• Intelligent Manufacturing | Smart Manufacturing Knowledge Base Agent
  In collaboration with a leading new energy vehicle manufacturer, iSoftStone has integrated its proprietary Tianxuan RAG Plus Intelligent Knowledge Middle Office with Tianxuan AutoAgent to combine production data, process workflows, industry standards, and expert knowledge. This intelligent agent + orchestration system enables enterprises to rapidly build industrial knowledge bases and accelerate smart manufacturing transformation.
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• Sales Enablement | Sales Assistant AI Agent
  Developed in partnership with a large optoelectronics manufacturer, this AI agent leverages semantic understanding, reasoning, and multimodal technologies to provide sales teams with real-time information retrieval, intelligent analysis, and personalized sales recommendations. This enhances customer engagement strategies and boosts conversion rates.

• Energy Industry | Large Model Toolchain Platform

In collaboration with a provincial-level power system company, Tianxuan AutoAgent integrates event-driven architecture, node isolation, and distributed processing with agent templating and full-process responsive monitoring. This significantly improves debugging and deployment efficiency while optimizing AI application performance in the power sector.

• Intelligent R&D | Smart Battery R&D Knowledge Base AI Agent
  Co-developed with a top domestic new energy battery enterprise, this AI agent combines an enterprise-grade RAG expert knowledge base with AutoAgent orchestration technology to enable rapid knowledge accumulation and intelligent retrieval. It enhances enterprise R&D data management and improves knowledge utilization efficiency.

As a core component of iSoftStone's Tianxuan MaaS platform, Tianxuan AutoAgent empowers AI-driven applications with its powerful intelligent orchestration capabilities, modular architecture, and open integration ecosystem. It serves as a crucial enabler of AI-powered business transformation, injecting new momentum into enterprise Data-AI evolution.