Since 2026, intelligent agents have become the hottest keyword in enterprise IT procurement. However, a recent public review by Meituan core local commerce CEO Wang Puzhong brought the issue of low agent ROI into sharp focus. Wang revealed that Meituan's February-March "full-staff shrimp farming" initiative caused compute bills to surge, with daily token consumption reaching tens of millions of yuan, while AI-generated errors infiltrated business workflows and disrupted operational decisions.
MIT's August report "The Generative AI Divide" showed that despite 30-40 billion dollars spent on generative AI, 95 percent of pilots produced no measurable commercial returns. The core problem is that most office agents excel at dialogue and content generation but lack the ability to operate across legacy enterprise systems that do not expose APIs or MCP interfaces.
Yisaqi recently launched Automation Magician, a core agent within its APA (Agentic Process Automation) platform. Unlike general agents limited to "dialogue-to-generation," Automation Magician covers the full lifecycle: dialogue, exploration, development, test-run verification, delivery, operation, self-healing, and knowledge precipitation.
The agent accepts natural-language task descriptions, analyzes application interfaces, dynamically plans operation paths, and selects robust element-locating strategies using ID, text, and visual features. After generation, it automatically tests the flow, applies a proprietary test system that runs three times faster and ten times more cost-effectively than computer-use models, and iterates until success criteria are met.
When systems change or controls are updated, the self-healing "reflection loop" replans paths, updates locators, adds branch logic, and resumes execution while producing a repair report. Completed flows can be exported as clean, commented scripts that integrate with existing RPA systems and become reusable enterprise Skills that survive staff turnover.
Security features include encrypted storage of credentials, handling of all captcha types, centralized permission-controlled resource management, full audit trails, and secondary confirmation for high-risk actions. Model calls route through Microsoft Azure operated by 21Vianet in China rather than direct OpenAI endpoints, and runtime execution uses deterministic scripts to eliminate repeated model invocations and associated risks.
At Jiage Food, employees now describe tax-reporting needs in plain language; Automation Magician extracts data, prepares filings, and submits them across heterogeneous systems while automatically adapting to platform updates. A large central SOE financial shared service center has deployed more than 5,800 automated flows, achieving 85 percent overall automation and 90 percent efficiency gains in invoice verification and voucher creation.
Zhongtian Technology, a manufacturer with over 100 billion yuan in annual revenue, runs 22 digital robots across 112 scenarios including quality inspection, contract management, and bidding. The deployment has delivered monthly savings of 90,000 yuan in labor costs, 11 days of work time, and an annual benefit exceeding one million yuan, with overall process efficiency up more than 80 percent.
