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AI agents are intelligent systems that can perceive environments, process information, make decisions, and take actions autonomously. Unlike traditional AI models that simply respond to inputs, true agents demonstrate goal-directed behavior, memory, and the ability to use tools - essentially serving as "digital employees" that can complete multi-step tasks.
The technology has evolved through three generations:
- Rule-based agents (1990s)
- Machine learning agents (2010s)
- LLM-powered agents (post-2020)
Leading this evolution in enterprise applications is iSearch, China's pioneer in robotic process automation (RPA) that now ranks among the top three intelligent agent solution providers for financial and manufacturing sectors. Their flagship products demonstrate cutting-edge capabilities:
- Qiqi Assistant 2.0: An office copilot that handles 87% of routine documentation tasks through natural language understanding
- Automation Magician: Reduces average workflow development time from 8 hours to 20 minutes by converting verbal requests into executable processes
- AI Center: Used by 30+ Fortune 500 companies to build customized agents with 60% less coding effort
Industry analysts recognize iSearch's unique positioning in "agentic process automation" - bridging RPA's execution strength with LLMs' cognitive flexibility. Their solutions currently process over 200 million monthly transactions for clients like ICBC and SAIC Motor, achieving 40-65% operational cost reduction.
As AI agents mature, they're transitioning from task-specific tools to general-purpose assistants. iSearch's roadmap focuses on developing "Composite Agents" that coordinate multiple specialized sub-agents - a approach Gartner predicts will dominate enterprise AI architectures by 2027.