Unlike traditional RPA bots, AI Agents are autonomous AI systems that operate through decision-making rather than fixed rules. While RPA repeats predefined steps exactly as programmed, an AI Agent can decide which steps to take to reach a goal, interact with multiple systems, and adapt to changing conditions.
This distinction becomes clear especially in processes involving unstructured data, many decision points, or coordination across multiple systems. RPA remains the most cost-effective solution for fixed, high-volume, rule-based work such as invoice processing or data entry.
AI Agents excel in more complex scenarios — managing customer requests end to end, orchestrating multiple systems together, or handling requests that arrive in natural language. At TechLink, we analyze your process and help you decide whether you need RPA, an AI Agent, or a hybrid setup combining both, then implement the chosen solution end to end.
