Software & Technology · Glossary
AI Agents
AI agents are software systems that use large language models to plan and execute multi-step tasks with tools, memory, and feedback loops, rather than answering single prompts. They can operate applications, query systems, and complete workflows with varying autonomy.
Enterprise adoption centers on well-bounded domains such as support, coding, research, and operations, with human checkpoints where stakes are high. Evaluation, observability, and permissioning are the emerging operational disciplines around them.
In practice
AI agents are used daily in software and technology firms by product managers and developers to automate processes such as data analysis, customer support, and application deployment. These agents drive decisions on resource allocation, task prioritization, and user engagement strategies by efficiently processing complex requests and executing workflows. Their ability to learn from interactions and adapt improves operational efficiency and reduces costs, making them essential for enhancing productivity and delivering competitive advantages in rapidly evolving markets.
Where AI Agents shows up on MarketScale
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