AI agents are already reengineering software development, business processes, and customer experiences. Here’s what you need to know.
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At first, robotic process automation coupled with low-code platforms and orchestration tools propelled many organizations to increase productivity and scale business operations. Virtual agents and chatbots then took automation one step further by enabling a conversational experience. Then, large language models (LLMs), vector databases, retrieval augmented generation (RAG), and other generative AI innovations enabled new ways to summarize content, generate code using copilots, and answer questions conversationally.
AI agents combine automation, conversational experiences, and process orchestration capabilities to lead us to the next phase of generative AI evolution and digital transformation. They provide developers, business users, and others with a role-based partner, proactively automating steps and acting as knowledgeable collaborators in getting work done. Integrating genAI technologies with role-based workflows is a key opportunity to deliver transformational generative AI business benefits beyond productivity improvements.
“AI agents are …