Agentic AI represents a new approach to business automation, enabling systems to act with greater autonomy through the use of intelligent agents and generative AI. By breaking automation into smaller, more specialized agents, organizations can improve adaptability, scale, and decision-making across complex processes.
However, fully autonomous systems introduce challenges around transparency, consistency, and regulatory compliance, especially when decisions are driven solely by large language models. A multi-method Agentic AI approach addresses these challenges by combining agents built with large language models with established automation technologies such as workflows, decision platforms, and predictive analytics. This hybrid architecture enables organizations to balance innovation with control, leveraging existing investments while building more reliable, governable, and effective automation systems.
Multi-Method Agentic AI - Whitepaper
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