Agentic AI implementation starts with reimaging the process architectures on paper, much beyond its plug-and-play aura, for successful business implementation.
Agentic AI is autonomous, goal-oriented, and capable of orchestrating and executing a complex multi-agent scenario. Learning from the environment and adapting to the scene is their inherent quality.
Agentic AI acts in different modes, such as a fully autonomous framework, AI agents that augment human capability like a copilot, and AI agents that wait for human oversight and triggers.
This Agentic AI integration becomes easy by adhering to the industry’s best practices.
Agentic AI integrations with existing business infrastructure depend a lot on the type of integration framework, such as legacy or modern.
API-based integration is the preferred mode of leveraging Agentic AI in the existing business process architectures by using a holistic approach.
Even in the absence of APIs, as in the case of legacy systems, Agentic AI integration is possible but risky and entails some trade-offs.
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