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From copilots to AI agents: unlocking true efficiency gains with autonomous processes
- Agentic AI is transforming processes by operating at the process level rather than just assisting individuals.
- This shift enables collaboration among systems, people, and agents to enhance efficiency across workflows.
- At delaware, agents are categorized into three types: retrieval, autonomous, and action agents, which work together seamlessly.
- Agentic AI can be implemented through embedded, configurable, and custom agents, catering to various organization needs.
- Starting with real business pain and involving people are key steps in successful deployment of AI agents.
- Human oversight remains essential in AI processes to ensure trust, transparency, and compliance, especially under regulations like the EU AI Act.
- AI agents should work alongside human teams and be explainable to ensure user adoption and auditability.
- Balancing automation with human involvement is crucial for successful integration of Agentic AI in organizational workflows.
- The combination of process-oriented AI agents and individual copilots is reshaping how organizations function.
- Starting with addressing existing challenges and taking meaningful initial steps are recommended approaches towards AI adoption.
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