Orchestrating end-to-end processes While individual AI agents handle specific tasks, agentic flows orchestrate multiple agents to complete entire processes.
Aatish illustrates this with a practical example, saying:“ Say I need to order certain items for an event. Agentic AI would automatically identify the suppliers, create an RFQ, float it to the suppliers and then it’ ll negotiate.”
The key differentiator is comprehensiveness. Rather than isolated task completion, agentic flows execute end-to-end processes. Moreover, each flow should represent a significant portion of a person’ s role.
“ If you consider a tactical buyer,” Aatish goes on,“ they spend maybe 50 % of the time really doing tactical buying. Autonomous negotiation can take that 50 % of effort away.”
The human-in-the-loop approach Despite AI’ s capabilities, Aatish emphasises the importance of maintaining human oversight, particularly during initial implementation.“ Companies would want to ensure they do not take any extra risk,” he says.“ So, initially, we always have a process where there’ s a human in the loop.”
In autonomous negotiation scenarios, for instance, humans review AI-suggested
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