or manufacture goods, agentic AI transforms raw computational power into practical business solutions.
“ It’ s built on top of generative AI, but it harnesses it for business use,” Aatish says.
Rethinking the procurement framework Traditional procurement has long operated within the source-to-pay( S2P) framework, encompassing strategic sourcing through to tactical procurement processes.
However, Aatish argues this model overlooks a crucial element:“ One of the things people miss out on the left side is the interaction with the business users, your stakeholders in the company, which is intake because a lot of communication happens through the business users through emails, calls and so on. It was messy.”
This oversight has significant consequences. Even exemplary procurement work can result in dissatisfied users due to poor interaction experiences and extended cycle times.
“ You might do a good procurement job, but your users are unhappy because of the interaction and the cycle time,” he explains.
The intake-to-outcome model addresses this gap:“ Intake is your front door to procurement and it goes through source-to-pay and AI to give you outcomes.”
These outcomes must be tangible – increased productivity, reduced cycle times and enhanced savings.
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