Request intake
Requesters describe their need in their own words; the agent drafts an order with a supplier suggestion.
An AI agent for procurement handles recurring tasks on its own – capturing requests, drafting orders, chasing delivery dates – and hands over to a person as soon as a decision is needed.
Purchase requests, small orders, status queries and supplier emails tie up a lot of time in operational procurement. AI agents can take these over – with clear rules, approval limits and escalation.
Requesters describe their need in their own words; the agent drafts an order with a supplier suggestion.
Prepare small orders with the preferred supplier – including budget and compliance checks.
Query delivery dates, escalate delays, document complaints.
Connection to SAP, Coupa, Ariba or Onventis – via API or an RPA bridge.
For procurement teams with many small, recurring transactions in indirect procurement – and for requesters who simply want to know when their goods will arrive.
An agent that handles defined tasks day to day – with documented rules, approval limits and hand-over to a person for exceptions.
Which transactions, which rules, which data.
Budget, approvals and escalation to people.
Configure the agent and connect it to your systems.
Review results, refine the rules.
A system that carries out tasks such as request intake, supplier enquiries or status checks on its own – with clearly defined escalation to people. Indirect procurement is a particularly good fit.
Only within the limits you set – for example catalog items below a value threshold from the preferred supplier. Everything else goes for approval.
Managing tail spend: the many small, often irregular purchases that together make up only a small share of spend but cause a lot of effort. AI agents can capture requests here and prepare orders with the preferred supplier.
In a free intro call we look at where your procurement stands on AI and which next step makes sense – readiness check, workshop, tool selection or pilot.