Coordinate quote-to-cash and procurement work across ERP, CRM and enterprise systems
Agentin AI is an intelligence layer for enterprise workflows that cross ERP, CRM and procurement systems. It focuses on the coordination work between those systems, such as ensuring that a signed deal becomes a complete order or that invoice information agrees with purchasing records. The product is aimed at finance, revenue operations, procurement and supply-chain teams that repeatedly handle exceptions and reconcile records across several applications.
Agentin’s workflow begins by monitoring orders, purchase orders, invoices, tickets and approvals. It looks for issues such as missing information, duplicate records, price discrepancies, delays and policy exceptions. Rather than presenting each system in isolation, the service is designed to understand the relationship between records along an end-to-end process.
The platform proposes actions with reasons, allowing the team to decide which should require approval and which can be automated. Examples include holding an incomplete order, flagging an invoice, notifying an owner or addressing a duplicate purchase order. The website describes an onboarding progression from observation and recommendations toward execution where the customer is comfortable, with actions recorded for review.
Quote-to-cash is presented as a live workflow, while procure-to-pay is identified as a beta with selected design partners. The listed systems include SAP, Salesforce, NetSuite, ServiceNow, Workday and Dynamics. Setup involves connecting through standard APIs and mapping how the customer’s process actually works, including its exceptions and approval paths.
Agentin is offered through a workflow discussion rather than a published self-serve price. A team evaluating it should identify a specific handoff or reconciliation problem and the systems involved. That scope helps determine what the agents need to observe, which decisions require people and how the returned actions will be reviewed during rollout.
