Use cases
AI use cases for operations teams.
Four places where an agentic workflow takes routine checking off your team: unusual patterns in operational data, shipment exceptions, security policy reviews, and incoming documents. Each page explains the problem, how the workflow runs, where people stay in control, and when it is not a good fit.
- Anomaly detectionSpot what looks out of placeWatch signals across your operations, surface unusual patterns, and bring the right context to the right person.
- Shipment trackingSpot shipment exceptions earlyFollow movement across systems, detect exceptions early, and coordinate the next step before a delay becomes a surprise.
- Security checksFlag security risks for reviewReview activity against your policies, flag what needs attention, and keep sensitive decisions with your team.
- Document workflowsMove routine work alongRead incoming information, check it against your rules, and route exceptions instead of making people chase every handoff.
What makes a good first use case?
Not every process needs AI or an agent. The best first candidates have four things in common.
- Repeatable decisions
- The same kind of judgement is made many times a week, not once a quarter.
- Usable data
- The inputs reach a system by API, export, EDI, or email, not only in someone’s head.
- Costly handoffs
- Work waits between people or systems, and the wait has a price.
- A clear owner
- One person or team owns the decision the workflow prepares.
Start with a conversation
Have a process that fits?
Bring one process that costs your team time. We'll tell you whether AI fits, which use case it resembles, and what to build first.