Supply-chain work depends on information spread across suppliers, systems and people. These are potential applications for an agent built around that work, with defined tasks and clear approval points.
Where an agent could help.
Supplier information. Finding records and documents from approved sources.
Order and delivery updates. Retrieving status from the systems you connect.
Exception triage. Preparing summaries and routing issues to the right people for review.
Built around your systems.
What an agent can do depends on your data, your systems and the scope you agree. Access, data quality and integrations are assessed first. People approve consequential decisions.
Practical check: Choose one recurring task, then list the systems it touches and who approves the outcome. That list shows what an agent would need.
Start with one handoff.
Which handoff slows your team down? A first workflow built around it gives you a way to test the value before going further.
Read more: How to Scope a First AI Agent · AI Agents