AI in Practice

See how an agent uses business information and tools to complete tasks, with people approving the decisions that need their judgment.

Six checks to help you choose a useful, manageable first project: frequency, rules, data, risk, measurement, and ownership.

A working demo still needs system connections, exception handling, clear permissions, and an owner before a team can rely on it.

How working alongside the team helps engineers understand the problem, test a solution, and support it after launch.

Choose a recurring task with a measurable result and a safe way back to the current process.

Decide what can run automatically, what needs approval, and who handles exceptions before your agent goes live.

Compare the full service: gathering material, planning content, reviewing drafts, publishing, and learning from the response.

Check item codes, stock movements, definitions, locations, inbound orders, and responsibility before building an inventory agent.

Keep requirements, versions, and follow-ups organized while your team makes design decisions and gives final approval.

Compare deployment options against your data, existing systems, maintenance capacity, and response needs.