How to harness AI without being a rocket scientist
Start with one internal task with clear data boundaries and compare results manually. Define permitted inputs, reviewers and stop conditions before expanding.
Putting ai workflows into practice
Generated output may omit information or introduce unsupported statements. Separate model output, human approval and execution; a recommendation does not grant release authority.
Checking the result
Test both sufficient and incomplete inputs and compare accuracy, omissions, rework and stopping behaviour. Verify sources and commitments before public release.
