Choosing the first enterprise workflow to automate
Find a bounded process with an owner, observable inputs, and a useful way to judge the result.
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Notes for turning AI capability into work your team can operate.
Designing human review into document automation
A review queue works when people can see the evidence, make a bounded decision, and recover from mistakes.
Read the articlePreparing internal knowledge for useful AI retrieval
Useful answers begin with owned sources, preserved context, and a retrieval process you can evaluate.
Read the articleBuild an evaluation set your operations team can use
Turn real process decisions and difficult inputs into a repeatable way to judge an AI workflow.
Read the articleKeep permissions attached to enterprise knowledge
Design access checks, source updates, and deletion paths as part of the retrieval system.
Read the articleDesign retries that do not duplicate work
Treat a timeout as an uncertain outcome and make repeated requests safe for the receiving process.
Read the articleDefine the data contract at every boundary
Agree what a valid record means before connecting AI output to an enterprise system.
Read the articleMap the handoff before choosing a model
A practical way to define the inputs, decisions, owners, and destinations of an AI integration.
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