Before you begin
Start with one workflow, one source of information, and a named reviewer.
Use sanitized sample data while you are testing the structure and review loop.
Build the workflow
Empromptu AI is strongest when the work can be described as a repeatable loop.
Good first projects include
Extracting structured information from documents
Answering from approved knowledge
Matching people, products, vendors, jobs, or requests
Classifying and prioritizing records
Recommending a next action with reasons
Reviewing a request against rules
Turning interviews or messages into structured insights
Replacing a spreadsheet-based workflow
Adding a bounded AI feature to an existing product
Creating a dashboard around a controlled process
A weaker first prompt is “build an AI employee that runs my company.”
A stronger prompt is “review incoming vendor requests, compare them with five criteria, show exceptions, and let an operations manager approve the final classification.”
Choose work that already happens. Make the first version easier to inspect than the current process.
Common mistakes
Starting with an “AI employee” that has no bounded task.
Choosing a workflow that cannot be inspected.
Building a novel process before understanding the existing one.
Frequently asked questions
Can I use this template for a different industry?
Yes. Replace the role, input, rule set, output, reviewer, and prohibited actions. Keep the first workflow bounded and inspectable.
When should I use production data?
After the structure works with safe examples and the required permissions, security, retention, and review controls are in place.