Choose a task with an observable answer
Good first candidates have bounded inputs and a reviewer who can recognize errors. Examples include extracting specified fields from a document, proposing a category for a support request or drafting a response using approved material. These are suggested pilot tasks, not claims of measured improvement.
Avoid starting with an open-ended instruction to “run marketing” or “handle customers.” Those phrases combine many decisions and make it difficult to identify which output succeeded. The NIST AI Risk Management Framework provides voluntary guidance for managing AI-related risks. The generative AI profile addresses risks specific to generative systems.
Choose the tool category after the task
A writing assistant can help prepare text for review. A document extraction service can turn a defined document type into structured fields. An automation platform can route approved output to another system. These capabilities may coexist in a product, but they require different acceptance checks.
| Task | Acceptance evidence | First rollout boundary |
|---|---|---|
| Draft a reply from approved notes | Every factual claim supported by the notes | Save a draft; a person sends it |
| Extract invoice fields | Values match the source document | Queue for approval; no payment |
| Classify a request | Category matches a labeled evaluation set | Escalate uncertain cases |
This is an original evaluation framework dated September 10, 2026, not a vendor benchmark. Do not infer that a tool is authorized to process confidential information just because it can accept an upload. Check the actual service terms and organization settings.
Build a small evaluation set
Collect representative examples that include difficult and ambiguous inputs. Remove unnecessary personal data and use synthetic cases when possible. Write down the expected output or the rubric before comparing products or prompts.
Record accepted results, failures and corrections. A metric such as “drafts generated” counts activity. “Drafts accepted after review” is closer to useful output, but still needs a quality definition. Keep a separate record of unsupported factual statements and missing information.
Keep the action boundary explicit
A draft-producing assistant should not silently gain permission to send messages, modify accounts or commit spending. Use a limited connection for the current task and require a separate decision before adding consequential actions. Treat content from external documents as data rather than instructions to change the workflow.
If the output becomes unreliable, stop the automated step and return to the manual path. Keep the failed inputs for analysis within the organization’s data-handling rules. The process automation guide explains identifiers, duplicate prevention and reconciliation.
Measure the total effort
Compare like-for-like tasks across a stated period. Include the time spent checking, correcting and maintaining the workflow, as well as the subscription and usage costs. Do not report an assumed hourly rate as cash saved unless the business can actually avoid that expense.
Use the software selection method for the pilot and the SaaS cost model for budget planning. Reevaluate when the model, source material or task changes substantially.