Scope a smaller AI feature before committing to a schedule

A focused AI feature can be easier to evaluate than a broad assistant with an open-ended job. The useful constraint is the task it completes, not an arbitrary promise to launch in a particular number of weeks.

For a product owner preparing a build, define the user, approved input, expected output, and review boundary first. Then estimate the work needed to make that path reliable enough for its intended use.

Describe a complete task

An illustrative feature might help a staff member draft a response from approved support documentation. The task includes finding the relevant source, producing a draft, reviewing it, and deciding whether to send it.

A text box connected to a model only covers part of that path. Missing sources, conflicting guidance, and requests outside the documentation also need an answer.

Build the evaluation before expanding the interface

Collect representative examples with expected outcomes. Include an ordinary request, an incomplete request, contradictory information, and a request the system should decline to answer from the available sources.

Have a qualified person review the output. Record unsupported claims and omissions as well as successful cases. Recheck the examples when changing the model, instructions, or source material.

Avoid interpreting one convincing demonstration as evidence of broad reliability.

Agree the production boundary

List the permissions, approved data path, failure behavior, and human decisions. Name the owner responsible for reviewing problems after launch.

A draft assistant should not acquire the ability to send messages merely because an integration makes that convenient. Any new action changes the scope and the consequences of an error.

NIST's AI risk framework treats measurement and management as ongoing work. A launch review is a checkpoint within that work. NIST AI RMF.

Put the schedule after the dependencies

Data access, integrations, security review, user feedback, and operating requirements affect the estimate. A small prototype and a production feature can have different acceptance conditions and schedules.

Separate essential work from optional interface improvements. If a dependency remains unresolved, describe it in the estimate rather than assuming it will disappear.

The custom application guide provides a first-release brief. Choose Application Development for new software, or AI Automation when the feature belongs in an existing workflow. Both require a scope-based estimate.