Before choosing a model or building a demonstration, define the work the pilot should help someone do. A useful enterprise pilot connects a bounded task with appropriate data, access, infrastructure, evaluation, and human ownership.
Choose one task and its boundaries.
Name the intended users, business owner, permitted actions, and excluded uses. Establish how the work is done today so there is a meaningful comparison, and decide where human review remains necessary.
NIST’s AI Risk Management Framework connects intended purpose and context with risk management and evaluation. For a pilot, that begins with a clear statement of what the application is—and is not—being asked to do.
Inspect the sources before connecting them.
Identify authoritative repositories, content owners, update frequency, duplicates, obsolete material, and formats that need preparation. For a document assistant, try representative questions against the proposed information sources.
Grounding an application requires more than pointing it at a folder. Source selection, retrieval design, freshness, and maintenance all affect whether useful information is available when it is needed.
Keep access boundaries attached to the data.
Trace permissions from the original source into indexes, retrieved context, and responses. Two employees with different document permissions should not be treated as interchangeable test users.
Include classification, provenance, deletion, and refresh behavior in the review. Moving information into an index does not remove its sensitivity or the need for ownership.
Size the whole environment.
Consider ingestion, search, application hosting, model access, connectivity, service limits, monitoring, and cost allocation. Tie infrastructure decisions to the task, the expected use, and the people responsible for running it.
The practical architecture includes application, data, platform, and operational choices. Capacity or integration issues outside the model can still determine whether the pilot is useful.
Agree what the evidence will decide.
Build an evaluation set with ordinary questions, ambiguous requests, missing information, and restricted content. Review usefulness, errors, response time, and cost against the pilot’s stated purpose.
Name the people who review results, approve changes, and can stop the pilot. A successful demonstration is a reason to investigate the next step, rather than proof that the system is ready for unrestricted use.
Bring it into the conversation
A practical checklist.
- Is the task bounded and owned?
- Are data authority, quality, and freshness understood?
- Do permissions survive retrieval and integration?
- Are capacity, connectivity, and costs visible?
- Are evaluation examples and acceptance criteria documented?
- Are human review and stopping authority assigned?
Further reading
Primary references for the principles discussed in this guide.