An AI pilot should test one defined workflow before it becomes routine. Specify inputs, outputs, permissions and review rules. This guide concerns implementation; first establish whether the task has a useful business case.
Write the workflow before choosing tools
Describe the trigger, source information and desired result. For example, a new enquiry could generate an internal summary and a suggested response for staff. Keep the original message available and make clear that the suggestion is not sent automatically.
Define what should happen without AI. Structured fields can often be routed with ordinary rules. Reserve AI for tasks involving variable language or unstructured information where its output can be meaningfully evaluated.
Set the human boundary
Name the person who reviews drafts and handles uncertain cases. Identify prohibited commitments such as inventing a price, availability or professional advice. Approved factual information should remain the reference, not whatever the model produces.
Limit access to the inputs needed for the task. Use representative, appropriately handled test data and avoid exposing unnecessary customer information. Confirm provider terms and settings for the actual tools before using live data.
Test success and failure
Create cases covering ordinary requests, missing details, ambiguous wording and unsupported services. Define what a correct output looks like and when the workflow should ask a person. A happy-path demonstration alone is not acceptance.
Test connection failure and the stop mechanism. The team needs visible alerts and a manual recovery route. Keep a record of the action taken without storing excessive or unnecessary content in logs.
Prepare the handover
Document the trigger, rules, accounts, support owner and costs. Teach staff how to review, correct and pause the workflow. Changes to the business offer may require updating the reference information and rerunning acceptance checks.
- Launch narrowly with an agreed review period.
- Compare actual outcomes with the original criteria.
- Expand only after delivery, oversight and recovery work reliably.
A brief you can use to compare proposals
Use the following as an illustrative procurement check, not a promise of results or a fixed package. Ask the provider to turn it into named deliverables, exclusions and a test you can witness before accepting the work.
Use approved example inputs and deliberate failure cases; retain human approval for consequential actions.
A published example to inspect
A public website and documentation ecosystem for an operational workspace connecting teams, business modules and AI agents. Visitors can explore the workspace by module, then move into the documentation for getting-started guidance, integrations and product concepts.
This published example illustrates presentation and visitor flow. It is not evidence of a conversion uplift, a ranking position or a price for your own project. Compare the scope you need with the capabilities actually demonstrated, then ask what would be different for your business.
Primary reference
Microsoft: responsible AI. Use the reference to check terminology and platform requirements when briefing a provider; the proposal still needs to define your own implementation and responsibilities.
Request a pilot proposal
Review the AI investment guide for the business case and AI automation and workflows for implementation support.
Scope a controlled AI pilot with Webility. Bring one task, its owner and the conditions under which a person must intervene.
