Verified answers
Ground responses in the knowledge scope approved for the pilot.
SupportBot uses approved company knowledge to prepare grounded answers, show the evidence behind them, and hand uncertain requests to people instead of guessing.
Why is shipment 4817 delayed?
Shipment 4817 is delayed because a port hold was recorded this morning. The current record does not include a confirmed release time, so SupportBot has prepared a cited update and flagged the timing question for human review.
AIWF’s first commercial AI worker is designed for customer-support teams that already have documentation, recurring questions, and a clear escalation path.
Ground responses in the knowledge scope approved for the pilot.
Show the documents or records behind each answer.
Route uncertain or sensitive questions instead of forcing a response.
Bring SupportBot into a customer channel without changing the evidence and review model.
The normal path is evidence first. The exception path makes uncertainty visible instead of hiding it behind a confident answer.
A customer asks: “Why is shipment 4817 delayed?”
A customer asks: “Why is shipment 4817 delayed?”
SupportBot searches only the company knowledge assigned to the workflow.
Relevant shipment information and policy guidance are connected to the response.
A cited answer is delivered when the available evidence supports it.
Only approved outcomes should strengthen trusted business context; a conversation does not automatically become company memory.
The initial focus is logistics and similar businesses where customer questions depend on policies, shipment records, procedures, PDFs, and other operational knowledge.
Initial profile: 10–500 employees.
Customers ask about shipments, policies, service details, documents, and exceptions.
Your team already has approved documents, records, or answers that can define the pilot scope.
There is a person or workflow that should receive requests when the evidence is incomplete or sensitive.
Define the knowledge scope, escalation path, and questions that matter most. Use the pilot to prove the operating model before expanding to more AI workers.