06 / CONNECT
AI knowledge & inquiry assistants
Organize manuals and common questions to help the team answer faster and hand complex requirements to a person.
Let’s talk about your project ↗What we implement
Knowledge preparation from manuals and service policies
Source-grounded responses with human escalation
Requirement capture, qualification and sales handoff
Evaluation questions, access controls and update routines
Knowledge base, dialogue flows, evaluation report and maintenance guide
Scope, schedule and fees are agreed after discovery. Third-party accounts, hosting and model usage are itemized separately.
Questions about this service
What sources does an AI inquiry assistant use?+
Approved manuals, specifications, warranty, service, MOQ and OEM policies can form a source-linked knowledge base. Questions without enough evidence are escalated to a person.
Can the assistant commit to prices or lead times?+
Behavior is designed around approved policies and permissions. Live stock, pricing, custom compatibility and exceptional commitments need confirmed data or sales handoff rather than model inference.
How is the assistant evaluated and maintained?+
Use realistic inquiry scenarios to test source grounding, escalation and requirement capture. Update sources and review representative questions under the maintenance scope.