DotBranded / Resource guide
Conversational AI with sources and an escalation path
A conversational assistant should have a defined purpose, a trusted set of information and a clear boundary on what it can do. Begin with the questions it should handle and the situations that require a person.
A workflow to explore
An internal assistant could retrieve a current procedure and provide a source reference. If the material is missing, conflicting or outside its scope, it explains the gap and routes the request to the document owner.
This is an illustrative example, not a claimed client result.
Define the process
- Define the audience, supported questions and prohibited actions.
- Identify approved sources, permissions and document owners.
- Design a human handoff for uncertainty, exceptions and consequential requests.
- Test ordinary questions, misleading inputs, stale documents and unavailable systems.
Keep the boundaries clear
Separate answering a question from taking an action. Limit connected permissions to the intended task. Do not treat instructions inside retrieved material as authority to change the assistant’s rules. Keep pricing, commitments and sensitive decisions under appropriate approval.
Measure what changed
Check answer correctness, source relevance, escalation quality, user experience and the effort required to review exceptions. A high containment rate is not useful if the answers are wrong.
Can it answer every customer question?
No. Define what it can support, make limitations clear and provide an accessible route to a person.
Make the next step practical
DotBranded helps with AI strategy, workflow implementation and team enablement. A proposal defines the agreed scope, responsibilities, timing, fees and any separate software or support costs. Discuss a workflow or explore consulting.