Choose a bounded task
Start with a small set of common questions supported by approved knowledge. Define what the assistant may suggest and what it must route to a person. Agree how source information will be maintained.
Putting AI assistance to work in customer support
How a support operation can introduce AI assistance into everyday work with approved knowledge, human review and a clear operating owner.
Client profileStreaming service
Service scopeAgent knowledge and response support
Delivery modelManaged digital CX ↗
The challenge
A useful demo. An awkward workflow.
A streaming service tests an AI assistant for account and subscription questions. The demonstration retrieves useful answers, but agents still have to open another tool, check the source and rewrite suggestions before they can use them.
The pilot has no clear owner for outdated guidance or unexpected responses. The business needs a focused use case that fits the support workflow and can be supervised in daily operation.
The managed-service approach
Start narrow. Build around the agent.
Test in the workflow
Place suggestions where agents already work and show the supporting source. Test representative questions, incomplete requests and known exceptions. Require agent review before a response is sent or an account action is taken.
Operate and improve
Roll out to a trained group with an agreed fallback to normal support. Review incorrect suggestions, agent edits and unresolved questions. Assign owners for knowledge corrections, technical issues and decisions about broader use.
How the model operates
Assistance with human accountability.
Gatestone manages
Workflow design, agent enablement, quality sampling and operational feedback. A service lead keeps the improvement backlog connected to the people using the assistant.
The client retains
Approved content, data-access rules, platform choices and authority for customer-account decisions. The client approves changes to the assistant's permitted scope.
The assistant supports the agent. It does not independently approve refunds, change subscriptions or send unreviewed customer responses.
Intended outcomes
Useful assistance. Visible quality.
Compare assisted and existing workflows for the same question types, including accuracy and customer follow-through.
01Less searching
Measure the effort agents spend locating approved information for eligible questions.
02Reliable suggestions
Review unsupported responses, source accuracy and the extent of agent correction.
03Sustained use
Track adoption alongside agent feedback, quality and requests requiring fallback support.
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