AI agents for customer support.
Repeated questions consume your team’s time. An agent can support this routine when there is reliable knowledge, a clear procedure, and a way to hand exceptions to a person.
Create my brief ↗How does an AI agent work in customer support?
It receives a question, consults authorized company information, and prepares a response within defined procedures. Missing information or actions requiring approval are handed to a person.
From request to delivery.
Illustrative structure, subject to scope validation.
- 01
Define what can be answered
List recurring questions and organize the source documents. Policies, timelines, and procedures must be current before delegating responses.
- 02
Consult authorized context
The agent uses sources included in the scope. Looking up an order, for example, requires a validated connection and permission to access the relevant system.
- 03
Handle exceptions with people
Complex complaints, missing information, and actions outside permissions need an owner. Responses can include the reference used to make review easier.
What we need to define.
One specialist may cover a focused knowledge base. Triage, system queries, and response preparation can become separate roles coordinated by an orchestrator when the workflow requires them.
- Frequent questions and approved documents.
- Support channels and request volume.
- Systems that need to be consulted.
- Situations requiring human involvement.
Frequently asked questions
Can I use my own procedures? +
Yes. Knowledge sources and limits are defined for each company. Documents, credentials, and knowledge bases are isolated from other clients.
Can an agent resolve every complaint? +
No. The scope should distinguish recurring questions from exceptions, decisions, and actions that need a person.
Create my brief.
Choose a real task. The brief helps define agents, data, integrations, and human involvement for a tailored proposal.
Create my brief ↗contato@nexobot.tech ↗