Work from approved knowledge
Ground responses in the policies, FAQs and documents selected by your business.
AI agents for customer support
AI agents for customer support—with clear business rules
An effective AI service agent needs the right knowledge, customer context and limits. VexaCS is being designed so businesses can automate suitable requests without giving up control over policies, escalation or the customer experience.
What this adds to your team
Give AI the structure to serve customers well
Follow operational rules
Use defined workflows and escalation conditions instead of improvising every outcome.
Recognise when to step aside
Route low-confidence, sensitive or exceptional cases to the service team.
Explore the solution
From generic chatbot to accountable service agent
Understand before responding
VexaCS agents are being designed to identify intent, retrieve relevant context and check the applicable policy before producing a response.
Operate as part of the team
The agent should not become a separate service silo. Conversations, decisions and handoffs need to stay visible to the people responsible for the customer experience.
AI service agent questions
What requests can an AI agent handle?
The initial focus is on clear, repeatable requests that can be resolved using approved knowledge and predictable workflows.
What happens when the agent is uncertain?
VexaCS is being designed to use confidence and escalation rules so uncertain cases can move to a person.
Can a business control the agent's answers?
The product direction centres on approved knowledge, policies and operational controls defined by the business.