eltyoAI assistants for customer service and support
Good customer support often begins with unseen work: finding a file, checking a status, reading earlier messages and identifying the relevant procedure. An assistant can prepare that context so your team can focus on the response and the relationship.
We start with a category of requests your people know well. Together, we identify useful sources, define the expected quality and decide which situations should return to a person. The assistant’s role is built around the way you serve your customers, rather than a generic set of answers.
Help at each point in the journey
Depending on the available tools and agreed scope, the assistant can classify a request, draft a response or gather the information needed to resolve it.
- Identify the subject and information already present in a message.
- Retrieve a procedure or case status from permitted sources.
- Prepare a reply that considers the available conversation history.
- Flag missing information before a response is sent.
- Summarise previous exchanges for the person taking over.
These uses are assessed on representative examples. A fluent response is not enough: its content needs to be accurate, useful and consistent with your service rules. Your team helps define that standard and review the results.
To test automatic assignment with a review queue, start with our guide to support ticket triage.
Keep sensitive moments in the right hands
Complaints, commercial commitments and unusual situations deserve particular care. We define when a person should take over and what context they should receive. Uncertainty should become a visible signal instead of an unchecked answer.
An initial deployment can be limited to draft preparation. Your team keeps approval while evaluating whether the assistance is useful. Any increase in autonomy depends on tests, observed results and your decisions, with its own conditions for review.
Improve quality with feedback from the work
We track measures that fit your activity: relevance, required corrections, preparation time and reasons for escalation. Recurring questions may also reveal a procedure that needs clarification or information that should be easier to find.
This feedback loop connects the assistant, its sources and the team’s practices. Agent oversight gives that review a structure, while adoption support helps users make the most of their new assistance.