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Customer service

Returns Agent

It can understand requests, search knowledge, answer with context, summarize cases and escalate sensitive exceptions, focused on returns. It works with authorized system context, connected tools and verifiable evidence before closing or escalating a case.

Supports the team in returns: understands requests, checks sources, prepares recommendations and executes only actions allowed by permissions and policies.

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Signals, actions and outputs

This model keeps the agent from being just a conversation: it defines what it reads, what it can execute and what it leaves ready for the team.

Input signals

  • Returns requests or alerts
  • Returns operating data
  • Help desk
  • Compensation policy

Connected tools

  • Knowledge search
  • Intent classifier
  • Case updater
  • Response generator

Agent actions

  • Classifies the request within returns and determines urgency, owner and confidence level.
  • Checks knowledge search and intent classifier before recommending or preparing an action.
  • Prepares drafts, tasks, alerts or updates so the team can act faster.
  • Prepares a review packet for service lead or case owner when there is a legal complaint, compensation request, critical customer or overdue SLA in returns.

Operating outputs

  • Actionable returns summary with cited sources
  • Recommendation with confidence, owner and next step
  • Evidence ready for review, audit or operational follow-up

How the agent operates

The cycle starts with context, applies rules, executes actions and ends with reviewable evidence.

01

Reads context

Checks authorized sources, messages, documents or process data.

02

Reasons with limits

Uses guardrails, thresholds and policies to prioritize and decide next steps.

03

Acts or escalates

Runs an automation, prepares an answer or assigns the case to an owner.

04

Leaves evidence

Stores summaries, decisions, errors, files and session traceability.

Operating governance

Guardrails

  • Compensation, case closure, SLA changes or sensitive returns responses require service review.
  • Uses only authorized knowledge search & intent classifier; records case, customer, SLA, suggested response and owner.
  • Does not offer compensation, legal promises or final closures; prepares an approvable response and evidence for returns.

Channels

  • Support portal
  • CRM
  • Web chat

Human handoff

Hands off to service lead or case owner when there is a legal complaint, compensation request, critical customer or overdue SLA in returns.

Evidence

Each interaction can stay linked to session, execution, user, source consulted and proposed or executed action.

Applied real-world pattern

Based on real service-agent deployments that understand intent, search knowledge, execute self-service and transfer with context when needed.

Help desk
Knowledge base
CRM
Chat and WhatsApp

Related agents

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Customer Service Agent

Supports the team in customer service: understands requests, checks sources, prepares recommendations and executes only actions allowed by permissions and policies.

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Support Agent

Supports the team in support: understands requests, checks sources, prepares recommendations and executes only actions allowed by permissions and policies.

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Customer service

SLA Agent

Supports the team in SLA management: understands requests, checks sources, prepares recommendations and executes only actions allowed by permissions and policies.

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Review Returns Agent with a real process

We validate sources, permissions, available tools and escalation criteria before proposing the first deployment.

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