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Customer Service Automation

Deflect tickets and answer customers 24/7 with AI agents and RPA.

Clear

Questions to answer before choosing

Use these three questions to define the job before comparing products.

  • Which channels and languages must the system support?
  • Can it hand uncertain or sensitive cases to a human with full context?
  • How will it connect to your knowledge base, CRM and ticketing system?

When not to automate yet

A short pause can prevent an expensive pilot with no owner or measurable outcome.

Works well when
  • Frequently asked questions with a maintained knowledge base
  • Clear escalation rules and a human support queue
  • Channels where response time matters more than creativity
Verify before buying
  • Accuracy on real historical tickets, not synthetic prompts
  • Data access, redaction and escalation context
  • Who reviews bad answers and updates the knowledge base
Not a magic solution
  • A substitute for fixing a confusing product or policy
  • A reason to hide a human handoff
  • A safe autonomous decision-maker for sensitive cases

Three ways to solve the same problem

Choose the lowest layer that reliably removes the bottleneck.

01

Process first

Standardize the workflow, remove unnecessary steps and measure the bottleneck before buying technology.

02

Software automation

Use workflows, RPA or AI agents when the work is digital and the inputs and exceptions can be defined.

03

Physical robot

Use an arm, AMR, drone or humanoid when movement in the real world is the constraint to remove.

Tools for this scene · 14 tools