Support Customer Service Agents with AI That Works

AI for customer service agents does more than automate—it helps real people work faster, answer better, and stay consistent.

Faster resolutions with real-time agent suggestions
Improve answers using AI customer service software
Keep quality high across every channel and shift

Nudge expiring offer

Riley, Sales Reminder Agent

Qualify a student lead

Avery, Course Inquiry Agent

Get a payment reminder

Casey, Payment Reminder Agent

Qualify a patient lead

Jordan, Healthcare Intake Agent

Qualify insurance lead

Taylor, Insurance Intake Agent

Accept updated terms

Quinn, T&C Acceptance Agent

Qualify legal inquiry

Drew, Legal Intake Agent

Get post-interview feedback

Jamie, Candidate Feedback Agent

Pre-screen a candidate

Skyler, Applicant Pre-screen Agent

Confirm account action

Morgan, Action Reminder Agent

Get a renewal reminder

Logan, Subscription Renewal Agent

Get CSAT after support

Morgan, CX Feedback Agent

Get NPS or demo feedback

Parker, Post-Sales Feedback Agent

Qualify a trial lead

Blake, Trial Signup Qualifier

@Riley Riley calling

Drop a number and Riley from PromptReach will call to confirm interest or consent.

@Avery Avery calling

Drop a number and Avery from EnrollIQ will check fit, goals, and eligibility.

@Casey Casey calling

Drop a number and Casey from FinPrompt will call to confirm payment status or offer support.

@Jordan Jordan calling

Drop a number and Jordan from CareBridge will call to check care needs, coverage, and eligibility.

@Taylor Taylor calling

Drop a number and Taylor from CoverPath will call to confirm interest, needs, and eligibility.

@Quinn Quinn calling

Drop a number and Quinn from LegalEcho will notify users of updated terms and capture verbal acceptance.

@Jamie Jamie calling

Drop a number and Jamie from HireSignal will call to collect feedback after interviews or placements.

@Skyler Skyler calling

Drop a number and Skyler from HireSignal will call to check location, experience, and job expectations.

@Morgan Morgan calling

Drop a number and Morgan from StackNotify will call to confirm a required action or update.

@Logan Logan calling

Drop a number and Logan from StackNotify will call to confirm renewal intent or next steps.

@Morgan Morgan calling

Drop a number and Morgan from StackNotify will call to capture CSAT after a resolved ticket.

@Parker Parker calling

Drop a number and Parker from StackNotify will call to collect NPS or onboarding feedback.

@Blake Blake calling

Drop a number and Blake from StackNotify will call to qualify a demo or trial request and assess intent.

AI That Helps Your Agents Deliver 10x Support—Without 10x Effort

CloudTalk’s AI for customer service agents is built to scale small teams, speed up resolutions, and take pressure off your people. It works behind the scenes and in real time—so every agent can work faster, respond smarter, and stay focused on what really matters.

Before CloudTalk

With CloudTalk

Agents waste time switching tabs and tools

Answers suggested instantly, right in their workflow

Repetitive questions drain team capacity

AI handles routine requests automatically

Inconsistent replies across agents and shifts

Every message is clear, accurate, and on-brand

New hires take weeks to onboard

Smart prompts help them sound experienced from day one

Managers rely on manual QA and gut feeling

Real-time insights highlight what’s working—and what’s not

Agents feel overwhelmed and burned out

AI support lightens the load and boosts confidence

AI Voice Agents Language Coverage

English
Spanish
German
French
Italian

Why CloudTalk

How AI for Customer Service Agents Transforms Your Workflow

Small teams don’t have time to triage tickets, search through knowledge bases, or double-check every response. That’s where AI for customer service agents comes in. It acts as a real-time assistant—suggesting replies, automating routine tasks, and making sure every conversation is fast, accurate, and on-brand.

Resolve More, With Less Effort

CloudTalk’s AI recommends replies in real time and automates repetitive tasks so agents can handle more conversations, faster, without increasing headcount.

Give Consistent, On-Brand Answers

AI agents pull from your approved knowledge base and past interactions to keep every response clear, compliant, and aligned with your brand, across channels and shifts.

Boost Agent Confidence and Performance

With real-time guidance and fewer repetitive decisions, agents work with more focus and less stress, helping small teams stay sharp and avoid burnout.

Turn Conversations Into Continuous Improvement

AI highlights trends, highlights gaps, and shows what top agents do differently so you can coach effectively and keep raising your support standards.

How AI for Customer Service Agents Works in Real Life

Curious how AI customer service software actually helps your team? CloudTalk’s AI works behind the scenes to speed up support, improve consistency, and take pressure off your agents—without replacing the human touch.

  • Suggests replies in real time to speed up responses
  • Pulls answers from your knowledge base to keep messaging accurate
  • Automates routine tasks so agents can focus on complex issues
  • Guides new agents live to reduce ramp-up time
  • Flags trends and common issues to help you improve service fast

Nudge expiring offer

Riley, Sales Reminder Agent

Qualify a student lead

Avery, Course Inquiry Agent

Get a payment reminder

Casey, Payment Reminder Agent

Qualify a patient lead

Jordan, Healthcare Intake Agent

Qualify insurance lead

Taylor, Insurance Intake Agent

Accept updated terms

Quinn, T&C Acceptance Agent

Qualify legal inquiry

Drew, Legal Intake Agent

Get post-interview feedback

Jamie, Candidate Feedback Agent

Pre-screen a candidate

Skyler, Applicant Pre-screen Agent

Confirm account action

Morgan, Action Reminder Agent

Get a renewal reminder

Logan, Subscription Renewal Agent

Get CSAT after support

Morgan, CX Feedback Agent

Get NPS or demo feedback

Parker, Post-Sales Feedback Agent

Qualify a trial lead

Blake, Trial Signup Qualifier

Riley

Sales Reminder
Agent

Alex

Client
Sales / Marketing

Avery

Course Inquiry
Agent

Jamie

Client
Education / EdTech

Casey

Payment Reminder
Agent

Chris

Client
Financial Services

Jordan

Healthcare Intake
Agent

Taylor

Client
Healthcare

Taylor

Insurance Intake
Agent

Peter

Client
Insurance

Quinn

T&C Acceptance
Agent

Morgan

Client
Legal Services

Jamie

Candidate Feedback
Agent

Riley

Client
Recruitment / HR

Skyler

Applicant Pre-screen
Agent

Jamie

Client
Recruitment / HR

Morgan

Action Reminder
Agent

Taylor

Client
SaaS / Software & Apps

Logan

Subscription Renewal
Agent

Jamie

Client
SaaS / Software & Apps

Morgan

CX Feedback
Agent

Sam

Client
SaaS / Software & Apps

Parker

Post-Sales Feedback
Agent

Chris

Client
SaaS / Software & Apps

Blake

Trial Signup
Qualifier

Alex

Client
SaaS / Software & Apps

Only Pay for What You Use

Launch for just €0.25/min. When you’re ready for more volume and more calls, we’ll tailor the pricing to match.

CeTe Voice Agent

0.25 / min

Increase call volume

Contains

  • Full control over final spending
  • Unlimited number of Voice Agents
  • Can handle 1 call at a time
  • English language only
  • Choice of all available LLMs
  • Choice of all voices (Deepgram/ElevenLabs)

Custom Agent

Contact us for tailor-made offer

Contains

  • Custom concurrent calls tailored to your volume needs
  • Volume-based pricing discounts (as low as $0.10 per minute)
  • Custom packages tailored to your needs
  • Premium private Slack channel with dedicated support team

Information

*Includes everything from CeTe Agent

Everything You Wanted to Ask

But Didn’t Want to Get on a Call For

Can AI be used for customer service?

Yes! AI can handle FAQs, route queries, automate responses, and support agents with insights, improving speed and satisfaction.

What is the best AI for customer service?

The best AI depends on your needs. AI customer service software like CloudTalk boost efficiency and improve customer experiences.

How to build an AI customer service agent?

Start by defining tasks, then train an AI model with real data, integrate it into support tools, and keep improving based on user feedback.

What is the AI model of customer service?

It’s a system where AI tools automate support tasks—like chat, voice, or routing—using NLP, machine learning, and customer data analysis.

Ready to Put Your Team to the Test?

Can AI do it better? Try a free call and find out.