What is an AI agent? Definition, role and the customer support revolution

François
Published on
14/11/2025

"Agent AI", "agentic AI", "autonomous agents"... These terms are everywhere in 2025, but are you still wondering what they really are? 🤔

Don't panic! We explain everything in this comprehensive guide: what an AI agent is, how it works and, above all, how it's revolutionizing customer service.

Spoiler: it's not just an improved chatbot. It's much, much more powerful. And if you don't jump on the bandwagon now, your competitors will get a huge head start.

AI agent: a simple definition

An AI agent is an autonomous computer program capable of perceiving its environment, analyzing the information it receives, making decisions and acting to achieve specific goals.

In plain English?

Imagine a virtual assistant who :

  • Understands what you're asking (even if you don't express it well)
  • Thinks about the best way to solve the problem
  • Uses available tools (knowledge base, CRM, internal systems)
  • Makes decisions independently
  • Learns from every interaction to improve

Unlike a classic chatbot that follows predefined scripts, an AI agent is truly intelligent and autonomous. It doesn't just answer, it solves.

AI agent vs chatbot: what's the difference?

Many people confuse AI agents with chatbots. Wrong! Here are the key differences:

Classic chatbotAgent IA
Follows rules and scriptsMakes autonomous decisions
Answers predefined questionsSolves complex problems
Includes only keywordsUnderstands context and intent
Cannot act in other systemsCan interact with your tools (CRM, database, etc.)
StaticContinuous learning and improvement

Case in point:

Chatbot: "To track your order, click here".

AI Agent: "I see your order #12345 is in transit and will arrive tomorrow before 2pm. Would you like me to change the delivery address or schedule a notification?"

See the difference? The AI agent acts, not just responds.

How does an AI agent work?

An AI agent is based on several advanced technologies that work together:

1. Natural language processing (NLP)

The agent understands what you're saying, even if you make mistakes, use colloquial language or formulate your request incorrectly.

"Comment je fé pour retrouvé ma comandde" → The agent understands that you're trying to track your order.

2. Advanced language models (LLM)

Thanks to LLMs such as GPT-4, Claude or Mistral, the agent can generate natural, contextual and precise responses.

That's exactly what we use at Klark: the best models on the market to guarantee quality answers.

3. Memory and context

An AI agent remembers your previous interactions and uses this context to personalize its responses.

"I want to return the product I bought last week" → The agent knows what product you're talking about without you having to repeat yourself.

4. Action capabilities (agentic AI)

This is where the magic happens: the agent can act in your systems.

  • Search for information in your CRM
  • Create a support ticket
  • Modifying an order
  • Send a follow-up email
  • Trigger a refund

All autonomously, without human intervention (unless necessary).

5. Continuous learning

The more requests the agent handles, the more efficient it becomes. It detects patterns, optimizes its responses, and adapts to your specific context.

AI agents in customer service: the revolution is underway

The numbers don't lie:

  • 85% of companies adopted AI agents in 2025 (compared with only 10% in 2023) 📈
  • 55% of French people consider AI essential for quality customer service
  • Gartner puts agentic AI at the top of the list of strategic technologies to watch in 2025

And for good reason: the benefits are massive.

The benefits of AI agents for customer service :

  • 24/7 availability: your customers get answers even at 3 a.m.
  • Instant response: no more long waits
  • First contact resolution: AI agent resolves directly, without escalation
  • Personalization at scale: every customer feels unique
  • Cost reduction: up to 40% savings on operating costs
  • Liberated human agents: your teams focus on the really complex cases

At Klark, our customers have seen their productivity soar by 50% in just a few weeks. And that's just the beginning!

The different types of AI agents

Not all AI agents are created equal. Here are the main categories:

1. Conversational agents (AI chatbots)

They chat with your customers via chat, email or messaging. But unlike the old chatbots, they really understand and solve.

Take Klark Chat, for example, which automates simple conversations in complete autonomy.

2. Co-pilot agents

They assist your human agents by suggesting answers, searching for information and automating tasks.

Example: Klark Copilot, which turns your agents into super-agents 💪

3. Voice agents (AI callbots)

They handle telephone calls autonomously, with a natural voice and advanced comprehension.

Perfect for managing incoming call volume without blowing your costs.

4. Automation agents

They work behind the scenes to automate processes: processing orders, managing refunds, updating databases.

Invisible for the customer, but ultra-efficient for your productivity.

Real-life use cases for AI agents in customer service

1. Automated technical support

"My application no longer launches" → The AI agent diagnoses the problem, proposes solutions, and resolves in 80% of cases without human intervention.

2. Order tracking

"Where's my order?" → The agent consults your logistics system, gives the exact status, and can even modify the delivery if necessary.

3. Returns and refunds management

"I want to return this item" → The agent generates a return label, explains the procedure, and triggers the refund once received.

4. Customer onboarding

"How does it work?" → The agent guides the new customer step by step, personalizes the experience, and makes sure they get maximum value from your product.

5. Intelligent climbing

The AI agent knows when it can't solve the problem on its own. It then transfers to a human agent, providing all the context for immediate handling.

At Klark, we do all this and more: intelligent customer support automation that respects your processes and brand tone.

Fears surrounding AI agents (and why they're unfounded)

"AI will replace my human agents".

False. AI enhances the capabilities of your agents, not replaces them.

AI agents handle the repetitive, while humans handle the complex and emotional. It's the winning combo: human + AI = maximum performance.

"Customers hate talking to robots".

Wrong (well, almost). Customers hate bad chatbots that don't understand anything.

But a high-performance AI agent that solves their problem in 30 seconds? They love it. 55% of French people consider AI essential to customer service.

"It's too complex to set up".

Not anymore. With solutions like Klark, you're up and running in a matter of hours.

Plug-and-play, no complex configuration, our AI connects to your existing CRM and automatically builds your knowledge base.

"It costs a fortune

On the contrary! ROI is guaranteed.

At Klark, we charge by success: you only pay when the AI intervenes successfully. No waste, just value.

How do you choose the right AI agent for your customer service department?

Not all AI agents are created equal. Here are the essential criteria:

  • Easy integration: must connect to your existing tools (Zendesk, Freshdesk, Salesforce, etc.).
  • Quality of understanding: does it use the best LLMs on the market?
  • Ability to act: can it really act in your systems or just respond?
  • Continuous learning: does it improve over time?
  • RGPD compliance: the security of your data is non-negotiable
  • Multilingual support: for truly global customer service
  • Measurable ROI: can you track the real impact?

Spoiler: Klark ticks all these boxes. But hey, let's not brag... 😉

The future of AI agents: what lies ahead in 2025 and beyond?

AI agents are just getting started. Here's what's coming:

1. Hyper-customization

AI agents will know your customers better than you do: complete history, preferences, behaviors... for 100% personalization.

2. Multi-tasking agents

A single agent capable of managing chat, email, telephone, social networks... in a fluid, consistent way.

3. Total autonomy

AI agents will manage complete end-to-end processes, without any human intervention (with a few exceptions).

4. Perfect human-IA collaboration

AI and humans will work in perfect symbiosis, each bringing its own strengths: speed + empathy = exceptional customer experience.

At Klark, we're building exactly this vision: putting the human touch back at the center of customer relations, thanks to AI that frees up time for what really matters.

Conclusion: the era of AI agents is here, don't miss it!

AI agents are no longer science fiction. They're here, they work, and they're radically transforming customer service.

Here's a recap of what you need to know:

  • An AI agent = an autonomous program that perceives, analyzes, decides and acts.
  • Much more powerful than a traditional chatbot
  • 85% of companies have already adopted AI agents by 2025
  • Massive benefits: speed, customization, cost reduction, freed-up human resources
  • AI doesn't eliminate humans, it transforms them into super-agents
  • The human + AI combo = the future of customer service

Your competitors are already adopting AI agents. Don't let them get too far ahead.

Want to see what an AI agent can do for your customer service? Discover Klark and test the power of agentic AI.

Because at the end of the day, the best AI agent is the one that saves your teams time AND delights your customers. And that's possible today. 🚀

About Klark

Klark is a generative AI platform that helps customer service agents respond faster, more accurately, without changing their tools or habits. Deployable in minutes, Klark is already used by over 50 brands and 2,000 agents.

You might like

Klark blog thumbnail
- 5 MIN READING 

RAG for customer support: methods, examples and best practices

Discover how RAG (Retrieval-Augmented Generation) is transforming customer support: methods, real-life examples, best practices for delivering accurate, up-to-date answers while eliminating AI hallucinations.
Klark's author
Chief of Staff
Klark blog thumbnail
- 5 MIN READING 

Generative AI customer service: methods, examples and best practices

Discover how generative AI (GenAI) is transforming customer service: methods, real-life examples, best practices, and how to deploy it successfully to boost productivity, cut costs and improve customer satisfaction.
Klark's author
Chief of Staff
Klark blog thumbnail
- 5 MIN READING 

AI agents as employees: methods, examples and best practices

Find out how to integrate AI agents as employees: proven methods, real-life examples from leading companies (Klarna, Octopus Energy), and best practices for augmenting your teams with AI in 2025.
Klark's author
Chief of Staff
Klark blog thumbnail
- 5 MIN READING 

Artificial intelligence in customer relations: methods, examples and best practices

Discover how artificial intelligence is transforming customer relations: proven methods, concrete examples of successful companies, and best practices for successfully deploying AI in your customer service department.
Klark's author
Chief of Staff
Klark blog thumbnail
- 5 MIN READING 

Agentic AI: a new era for AI... but not without humans

AI is entering a new phase: that of agents capable of acting on their own... Find out what this means for support teams, and Klark's vision of it.
Klark's author
Chief of Staff
Klark blog thumbnail
- 5 MIN READING 

The "GenAI Divide": why 80% of companies fail with generative AI

An MIT study reveals the "GenAI Divide": 80% of companies are testing generative AI, but only 5% are getting any real ROI from it. Find out how Klark helps support teams bridge this gap.
Klark's author
Chief of Staff