AI Chatbot

An AI chatbot that resolves 60% of your tickets

We develop chatbots with artificial intelligence that understand your customers, respond with precision and learn with every interaction. Available 24/7, integrated with your systems and trained with your business knowledge.

Book a free demo How it works
The challenge

Your customers expect instant answers. Your support team can't keep up.

75% of consumers expect a response in less than 5 minutes. But your customer service team manages dozens or hundreds of tickets per day, many of them with repetitive questions that consume valuable time. The result: long wait times, frustrated customers and exhausted agents.

Traditional chatbots based on decision trees don't solve the problem. They are rigid, frustrate users when they don't understand the question and require constant maintenance to update responses. Customers detect them instantly and ask to speak with a human.

The new generation of AI chatbots changes the rules of the game. Thanks to models like GPT-4 and Claude, an AI chatbot understands context, responds naturally, accesses your knowledge base and escalates complex conversations to a human agent when needed. It's like having an expert support agent available 24 hours a day, 7 days a week.

Unresolved tickets

High wait times

No night coverage

Frustrated customers

Our solution

AI Chatbot that understands, resolves and learns

We build conversational assistants powered by GPT-4 and Claude, trained with your documentation and connected to your business tools.

Advanced conversational AI

GPT-4 and Claude models fine-tuned with your knowledge base. Natural, precise responses in your brand's tone. No generic answers.

RAG knowledge base

We index your documentation, FAQs, manuals and policies with Retrieval Augmented Generation. The chatbot always has updated information.

Integration with your systems

We connect the chatbot with your CRM, helpdesk, ERP and internal tools. It can query orders, create tickets or update data in real time.

Intelligent escalation

When a conversation requires human intervention, the chatbot automatically detects it and transfers to the agent with all the conversation context.

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Impact

Real results from our AI chatbots

-60%
Reduction in support tickets

The AI chatbot resolves the most frequent queries autonomously: order status, product questions, return policies, technical questions and more.

24/7
Total availability at no extra cost

Your customer service never sleeps. The chatbot serves customers at any time, holidays included, without increasing your staffing costs.

<5sec
Average first response time

While a human agent takes minutes or hours to respond, the AI chatbot responds instantly with the correct information, dramatically improving customer satisfaction.

How we build your AI chatbot

From ingesting your knowledge to continuous optimization with real usage data.

Knowledge Analysis

We collect and structure all your documentation: FAQs, manuals, policies, ticket history. We identify the most frequent queries and define the chatbot scope.

01

Architecture & Integrations

We design the RAG (Retrieval Augmented Generation) architecture, configure LLM models and connect the chatbot with your systems: CRM, helpdesk, product database.

02

Training & Testing

Model fine-tuning with your data, tone of voice adjustment, exhaustive testing with real scenarios. We iterate until reaching 90%+ response accuracy.

03

Deployment & Continuous Improvement

We launch on your website, app or channels (WhatsApp, Slack, Teams). Metrics dashboard, failed conversation analysis and weekly performance optimization.

04
FAQ

Frequently asked questions about AI chatbots

How is an AI chatbot different from a traditional chatbot?
A traditional chatbot works with decision trees and predefined keywords: if the user doesn't formulate the question exactly as expected, the bot doesn't understand. An AI chatbot uses advanced language models (GPT-4, Claude) that understand natural language, context and user intent. It can handle questions that were never explicitly programmed, maintain multi-turn conversations and respond naturally. It's the difference between a phone menu and talking to an expert.
What happens if the chatbot doesn't know the answer?
We design the chatbot with an intelligent escalation system. When it detects that it doesn't have enough confidence in the answer or that the query requires human intervention (complex complaints, exceptional cases), it automatically transfers the conversation to an agent with the full history and context. Additionally, every unresolved conversation is logged and analyzed weekly to expand the chatbot's knowledge base. This way, the autonomous resolution rate continuously improves over time.
Can the AI chatbot access real-time data from my systems?
Yes. We integrate the chatbot with your systems via APIs so it can query and operate with real-time data. For example, a customer can ask "where is my order 12345?" and the chatbot queries your logistics system, gets the current status and responds with the exact information. It can also create tickets in your helpdesk, update CRM data, check stock availability or schedule appointments. All securely, with permission controls and a complete audit log.
Is it safe to use an AI chatbot with sensitive customer data?
Security is an absolute priority in our implementations. We use models deployed on your own cloud infrastructure (or in isolated environments from providers like Azure OpenAI) so data never leaves your perimeter. We implement end-to-end encryption, automatic anonymization of personal data, role-based access controls and GDPR compliance. We also configure guardrails in the model to prevent it from revealing internal information or generating inappropriate content. Everything is recorded in audit logs.
How much does a custom AI chatbot cost for my company?
The cost of a custom AI chatbot depends on the scope: number of knowledge sources, integrations with external systems, deployment channels and expected conversation volume. Our projects typically range from 10,000 to 35,000 euros for the initial implementation, plus a monthly operational cost that includes LLM model API consumption, cloud infrastructure and maintenance. The ROI is fast: with an average 60% reduction in support tickets, most of our clients recover the investment within the first 3-4 months.

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Want to see how an AI chatbot would handle your customers' queries?

We prepare a personalized demo with your own FAQs and knowledge base. You'll see in 30 minutes what your chatbot could do from day one.

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