We develop intelligent chatbots and conversational AI agents for Barcelona companies that want to automate customer service, qualify leads and increase sales. Local team with on-site availability for conversational design and critical project phases, combined with agile remote work for development and integration.
AI Chatbots and Agents for Customer Service in Barcelona
At MiT Software we develop custom conversational AI chatbots and agents for Barcelona companies that need to scale their customer service and sales processes. Barcelona concentrates a dynamic tech ecosystem where speed of implementation and the ability to iterate quickly are key. Our local team combines the agility of remote work with on-site availability when the project requires it — from conversational flow design to agent validation with your organization's end users. We integrate the most advanced language models — GPT-4, Claude, Gemini — with the specific knowledge of your business to create assistants that respond with the precision of a human expert across all your digital channels.
We start by understanding what type of queries your team receives, what information the agent needs to resolve them and how the conversation flow should work for each scenario. Conversational design is the most critical phase of the project.
We transform your existing documentation — manuals, FAQs, catalogues, policies — into a structured knowledge base optimized for semantic retrieval. This is the agent's source of truth: the more complete it is, the more precise its responses will be.
We develop the agent on the most suitable architecture — RAG, fine-tuning, structured flows or a combination — and integrate it with your systems: CRM, helpdesk, customer database or e-commerce platform via documented APIs.
Before launch, we subject the agent to exhaustive testing with real scenarios. We measure resolution rate, response accuracy and overall user experience, adjusting the model until the defined quality levels are achieved.
We deploy the agent across your service channels and train your team to manage escalations, update the knowledge base and interpret performance reports autonomously.
We periodically review conversations where the agent could not resolve autonomously, identify patterns and update the knowledge base and model to progressively reduce the escalation rate and increase customer satisfaction.
A well-trained AI chatbot resolves between 60% and 80% of routine queries autonomously, without waiting times and without cost per interaction. Your human team focuses on complex, high-value cases while the AI agent handles the volume of routine queries across all your digital channels simultaneously.
Conversational AI agents identify the visitor's purchase intent, collect their contact details, qualify their profile according to your commercial criteria and route them to the right sales representative at the right time. The result is a richer sales pipeline with better-qualified leads and shorter sales cycles.


We train language models on your specific knowledge base — product catalogue, service policies, FAQs, incident history — so the chatbot responds with the precision and brand voice of your company, without hallucinations and with verifiable sources when the case requires it.


We deploy AI agents across all the channels where your customers are: chat widget on your website, WhatsApp Business API, Telegram, Slack, Microsoft Teams or any messaging platform. The conversation is coherent and continuous regardless of the channel the customer chooses.
We develop conversational sales agents that accompany the visitor from first contact to conversion: presenting products, resolving objections, generating automatic quotes and routing to the human salesperson only when the lead is ready to close.
AI agents manage the complete incident lifecycle: collecting necessary information, classifying and prioritizing by urgency, searching the knowledge base for the solution and escalating to the technical team with full context when they cannot resolve autonomously.


Our AI agents maintain context throughout the conversation and across different sessions, recognize returning customers, remember their preferences and adapt responses to their interaction history, offering a personalized experience that improves satisfaction and loyalty.
We implement analytics dashboards showing conversation volume, autonomous resolution rate, most frequent topics, drop-off points and agent improvement opportunities. With this data we continuously optimize the model to increase resolution rate.
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