We implement intelligent assistants based on LLM (Claude, GPT) and MCP that handle customers via WhatsApp and voice, manage enquiries, consult your systems in real time and free your team from repetitive work.
Every business is different. We help you choose the solution with the most impact in the least time.
A multi-channel conversational agent that autonomously answers frequent queries. Ideal for businesses with a high volume of repetitive enquiries.
An agent that doesn't just answer: it queries your systems in real time, updates records and executes actions. The qualitative leap over a traditional chatbot.
A telephone agent with natural voice that answers calls and can query your systems. Latency under 2 seconds. For businesses that receive many enquiry calls.
An agent that captures incoming leads from Meta Ads, website or forms, qualifies them with automatic questions and registers them in your CRM with all the information collected.
Uniformas (Nupsovia S.L.) received hundreds of weekly queries via WhatsApp and phone about schools, garments, timetables and order status. They responded manually to each message, generating high waiting times and a workload impossible to scale during peak season.
We implemented a complete system: a WhatsApp conversational agent (Meta's official API) based on Claude, connected to a vector knowledge base of all their schools. The agent identifies the school, provides information on garments, prices and timetables, and checks order status in real time from a daily automatically synchronised list.
Also a voice agent with a dedicated number and <2s latency for phone queries.
"The agent attends our customers at 3 in the morning with the same quality as we do during office hours."
Traditional chatbot
LLM/MCP Agent
The LLM/MCP assistant starts from €1,500 + VAT for the initial implementation. The final price depends on the channels (WhatsApp, voice, web), the complexity of the knowledge base and the required integrations. The initial diagnosis is free.
A chatbot follows predefined decision trees. An LLM agent understands natural language, maintains context and can reason to answer unexpected questions. Via MCP it can also connect to your systems to query real-time data.
Yes. Via MCP and n8n, the agent can connect to your ERP, CRM, database, Google Sheets, Holded, Zoho, WooCommerce or other tools to query and update information in real time during the conversation.
Yes, both text and voice agents work in English and Spanish with excellent quality. The voice agent has an average latency of under 2 seconds. Other languages are also possible depending on the model used.
We configure a confidence threshold: when the agent doesn't have enough information to answer correctly, it escalates the conversation to a human agent in Chatwoot or sends a notification to the team. It never makes up information.
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