AI Agents in Burgos — An intelligent assistant working for your company 24 hours a day

A fixed-response chatbot can only answer the questions it has been programmed for. Faced with an unexpected question, it gives a generic response or redirects the user to speak with a person. An AI Agent can answer any question related to the business because it reasons from the knowledge base you have provided, just as an employee who knows the business well would. This difference is especially valuable for companies with complex services or with many product variants.

The AI Agent does not learn in the sense of retraining with each conversation: it accesses a knowledge base that we have prepared with all the relevant information from your company (services, prices, policies, FAQs, use cases). When the user asks a question, the agent searches that knowledge base for the most relevant information and uses it to generate a precise and contextual response. The quality of the knowledge base directly determines the quality of the agent's responses.

An AI Agent is available 24 hours a day, 7 days a week, without breaks or holidays, without mood variations that affect service quality and with a response time of seconds regardless of the volume of simultaneous enquiries. For a company in Burgos that receives enquiries outside office hours or during peak demand moments, the AI Agent ensures no enquiry goes unanswered.

Internet users do not search for services only between 9 and 6. A significant portion of enquiries arrives late afternoon, at night or during the weekend, when the team is not available. For sectors with a high nighttime decision component (renovation, insurance, financial services, education) or with audiences in other time zones, 24/7 availability is especially critical for not losing those opportunities.

InsideSales studies show that the probability of contacting a lead falls 10 times if response time exceeds 5 minutes. After the first few hours, the probability of the lead being available and still interested falls dramatically. An AI Agent that responds in 30 seconds and collects the lead's data for team follow-up can be the difference between converting or losing a business opportunity.

The cost of not having automated attention is not just the direct cost of unanswered enquiries: it also includes the reputation cost (negative reviews for lack of response), the saturation cost of the team having to manage accumulated enquiries first thing in the morning, and the opportunity cost of not capturing leads at the moments of highest user purchase intent.

The design phase defines what the agent should know (all the business information relevant for answering client enquiries) and how it should behave (tone, limits, when to escalate to a human). The training phase consists of preparing the agent's knowledge base: we collect documents, FAQs, service descriptions, prices, policies and any relevant information, process them and structure them so the agent can access them efficiently.

The AI agent is deployed on the channels where your company's clients already communicate with them: WhatsApp Business, website chat, email or internal messaging channels. The technical integration of each channel is different, but the agent logic (the knowledge base and behaviour) is the same across all channels, ensuring a consistent experience.

When the AI agent captures a lead (a user who shows interest in a service and provides their contact details), it automatically registers it in the client's CRM with all the conversation information: name, company, source channel, summary of the enquiry and estimated level of interest. The sales manager receives a notification and has all the information needed for follow-up without having to search for it manually.

The WhatsApp agent attends to enquiries from clients and potential clients on Spain's most popular messaging channel. It is especially effective for businesses whose clients prefer to communicate via WhatsApp: hospitality, home services, local commerce, clinics, academies and any business with local clientele in Burgos that already uses WhatsApp as their main communication channel.

The agent in the website chat is available to visitors at the moment they are exploring services or considering a purchase: the moment of highest intent. We configure the chat widget on the website with the design adapted to the company's identity and the agent programmed to capture leads, resolve doubts and guide the user towards the conversion action (request a quote, book an appointment, complete the purchase).

The email agent analyses incoming emails to the company's contact address, identifies the type of enquiry and generates a complete contextual response. For standard enquiries with information available in the knowledge base, the response is sent automatically. For enquiries requiring human intervention, the agent prepares a draft response and sends it to the person in charge for review and sending.

In addition to customer service, the AI agent can be deployed as an internal assistant for the team: an assistant connected to the company's internal documentation that answers team questions about procedures, policies, product information or client data. This use case improves team productivity and reduces the time managers spend answering repetitive questions from colleagues.

A solar energy installation company in Burgos received enquiries mainly by phone during office hours. We implemented an AI agent on WhatsApp Business that attends to enquiries 24 hours, explains the services, estimates potential savings according to the type of installation and collects the lead's data for commercial follow-up. In the first 60 days of operation, captured leads tripled, with 65% arriving outside office hours. The commercial team dedicates the same time to follow-up but with triple the opportunities. [See full case →](/casos-reales)

A physiotherapy clinic in Burgos with high demand for enquiries about rates, availability and treatments was taking an average of 4 hours to respond to WhatsApp messages due to administrative team saturation. We implemented an AI agent that responds to frequently asked questions about rates, treatments and availability in real time, and books appointments directly in the booking system when the user is ready to arrange them. Average response time dropped to 30 seconds and the administrative team freed up 2 daily hours previously spent responding to messages. [See full case →](/casos-reales)