Artificial intelligence for businesses in Mallorca
AI is not plug-and-play. It is built into the business.
From Inca, Mallorca, we develop AI agents and automations using your data and processes. We design the architecture they need to be useful: connected information sources, clear permissions and human review when needed.
AI without context = an expensive parrot
The problem with most AI projects
Most business AI projects fail for the same reason: an LLM is plugged in without knowing the business. The model does not know what counts as a qualified lead in your company, which SKUs are out of stock or what tone your brand uses. When you ask, it hallucinates. When it fails, it cannot recover.
AI without context is an expensive parrot. That is why our work begins earlier: we design the data and process architecture AI needs to be useful. We connect your systems, clean the data that will feed the agent, define the limits of its autonomy and the rules for escalating to a human when a decision exceeds them.
Only when that layer is built does the agent begin operating. It works on clean, well-structured data — rather than manual spreadsheets and WhatsApp messages.
What they do
SOM-OS agents do more than respond: they execute.
Serve your customers
Reschedule appointments, answer frequently asked questions, classify urgent requests and escalate to a human when a decision exceeds their limits. Your customer writes and receives a response in seconds, not hours.
Classify emails and tickets
Reads the inbox, classifies by urgency and category, drafts a reply or discards the message. Your team reviews drafts, rather than 200 raw emails.
Detect problems before you do
Stockouts, upcoming overdue payments, recurring incidents. The agent cross-references data, detects the pattern and alerts you before the problem reaches the customer.
Write responses in your voice
Complaint responses, sales follow-ups, call summaries. The agent adopts your brand's tone and cites internal policies — it is not a generic chatbot email.
Take real action
Create helpdesk tickets, update the CRM, send emails and schedule appointments. Actions within your limits and with your authorisation, rather than in a sandbox.
How they work
Three layers, from data to action.
Connect to your systems
The agent connects to your CRM, email, database, helpdesk and spreadsheets. You do not ask it to guess: you give it access to the systems where the truth lives.
Search your documents and cite sources
The agent consults your internal knowledge: contracts, tickets, histories and manuals. We design answers with sources, limits and referral to a person when information is missing. We evaluate the results with real cases before production; no model is free from errors.
Take real actions
The agent acts within the limits you define. It moves the appointment, creates the ticket, sends the email and updates the CRM. Every action is logged, reversible and auditable. When uncertain, it escalates to a human — it does not make a decision it cannot make on its own.
Try it live
An interactive demonstration
We do not ask you to take our word for it. On the homepage there is an interactive demo with five real scenarios: helping a VIP customer move an appointment, classifying 200 emails in batches, drafting a complaint response, detecting stockouts and summarising 50 support calls.
Each scenario shows how the agent thinks, acts and responds. It is a simulation, but in production the agent takes real actions in your systems.
AI agents for SMEs and businesses
From sole traders to industrial groups.
SMEs and sole traders
An AI agent for SMEs does not need a data team. It needs someone to connect the CRM, email and calendar and define which decisions the agent may make alone. In an SME, the agent frees the owner from tasks that take hours: classifying emails, answering repeated questions, scheduling appointments and generating reminders.
Medium-sized companies with complex processes
AI agents for business processes involving multiple systems: ERP, helpdesk, CRM and a company's own database. The agent cross-references information, detects incidents before they escalate, drafts reports and takes actions within defined limits. Every action is logged and reversible.
Teams that do not want to depend on a generic chatbot
Off-the-shelf chatbots do not know your business. A business AI agent trained with your context does. It is not a question-and-answer box: it reads your documents, cites sources, executes actions and escalates to a human when needed.
Frequently asked questions
The questions we hear in every discovery session.
What is an AI agent for businesses?
An AI agent for businesses understands your company's context and executes tasks autonomously within limits you define. It is not a chatbot: it connects to your systems (CRM, email, database), searches your documents, responds with cited sources and takes real actions such as creating tickets, moving appointments or sending emails. When a decision exceeds its limits, it escalates to a human.
Is an AI agent useful for an SME?
Yes. SMEs are where an AI agent has the greatest impact because the owner or small team spends hours on repetitive tasks the agent can take on: classifying emails, answering frequently asked questions, scheduling appointments and detecting overdue payments. You do not need a data team — you need someone to connect your systems and define the agent's limits.
Which business processes can an AI agent automate?
Customer service (answering, rescheduling, escalating urgent requests), email and ticket classification, incident detection (stockouts, upcoming overdue payments), drafting responses in your brand's tone, call summaries and actions in your systems: updating the CRM, creating tickets, sending emails and scheduling appointments. The agent works on defined processes; it does not improvise.
How is it different from a normal chatbot?
A chatbot answers predefined questions with prepared responses. A business AI agent searches your documents, cites sources, connects to your systems and executes actions. If it does not know something, it says so. If it does, it tells you where it read it. Every action is logged and reversible.
How much does implementing an AI agent cost?
It depends on scope: how many systems to connect, which processes to automate and how much autonomy to give the agent. We start with a free 30-minute discovery session to understand your case. If it fits, we propose a Chaos Map (audit + defined plan). We only build if it convinces you.
Can the agent make decisions without human supervision?
Yes, within the limits you define. The agent can respond, classify, write and execute actions autonomously. But it escalates critical decisions — discounts, cancellations, sensitive communications — to a human. Every action is logged, reversible and auditable. You decide how much autonomy to give it.
Does your business need an agent?
Let's talk.
Tell us which processes take up most of your team's time. We tell you whether an AI agent makes sense for your case and what the next step would be.
Does your business need an agent?