// Development

AI process automation

AI that does the boring work so your team does the important work. We automate monitoring, lead capture and repetitive processes with real AI, the same we apply with our assistant Penny.

Real AI with Penny
Automated monitoring and leads
Impact in real cases
// 01

AI that works inside your business, not a decorative chatbot

Most companies use AI as a toy: a chat that answers questions. We put it where it really matters, inside your processes. We do it with our own assistant, Penny, built entirely in-house, which automates monitoring, lead capture and internal tasks at SYSBalear every day.

That means we don't sell you an AI promise: we offer you something already running in production in our own house, ready to adapt to your processes.

Automated lead capture and qualification.
Monitoring and alerts without manual watching.
Repetitive tasks (reports, replies, follow-up) handled on their own.
// 02

Real impact, no empty promises

In real cases, this automation has meant up to +500% productivity on specific tasks, hundreds of hours per month saved and up to +30% of revenue handled in an automated way. These are real-impact figures from our own operation, not guarantees: your result depends on your processes.

We start by identifying which tasks steal time from your team and can be automated safely. We build the automation secure by design, because we are also a cybersecurity firm: an AI with access to your data demands control, not improvisation.

Up to +500% productivity in real cases.
Hundreds of hours per month saved on repetitive tasks.
Secure automation, with controlled access and data.
// 03

Where we start: the right process, not the whole company

Automating well isn't putting AI everywhere: it's choosing the process where it pays off most with the least risk. We start by identifying with you the tasks that repeat every week, quantifying the time they consume and assessing what would happen if they ran on their own. Out of that list comes a clear first candidate.

We automate that first task, measure it in real operation and, once it proves itself, extend to the next one. One process at a time, with visible results before growing: that way automation advances on evidence, not promises.

An inventory of repetitive tasks and their cost in time.
A first, well-scoped automation with a clear return.
Measurement in real operation before extending to the next process.
// 04

People and AI: who does what

Our rule is simple: AI does the background work and people make the decisions. A draft reply, a prepared report, a classified alert or a qualified lead arrive ready-made; approving, adjusting or discarding remains human wherever judgement matters.

That design isn't a limitation, it's what makes automation reliable: every action is logged, sensitive actions require confirmation, and you always know what the AI did and why. Automating isn't losing control of the business; it's getting your time back without giving control away.

AI prepares; decisions requiring judgement stay human.
Sensitive actions require confirmation, no blind autonomy.
Everything logged: you always know what the AI did and why.
// 05

It integrates with everything else (and with those who run it)

AI automation doesn't live in a vacuum: it works inside your ERP/CRM, reads from your integrations and relies on the infrastructure that runs it. Since at SYSBalear we also handle development, systems, hosting and cybersecurity, the AI connects to an ecosystem we know end to end, not to someone else's black box.

That matters when something needs adjusting: the same house that built the automation controls the access, watches the consumption and responds from Mallorca, close to your business. No vendor chains where nobody holds the full picture.

AI inside your ERP/CRM and your workflows, not a loose tool.
Infrastructure, access and data governed by the same house.
A nearby team in Mallorca to adjust and evolve it.
// FAQ

Frequently asked questions

Which processes in my company can I automate with AI?

Especially repetitive, data-driven ones: lead capture and qualification, replies and follow-up, report generation, monitoring and alerts, and task routing. We start with those that steal the most time from your team and have the highest return.

Is it safe to give an AI access to my data?

Yes, if done right, and that's why we do it: we are a cybersecurity firm. We control what data the AI sees, with what permissions and with traceability. Automation is built secure by design; access is exactly what's needed, never wide open.

Do I need an ERP or CRM to automate with AI?

No. You can start with a specific process on the tools you already use: email, spreadsheets, your website or your current system. If you later centralise into an ERP/CRM, the automation grows with it, but it's not a requirement to get started.

Will AI replace my team?

That's neither the goal nor the design. Automation removes the background work — classifying, preparing, monitoring, moving data — so people spend their time deciding, selling and serving customers. Decisions requiring judgement remain human.

How do I know the automation is really working?

Because it's measured by design: before building, we define which indicator has to improve — time, volume handled, errors — and the automation logs everything it does. We review the results with you and it's adjusted or extended based on what the data says.

◇ Let's talk, tell us your idea

◇ Let's talk, tell us your idea