Processes that run themselves. Time to focus on what matters.
An AI agent carries out a task on its own, connected to the tools you already use. For Betinoc, search agents top up the lead list every day. For Winsol Brebo, an assistant on the website prepares quote requests.
Keeps working while you sleep.
An AI agent takes the initiative: it monitors, decides and acts based on rules you set. A lead comes in, the agent qualifies it, sends a personalised message and books an appointment. No manual steps, no delays.
We build every agent from scratch, starting from your situation: which tasks take the most time, where do things fall through the cracks, and what would you automate tomorrow if you could?
Four agents that make a difference
Proven in practice.
Phoenix Agent
Turns dormant leads in your CRM into booked appointments through personalised SMS and email. Automatic, GDPR-compliant and linked to your calendar.
Abandoned Cart Recovery
Automatically brings back customers who left their basket behind, with reminders at just the right moment. For Undo, a flow like this caught 151 drop-offs in its first few weeks, with an open rate of 50 per cent.
Client Onboarding Automation
Onboard new clients with personalised documents, automated workflows and automatic reminders. Every new client gets the same smooth experience, without any manual work.
Proposal Automation
Generate detailed quotes from a brief. Faster turnaround, consistent quality and more time for the conversations that count.
Almost endless.
The examples above are things we’ve already built. But an AI agent can be put to work on almost any repetitive, rule-based process: customer service triage, recruitment and candidate screening, reporting and analytics, sales pipeline follow-up, content production. If it follows a pattern, it can be automated.
We always start with a conversation about your situation. What takes the most time? Where are the biggest losses? That’s where we begin.
An example
Search agents that keep the list full.
At Betinoc, search agents do the work of building the lead list, topping it up continuously based on signals: profiles that resemble existing customers, people who were recently active around Betinoc’s themes, and anyone who just changed jobs or raised capital.
Every list has a quality threshold: 0.80 for installers and 0.85 for end customers. Anyone scoring below it stays off the list, even if that means the volume grows more slowly. That way the sales team’s time goes to conversations that matter.
Built by specialists in AI automation.
All our AI agents are developed through autonoom.ai, our sister company specialising in AI-driven business automation for Belgian companies. GDPR and NIS2 compliant, fully custom and built to integrate with the tools you already use.
Frequently asked questions
Questions about AI agents.
What’s the difference between an AI agent and a chatbot?
A chatbot answers questions. An AI agent carries out tasks: it retrieves data, makes decisions within the rules you give it and takes the next step in your systems, such as qualifying a lead, sending a message or booking an appointment. An agent can have a chat window, but most of the work happens behind the scenes.
What does the Phoenix Agent do?
The Phoenix Agent turns dormant leads in your CRM into booked appointments. It gets back in touch with contacts who once showed interest through personalised SMS and email, responds to their replies and books an appointment in your calendar as soon as someone wants to talk. That gives leads you’ve already paid for a second chance.
Does an AI agent make decisions without us?
Only within the boundaries you set. For each agent, we decide together what it can handle on its own and when a person takes over. At Winsol Brebo, the assistant gathers everything needed for a quote and suggests time slots, but the salesperson makes the call.
Which processes are best suited to an agent?
Processes that come up often, follow a recognisable pattern and involve a lot of manual work today. Think of following up and qualifying leads, preparing quotes, onboarding clients, sorting emails or compiling reports. The higher the volume, the faster an agent pays for itself.
Is it secure and GDPR-compliant?
Yes. All the agents we build through autonoom.ai are GDPR and NIS2 compliant. We work with European infrastructure, give an agent access only to the data it needs and document the data flows, so you can always show what happens to which data.
How long does it take to build an agent?
An agent for one clearly defined task is usually live within three to six weeks, depending on the number of systems it needs to talk to. We start small, test with real data and expand once the first version has proven its worth.
Case studies
AI that’s up and running.
AI & Automation
More automation.
Which process would you like off your plate?
Tell us what you do manually today and what you’d rather see happen automatically. We’ll look together at what’s feasible.
Start the conversation