Selected projects

Problem

• The front desk could not keep up with calls at peak times.
• Leads from property portals waited too long for a reply.
• Copying data between systems caused mistakes.

What we built

We connected the agency’s phone line to a voice assistant that speaks several languages, and set up a WhatsApp assistant that replies as soon as a portal lead comes in. Both share the same lead history and booking calendar, and every unusual case is reviewed by a person.

Result

Calls and portal leads are now handled in one workflow, at any hour, with staff reviewing the exceptions.

Problem

• Between 30 and 50% of messages arrive when the clinic is closed.
• Health-related data falls under the strictest GDPR category.
• One wrong answer could lead to a formal complaint.

What we built

The assistant works in three steps. Common questions are matched to answers the clinic has approved and sent word for word. Other questions are answered only from verified documents, with the source shown. Anything else is passed to a member of staff.

Result

The target is fewer than one unsupported answer in 10,000. The system is waiting for the clinic’s final testing and sign-off.

Problem

• Orders, stock, prices and payments were handled by phone and on paper.
• Key knowledge was held by one employee.
• Verifactu e-invoicing deadlines required changes.

What we built

A system in five parts: a central message queue, a shared database, an AI model hosted on the company’s own server, a security layer that logs every action, and ordering by WhatsApp and phone in three languages.

Result

Estimated value of €100,000 to €120,000 per year, based on hours saved, fewer errors, avoided penalties and orders taken outside office hours.

Problem

• Invoices were entered and matched by hand.
• Each valuation took about two hours of research.
• CRM records had to be corrected by hand.

What we built

Four new modules on the existing platform, each separated for security, with checks on every AI request and an AI model hosted on the agency’s own server for sensitive data.

Result

Target: a valuation draft based on comparable properties in about five minutes, and no more manual CRM corrections.

Problem

• Order preparation relied on experience and paper lists.
• Managers spent their time chasing status updates.

What we built

We mapped the processes, moved orders to a digital workflow and gave the team the data it needed to work on its own.

Result

Order preparation time fell by about 50%, and the team now works independently with modern tools.

Problem

• Every order needed a salesperson.
• Customers could not see stock or prices.

What we built

Stock and price data was connected to a self-service ordering channel, and the sales team moved its focus to key accounts.

Result

Customers now order on their own at any hour with live stock and prices, and the sales team spends its time on key relationships.

Problem

• Most decisions went to management.
• Processes were not written down.

What we built

Written processes, clear decision rights and supporting tools so the team could act without waiting for approval.

Result

More decisions are made without escalation, and managers spend their time improving the business instead of running every task.