AI Agents & Automation

We map the repetitive tasks, the manual handoffs and the operational bottlenecks. Every agent is designed around a real process, with clear inputs, outputs, responsibilities and limits.

We connect AI to the databases, business systems, APIs, documents and tools already in place. The value shows up when the agent works inside the operating stack, not when it sits alone in a chat.

We design access, logging, fallbacks and metrics from day one: hours saved, errors reduced, response times, output quality and impact on the process.

It picks up where it stopped

A failure halfway through does not send the work back to the start. In the quoting system, an error on the twelfth email leaves the other twenty-nine untouched: number twelve is resumed, not lost.

It remembers between sessions

A file gets opened, left there, picked up three days later with two more documents in it. Documents already read stay read, corrections made by hand stay made.

It stops where the decision weighs

Not on everything: on what carries a consequence. A request against the price list goes through, an eight-thousand-euro trip stops and waits for a person. You move the threshold yourself, from a screen.

It sees only what it has to see

The perimeter is declared upfront. The Lock&Go assistant reads the service FAQ: it does not see bookings, it does not see payments, it does not see customer data.

It costs what you decided

A conversation running in circles is a cost that grows without producing anything. The spending cap closes it first, per conversation and across the month.

It connects with a permission you can take back

Access to the mailbox or the business system is a permission you revoke whenever you want. It can be limited to a single label instead of the whole inbox.