AI deployments

AI agents that take real actions

Support agents, internal copilots and multi-agent workflows connected to your tools, not just a chat window.

Support agent · WhatsAppIllustrative example
Hi, where is my order 4821?
✓ Order found in ERP✓ Tracking checked
It left our warehouse this morning and arrives tomorrow. Here’s the tracking link.
Can I change the delivery address?
Needs a person → handed to Marta with the full context

Sounds familiar?

  • Customers wait hours for answers that already exist somewhere.
  • Teams copy and paste between five tools all day.
  • Chatbots that answer but never actually do anything.

In short

A good agent is not a chatbot with a nicer prompt. It reads the request, looks things up in your systems, takes the action and tells a person when it isn’t sure. That last part is what makes it safe to put in front of customers.

We also build and run our own AI support-agent platform. The agents we design for you are based on what we’ve learned operating one every day.

We design agents around one job at a time: answering order questions, qualifying leads, preparing a client file. Each one has clear limits, a log of everything it did, and a handover to your team for anything outside those limits.

Where it works best

Customer support

Order status, returns, FAQs, ticket triage.

Sales

Qualify inbound leads and book calls.

Legal & compliance

Answer internal questions from your own procedures.

Hotels & venues

Guest questions on WhatsApp, day and night.

What we build

01

Customer support agents

Answer, route and resolve on email, chat and WhatsApp, around the clock.

02

Internal copilots

An assistant that knows your documents, procedures and clients.

03

Multi-agent workflows

Several agents that research, draft, check and act together.

04

Human in the loop

Clear points where a person approves before the agent acts.

Is it right for you?

A good fit if…
  • Many repetitive questions across channels
  • Answers that already exist in your systems
  • A team ready to review the edge cases
Probably not if…
  • Every request is unique and high-stakes
  • No data or documentation to ground the agent
  • You want to remove people entirely from support

How it works

  1. 01

    Pick the job

    One task, one goal, one owner.

  2. 02

    Connect the tools

    Email, CRM, documents, calendars.

  3. 03

    Pilot with the team

    Real cases, real feedback, real numbers.

  4. 04

    Scale

    More tasks, more teams, same rules.

A recent project

Growth · Sales systems

Steady revenue growth

Lead generation, follow-ups and sales automations that keep the pipeline full, measured month by month.

All results →

Questions

Which AI models do you use?

The one that fits the task, cost and privacy needs; we are not tied to a single provider.

Is our data safe?

Agents only see what they need, access is logged, and sensitive data can stay in your infrastructure.

Can it speak Italian?

Yes, and in any language your customers use.

What happens when the agent doesn’t know?

It says so and hands over to a person, with the conversation and context attached.

Can we see what it did?

Every action is logged and searchable.

Where would AI save your team the most hours?

Tell us about your company. We review every request and set up a discovery call when there’s a fit.

Book a discovery call