Cookies on this site

Technical cookies keep the site running. With your consent, Google Analytics measures visits using its own cookies. You can change the choice whenever you like, from “Cookie preferences” at the bottom of the page. Privacy Policy

Skip to content

AI-native processes

We redesign your company's processes around artificial intelligence.

Orders, quotes, case files: each step is handled by an agent, a program that reads, decides within written rules and hands over to a person when needed.

  • I want to talk to you

Questions and answers are logged to improve the assistant: do not include personal data. Privacy policy

What changes

What changes when AI enters a process

Hours that by year's end move onto margin and new work.

The request arrives from four sources the company already uses: email, management software, attachment, history. Four agents work on it — records, terms, availability, exposure — each under rules that are written, dated and versioned. A supervising agent collects what they found and verifies it. Where the rules conflict the system stops and hands over: here an overdrawn credit line against same-day delivery, and the manager decides. From that confirmation comes a quote with two documents, the commercial one and the delivery one. The report stays in the request's file, with every step signed.

Your system, from request to quote

01 / 03

The agent

One goal, a set of tools, the freedom to choose the steps. It is the digital colleague that opens the management system, reads the attachment and writes the line.

52%

of executives at companies using generative AI already run agents in production.

Google Cloud, The ROI of AI, 2025

02 / 03

The orchestration

A narrow perimeter for each agent, a supervisor that assigns and checks. This is where you see who can build these systems and who cannot.

+90.2%

on an internal research eval: a multi-agent system against a single agent.

Anthropic, June 2025

03 / 03

Guardrails and permissions

What each agent can read, what it can touch, when it has to stop and ask. Written before the system touches anything.

97%

of companies breached through AI apps lacked AI access controls.

IBM, Cost of a Data Breach, 2025

The difference

Built for the AUDIT

  • The Martuccio AI team working on a multi-agent system.

    AI engineering team

    Multi-agent systems in production, designed and maintained by a team of professionals, Forward Deployed Engineers and Research Engineers, who know the field and the method.

  • The text of the European regulation on artificial intelligence.

    AI Act

    In force: fines up to 7% of worldwide turnover for prohibited practices, and transparency obligations apply from 2 August 2026. Our systems are born classified and documented, not retrofitted.

    Regulation (EU) 2024/1689, Article 99
  • One client's data in an environment isolated from the others.

    GDPR

    Isolated environments for every client, data processing agreements under Article 28, data ownership set in the contract. Compliance is a design requirement.

Book a consultation
The first call

Thirty minutes of consulting, no obligation

You tell us how you work today, which steps take up your time and what you have already tried. From there we see where a system would make sense and where things are better left as they are.

WE GET BACK TO YOU WITHIN 24 HOURS!

  • 01Agents
  • 02Automations
  • 03Vertical SaaS
  • 04Integrations
  • 05Internal platforms
  • 06Document systems
  • 07Sites and apps
“We teach Artificial Intelligence a trade”
Martin Martuccio - CEO & Founder