If your problem is worth doing well, we should talk.

I design, build, and integrate bespoke AI systems — agentic, document-heavy, and operationally complex — that earn their place in production, not just the demo.

Begin a conversation Read the method
Agentic & RAG Document & Compliance AI Complex Operations Strategy & Integration
The Method

Four phases. Each one is a decision point, not a checkpoint.

01
Diagnosis
Two weeks inside your operation — interviews with the people doing the work, a clear-eyed view of your data, and a written diagnostic you own whether or not we proceed.
02
Architecture
Before a line of code, we publish the architecture: model choices, retrieval design, data flows, and the failure modes we design against. Approved before we build.
03
Build
A small, senior team — no juniors, no offshoring. Weekly working demos against measurable acceptance criteria. Your people stay in the loop the entire way.
04
Handover
Production deployment, complete documentation, and a transfer I stake my reputation on. The work isn’t done until you don’t need me.
Selected Work

A few engagements I’m permitted to describe.

Flagship
Document & Compliance AI
Days → Minutes
per conformity check

I’ve built systems for regulated workplace-safety compliance that read, cross-check, and flag gaps across complex safety documentation — turning manual, error-prone review into fast, fully auditable checks.

Agentic & Retrieval
RAG
answers from your data

I’ve built agentic retrieval systems and LLM knowledge bases that answer from your own documents with citations — including an adaptive AI tutor that responds to how each learner actually progresses.

Complex Operations
Multi-agent
coordination across systems

I’ve built multi-agent architectures that coordinate perception, planning, and action across several independent systems working toward a shared objective.

The Principal

I run a deliberately small practice. You work directly with me — the person who designs and builds your system — not an account manager, not a rotating bench. When an engagement needs specialised hands, I bring in trusted collaborators I’ve worked with for years. That is what “we” means here.

Begin a conversation

The first conversation is private and unbilled.

A Principle

“The hardest part of enterprise AI is not the model. It is the quiet, careful work of making something a hundred people will trust on a Tuesday morning.”

— From my working notes
Questions

What people ask.

The questions that usually decide whether a conversation is worth having.

Who are you?
I’m Gianluca Di Mauro — an independent AI engineer and researcher based in Italy. My experience includes agentic workflows, retrieval-augmented generation (RAG), document-heavy automation, and production systems for complex operational environments.
What kind of problems are a good fit?
I work best on problems where accuracy, traceability, and integration matter: document review, compliance checks, retrieval from private knowledge, multi-step operations, or internal tools that must earn trust in production.
What experience do you bring?
I’ve built RAG systems, LLM knowledge bases, adaptive tutoring tools, document and compliance workflows, and multi-agent architectures that coordinate perception, planning, and action across systems.
How does a first engagement usually start?
We usually start with a private, unbilled intro call to assess fit. If the problem is serious enough, the next step is a paid Diagnosis: interviews, data review, system constraints, risks, and a written diagnostic you keep.
Can you work with an existing team?
Yes. I work best alongside founders, CTOs, product leads, operations teams, or internal developers. My goal isn’t to create dependency — it’s to leave you with a system and operating knowledge your team can trust.
When is this not the right fit?
I’m not the right fit for quick chatbot wrappers, vague automation ideas without operational ownership, or projects where nobody can give me access to the people, data, and constraints that decide whether the system will work.
Begin

Bring me the problem worth doing well.

I take on a small number of engagements each quarter. The first conversation is private, unbilled, and focused on fit — not a demo, not free consulting.

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Pick a time

Private and unbilled. Enough depth to know if we’re the right match.