Digital transformation consulting in Italy and across Europe, for organizations where the technology choice and the compliance choice cannot be made separately. A pilot that works is not the same thing as a system that survives an audit. We guide companies through the adoption of AI, IoT, big data, BIM automation and edge computing in environments where somebody, eventually, checks the result: a regulator, an insurer, a customer’s due diligence team. Treating the technical decision and the compliance decision as one question from day one is the difference between a proof of concept and something that ships.
What we do
Digital transformation, from the technology decision to the system that has to survive being audited.
AI and machine learning adoption, built compliance-in
Bringing a model into a regulated workflow is not the same exercise as bringing one into a marketing dashboard. We work through the technical integration and the governance question together, so the system that reaches production does not need to be rebuilt to reach compliance.
AI agents and AI-powered automation, prototyped fast
For teams running lean, the fastest way to take on more work is not to hire, it is to automate the office work that eats the most qualified time: reading documents, tracking deadlines, chasing approvals. We start from one process, build a working prototype with the team in a matter of weeks, and expand module by module, with a person validating every output rather than an agent left to run alone. It is an approach we also apply to our own document-heavy office work, which is why we know where it holds up and where it does not.
Technology scouting and the build-versus-buy decision
Before the investment, not after: which platform, which vendor, which capability to build in house. We map the options against what the organization actually needs to run, not against what a vendor’s roadmap promises.
IoT and edge computing integration
Bringing sensors, devices and edge processing into an operating environment that already has its own systems, its own latency requirements and its own failure modes, and making the new layer work with the old one instead of around it.
Big data architecture and data governance
The infrastructure decisions that everything else depends on: where data lives, who can access it, and whether the pipeline can actually support the model an organization is planning to put on top of it.
BIM automation for architecture, engineering and construction
Automating the model-based workflows that AEC firms run projects on, from design coordination to the handover package, in a discipline where the audit trail is part of the deliverable.
From pilot to production
A pilot answers one question: does the technology work. Production asks a second one: does it hold up under governance, documentation and scale. We work on the second question specifically, because it is the one that stops most pilots from going anywhere.
Who this is for
Digital health and life sciences. Where we are most at home. AI-assisted diagnostics, IoT-enabled monitoring and BIM-adjacent facility systems all eventually meet a regulator or an auditor, and the deployment has to be designed for that from the start, not patched afterward.
SMEs running with a lean team, that want to grow without growing headcount. Organizations that need to manage, consolidate and scale the business without a proportional rise in personnel costs, where AI agents and AI-powered processes take on the repetitive load, reading documents, tracking deadlines, structuring approvals, so the people already on staff spend their time on judgement calls instead.
SMEs and mid-caps adopting AI or IoT in a regulated environment. Companies where the technology looks straightforward until someone asks how it will be documented, audited or explained to a customer’s due diligence team.
Organizations with a pilot that already worked. The technology question is answered. The production question, governance, documentation, scale, is still open, and it is usually the one nobody budgeted for.
Architecture, engineering and construction firms working with BIM automation. Where the model is not just a design tool, it is the record the project gets judged against later.
Organizations that already know their AI systems will need to meet the EU AI Act. Digital transformation and AI Act readiness keep meeting in practice, and where that is the case this work runs alongside our EU AI Act readiness and AI governance practice instead of two advisers who never speak to each other.
How the work runs
The method does not change. The depth, the sequence and the starting point do.
01 · ASSESS. A structured review of what is already running: pilots, point solutions, supplier tools and the systems they touch. The output is a single map of where the organization actually stands, not a slide describing where it says it stands.
02 · DECIDE. Build versus buy, which platform and which integration path, weighed against the technical fit and the compliance exposure in the same conversation. A decision written down with the reasoning attached, so the people who have to fund it have something to argue with.
03 · INTEGRATE. AI models, IoT devices, edge processing, data pipelines and BIM workflows brought into the environment that already exists: the legacy systems, the existing data governance, and the teams who have to run it after we leave.
04 · SCALE. The pilot becomes a production system, with the governance, the documentation and the ownership that let it survive an audit, a customer’s due diligence process, or simply the next two years of use.
Why OneSynergy
You are not hiring a firm. You are hiring people. OneSynergy is the professional brand of Fulvio Domenico Marchetti and a network of senior independent specialists, each working under their own name and their own professional identity. No pyramid, no juniors learning the technology on your engagement.
A track record inside the discipline, not only around it. Network professionals have embedded AI-assisted design tools and data-driven workflows directly into architecture and engineering processes. This is not a system integrator taking over the stack: we work with the people who have to run the result after we leave, so the capability stays inside the organization instead of walking out the door with us.
Regulation and technology in the same conversation. A regulated environment turns every technical choice into a compliance choice too, which is why this area and the EU AI Act one keep meeting. Where the two overlap, this work runs alongside our EU AI Act readiness and AI governance practice, so the same conversation covers both.
How to engage the network
One conversation to start. No intake form, no onboarding sequence. You describe the pilot, the stack or the decision in front of you, and that conversation is where the perimeter gets defined. It costs nothing.
A second opinion on a pilot already running. The shortest way in: we look at what has been built against what happens when it meets an auditor, an insurer or a customer’s due diligence process, and tell you what is missing before you scale it.
A continuing presence, when a single project is the wrong shape. Some organizations need a senior technologist watching the stack over time rather than a project that closes and leaves the questions to reopen with the next tool.
The perimeter is built around you. This page deliberately does not list a package. A company piloting its first AI model and one running IoT across five plants need very different first months. What stays constant is the method: assess, decide, integrate, scale. What changes is the depth, the sequence and where you start.
Who actually turns up. Named senior professionals, selected for this specific problem. You get a single point of contact, a letter of engagement per assignment, and no agency margin layered on top of the professional fees.
The objection worth raising first. A network of independent professionals invites a fair question: who answers for the result. One name stays for the whole engagement, and the commitment is written before the work starts. And the limit, said plainly: if your procurement requires a single counterparty of a certain size, a specific insurance profile, or several hundred person-days of integration against a fixed deadline, a structured integrator is the better answer. We would rather tell you on the first call than three weeks into it.
Start the conversation
Bring us the pilot that worked and the production question nobody has answered yet, or a technology decision you have not made yet and would rather not make alone.
Thirty minutes, no commitment, and no perimeter agreed in advance. If the answer is that you do not need us, you will hear that too.
Where a system in scope for the EU AI Act is involved, this work runs alongside our EU AI Act readiness and AI governance practice. OneSynergy provides strategic and technical support on digital transformation and technology integration. We do not provide legal advice, and we work alongside your legal counsel.
Talk to the network
Tell us what you are trying to change and what has failed so far. Thirty minutes, no commitment, and no perimeter agreed in advance.
Not ready for a conversation yet? Start with the Digital Readiness Self-Assessment. Twenty-three questions across six dimensions, about ten minutes, and a scored breakdown by email.
If you prefer email, write to info@onesynergy.eu.