AI engineering · Milano
AI agents that reach production.
Inside the systems you already run. Microsoft, Claude, or self-hosted — the stack follows your constraints, not our margin.
01 / The problem
Most AI projects stop at the demo.
The demo works. Then it needs permissions, error handling, monitoring, and someone to own it when it fails at three in the morning. That is where most projects stall.
You may already hold the licences. Microsoft 365 Copilot answers questions; it does not carry out a process. The distance between those two things is what gets built here.
02 / How we work differently
01
The stack follows your constraints
We take no licence margin from any vendor. Where your data has to stay, what you already pay for, and how much runs through it decide the platform.
02
Everything runs on your accounts
Your tenant, your cloud, your servers. We hold access, not custody. If we part ways, nothing goes with us.
03
Production, not pilots
Permissions, error handling, monitoring and handover documentation are part of the build, not a later phase that never gets funded.
03 / The stacks
One method, three runtimes.
Five questions decide which one you get: where the data must stay, what you already pay for, whether the work needs judgement or plumbing, what volume runs through it, and who owns it after go-live.
01 / Microsoft
Copilot Studio, Power Automate and Azure AI, inside your own tenant. If you already hold Copilot licences, internal agents consume no additional credits.
02 / Claude
Agents, MCP and packaged skills — for work that needs judgement: reading, comparing, extracting, drafting.
03 / n8n
Self-hosted in your own infrastructure. One execution billed per workflow run, not per step. Nothing leaves your servers.
04 / Proof
2–3hours
saved per tender, across roughly 500 tenders a year.
Measured on a bid-evaluation agent in production pilot at a large retail and distribution group — 100% source accuracy across 268 checked cells, zero fabricated citations. Delivered by Praldo's founder under a previous engagement.
The rest of the record05 / How it works
Four steps. You can stop after any of them.
01 / Assess
Two weeks. Interviews, a look at your systems and licences, a shortlist with a cost and a benefit against each item.
02 / Prove
One use case, built on your real data, measured against criteria agreed before the build starts.
03 / Build
One- to two-week iterations with a working demo at the end of each. Hardening before scale, not after.
04 / Run
Monitoring, fixes, platform and model updates, and a fixed monthly capacity for changes.
Each step is fixed-price and priced before it starts. Nothing is billed by the hour unless you ask for it.
What task are you thinking about?
One concrete example from the past week is enough to start. Thirty minutes, no deck.
Book a 30-minute call