01 / ASSESSMENT
Where AI actually pays
We map the processes with the people who run them — not with the people who describe them. What comes out is a short list of real gains, kept separate from what merely demos well.
Business
Your company already has the processes.What's missing is wiring them to intelligence.
We work with companies that want AI inside the operation — not next to it. On your rules, at your level of privacy, with your own people in charge.
Where it starts
The pilot that never becomes an operation.
The question isn't whether AI can do the work.
It's what happens when it gets it wrong.
Almost every company has run an AI experiment by now. Few have turned the experiment into a process — because what's missing isn't the model, it's everything around it: work that survives a crash halfway through, a record of what was done and why, the point where a person approves before anything leaves the building, and a brake for when the answer comes back wrong. That's the work we do.
What we do
Four fronts, always in this order.
02 / INTEGRATION
Into the systems you already have
ERP, CRM, databases, spreadsheets, email, internal APIs. The agent shows up where the work already happens; nobody has to switch tools for it to work.
03 / GOVERNANCE
With a brake and a record
Every step is logged. Anything risky waits for a human approval. Who can do what is your decision, enforced by the system — not an instruction the model is free to ignore.
04 / OPERATIONS
After it goes live
Monitoring, tuning, and measurement of both cost and outcome. An agent nobody measures is a risk with good posture.
Privacy
Three tiers, one system.
The question that decides the project isn't which model to use. It's where the data is allowed to run. The answer changes by industry, by contract and sometimes by client — which is why it's your choice, not our imposition.
01 / OUR CLOUD
External model, your governance
The shortest path to a first process in production. Metered usage, credentials under your control, and no hidden relationship with the model vendor.
02 / YOUR CLOUD
The platform in your infrastructure
Everything runs inside your environment; only the model call leaves it. This clears most corporate data requirements without giving up frontier models.
03 / YOUR BUILDING
Platform and model in your infrastructure
Nothing leaves. For healthcare, legal, financial services and the public sector — or any operation where the data simply cannot cross the door.
Moving between tiers isn't rebuilding the project. What changes is where the model lives.
The people
Your team learns where the work happens.
Nobody learns to work with agents by watching a course.
You learn by having somewhere to fail cheaply.
We set up the environment where your team rehearses against real processes with the handbrake on: the agent reads, shows what it would do, and doesn't execute; the person stays the one deciding; and every rehearsal is recorded so it can be discussed afterwards. As confidence arrives, write access is released one process at a time, at your pace.
We work with your in-house team, not instead of it. The stated goal is that the operation keeps running without us.
Ownership
What you're left with.
Worth asking any AI vendor: at the end of this, do I own a system my team can run, or a relationship I can't end? Our answer is the first one — in three shapes, chosen by what your case actually needs.
Managed installation
We install, operate and support it inside your infrastructure. You get both the result and someone looking after it.
License
The platform is yours to run with your own team. We deliver, we train, and we stay close for as long as that's useful — and only that long.
Source code
On projects that require it, the code belongs to your company. It's the shape that settles the question above for good.
Track record
Not just talk.
Before proposing any of this to anyone, we built it for ourselves. Loom is Entelecy's agentic platform, and it's live and in daily use: multi-step processes that run on their own, stop for a human approval, resume where they left off, and leave a record of every step.
It isn't a demo prototype — it's software in operation, with the tedious problems already faced down: work that has to survive a crash, cost that has to fit, an error that can't be allowed to become a loss. That experience is what we bring into your building.
Getting started
Automating is easy to promise.Delivering it in your environment, on your rules, is the hard part.
If you already have a process in mind — or just a suspicion that one exists — that's where the conversation starts.
Entelecy · São Paulo, Brazil