Scattered management, stalled decisions and everything depending on you?
An autonomous solution that centralizes your management and keeps the operation moving for you, 24/7.
I come aboard your operation and build an agent that takes charge of the process: it follows every step, decides what has a rule, chases whoever needs to act and calls you only when the decision is yours. All over the WhatsApp your team already uses.
- 13 years building systems that run
- 60 days until it runs on its own
- Refund if the agreed indicators are not met
Illustrative scene
Sound familiar?
Four scenes that happen every week in your company.
Today
“I open three systems to find out if the order shipped.”
With the agent
The agent already knows — and alerted whoever had to act before you asked.
Today
“A simple decision waits until I answer.”
With the agent
What has a rule, it decides on the spot. What does not reaches you with the context ready: just approve.
Today
“Nobody knows where the process stands until someone complains.”
With the agent
Every step has an owner, a deadline and a status — visible to everyone, all the time.
Today
“I have reports on everything and trust none of them.”
With the agent
One number, pulled straight from the systems you already use. No shadow spreadsheet, no version per person.
What you get
An autonomous agent that takes charge of the process. Built only for your operation.
Not a chatbot that answers questions. A system that knows your company’s rules, follows every step and acts — every day, without tiring or forgetting.
Watches
Reads your systems, spreadsheets and conversations in real time.
Decides or delegates
By the rules we define together, in writing. No rule, the decision is yours.
Keeps it moving
Chases, confirms and logs over WhatsApp or Slack — with the right person, at the right time.
Everyone sees
Everyone involved sees the same status. No more “nobody told me”.
- ERP
- Spreadsheets
- Finance
- Inventory
Illustrative scene
The agent’s flows
Every rule in your company becomes a flow that runs on its own.
This is how the agent works inside: a trigger in your systems, data reads, a decision by the rule we defined, action over WhatsApp and a record. Five examples from different areas, all with the same anatomy — and nothing happens in a black box.
Late order
Operations
Illustrative flow
- Runs today
- 14
- Last
- #4821 · 2:32 pm
- Solved without you
- 11 of 14
How it works
Sixty days. From day one inside your company to a team running it alone.
Days 1–10
Diagnosis
I come aboard the operation. I talk to the people doing the work, read the systems and map exactly where management stalls.
Day 10
Indicators in writing
Together we define what must change and how we will measure it. Signed before the first line of code.
Days 11–50
Build
The agent is born inside what you already use. Every week you see a part of it working.
Days 51–60
Delivery and training
I present it to the team, train whoever will run it and hand management over to you.
+ 90 days
Support
Questions and adjustments included. New improvements are add-ons, agreed separately.
Why this is not just another AI service
Five commitments. None negotiable.
- Exclusive
- What I build for you is yours. Not a template, never resold to a competitor.
- Specific
- It solves your operation’s pain — not a generic problem the market made up.
- Robust
- Built to run every day, with real volume. Not a pretty demo that breaks on Monday.
- In your hands
- Management stays with you, documented. Nobody becomes hostage to me.
- In your reality
- I integrate what you already use. No system swap, no downtime.
The model
I work as a Forward Deployed Engineer.
It is what the market calls the engineer who leaves the tech company and goes to work inside the client’s operation until the solution actually works. Palantir created the role in 2009. In 2026, OpenAI and Anthropic built entire companies on it — because it is the only way AI gets out of the pilot and into results.
- 95%
- of enterprise AI pilots do not move the bottom line. The money goes into the demo and stops at the demo. That is what you avoid.
- MIT NANDA, State of AI in Business 2025
- 2×
- the chance of reaching production when the solution is built with an external partner and fitted to the company (67%) rather than assembled in-house (33%).
- MIT NANDA, State of AI in Business 2025
- 21%
- of companies redesigned their workflow when adopting AI — and that is what best explains impact on profit. The rest layered AI on top of the old process.
- McKinsey, The State of AI, March 2025
- Operations
- is where the biggest return is — inventory, orders, finance — while most budgets go to sales and marketing. It is exactly where I come in.
- MIT NANDA, State of AI in Business 2025
In plain terms: what separates the 5% who make money with AI from the 95% who don’t is having someone inside the operation, redesigning the real workflow. It is what Palantir sells to governments and OpenAI to large corporations — and what I do for your company.
Guarantee
Your investment is protected by the result.
A deposit covers the start. The rest only when the agent is running and the indicators we signed on day 10 are met. If they are not, I refund what you invested.
Price is set by the effort and by the value the result creates for your company — not by the hour, not by a price list.
What we put in writing
- The data and the infrastructure are yours
- The agent runs where you decide — on your server or your cloud — and nothing leaves the company without your authorization. Data handled under the LGPD (Brazil’s data protection law), from diagnosis to support.
- My commitment is to the indicator
- What we sign on day 10 is what I deliver. Not hours worked, not an open scope: the agreed result, measured the way we agreed.
- Start small, grow at your pace
- We can start with one basic capability that already solves a real pain and expand later, by add-on, as the return shows up.
How I embed in your company
I go to the operation
I sit with the people doing the work, not only with those in charge. I read the systems, the spreadsheets, the WhatsApp groups.
I build from the inside
The agent is born in the tools you already use. No system swap, no downtime.
You follow along every week
Each week, a visible part working. No disappearing for 60 days and returning with a black box.
I leave when your team runs it alone
I train the people who will use it, document everything and stay 90 days on support.
What I have built
Some results from those who have already brought me aboard.
What happens inside an operation stays there: I do not expose the client, the data or the processes of anyone who trusted me. Your company will get the same care. What I can tell is what I built and what changed.
WhatsApp customer service
A company with dozens of conversations a day depending on one person to reply. I built an agent that qualifies, answers what has a rule, and hands to a human only what needs one — with the history ready.
What changed
24/7 service. A human only steps in after qualification, with the customer’s questions already detailed. Handoffs with no value for the company: zero.
Tax integration
A rental operation issuing invoices by hand, with errors and rework. I integrated the system with electronic invoicing: the invoice leaves from the flow itself, validated before it goes.
What changed
Invoices of every kind issued from inside the system, with full control and a notification for each tax authority response. Manual rework: zero.
Management automation
A manager receiving data from several sources and consolidating by hand. I automated collection and distribution: each owner gets what is theirs, at the right time.
What changed
Each department is triggered on its own. Management is only called when something slips out of control or past a deadline — and is told immediately.
Questions
What every owner asks.
Isn’t AI in my company too expensive — or just hype?
Expensive is the order stuck for three hours and the customer calling. The agent only goes where there is a return indicator, defined in writing at diagnosis. If it is not met, I refund.
I already tried a tool and it did not work.
An off-the-shelf tool asks the company to adapt to it. Here it is the opposite: I build on top of how you already operate.
Will I become hostage to you?
No. Management stays with you, documented, with your team trained. Questions are included; you do not depend on me to operate.
My data cannot leave the company.
At diagnosis we define where each piece of data runs. The agent can operate on your own infrastructure.
My team will resist.
People resist what gives them more work. The agent takes exactly the tedious part off the team: chasing, checking, forwarding. And whoever operates it is trained by me at delivery.
I cannot explain what I need.
You do not have to. That is what the diagnosis is for: I come aboard, observe and bring the map.
My company is too messy to automate.
Mess is the normal state of a company that grew fast. The first thing the agent delivers is order: owner, deadline and status for every step.
The nautilus: the marine creature behind the name
Who joins your company
Nilo Aires Jr.
Software engineer · 13 years
- Business Administration, Information Systems track
- MBA in Software Engineering
- M.Sc. in IT (in progress)
Trained in Business Administration with an Information Systems track, an MBA in Software Engineering and a master’s in IT in progress: I learned to read the business before reading the code. Thirteen years building systems and integrations for real operations taught me the essential: great solutions come from understanding the process before writing the first line. When technology fails, it is almost always because it did not fit how the company works.
Why Nautilus
The nautilus regulates its own balance with internal chambers, one at a time, for 500 million years. Structure that works, precision without noise. That is the standard I chase in every operation.
São Luís, Brazil · on site or remote
A Nautilus AI brand
Tell me where your management stalls.
Thirty minutes, no ready-made proposal and no commitment. I listen, ask questions, and you decide whether it makes sense for me to come aboard.