MTD/00 — THE METHOD
AI answers any question.
It doesn't know which question changes the business.
For 13 years we've applied AI to real processes, with human judgment at the center of the decisions that define results.
PROPRIETARY METHOD — REV. 2026 · RIO DE JANEIRO — 22.9068°S 43.1729°W
MTD/01 — THE PRINCIPLE
Execution has never been this accessible — or human judgment this necessary.
AI democratized execution, and if the problem is wrong, it only accelerates the error. The edge is no longer executing more — it's deciding better.
MTD/02 — THE METHOD IN PRACTICE
The ask was to cut costs. The result came from revenue.
The company was after efficiency. Digging into the business, we found the biggest potential wasn't in cutting expenses but in unlocking a growth lever the original request didn't reveal.
SITUATION
Margin pressure led the company to ask for cost cuts.
OUR METHODOLOGY
Our methodology found a bottleneck limiting revenue, not efficiency.
RESULT
+R$3MM in 1 month
by redirecting the solution to the business's true lever.
“We hired Pareto to cut costs. We found a way to grow.”
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MTD/03 — HOW WE WORK
Everyone wants to execute faster. Few ask whether they're executing the right thing.
Before the AI runs, most of the work is already done. That's the moment that decides whether the technology will drive impact or just accelerate the wrong process.
Our methodology organizes those decisions before execution begins.
MTD/04 — WHAT WE'VE LEARNED IN 13 YEARS
What we've learned in 13 years.
After +2,000 projects, some patterns always repeat.
01
PATTERN 01/04
The request is rarely the problem
— The diagnostic almost always changes the project's direction.
02
PATTERN 02/04
The biggest opportunity usually appears outside the briefing
— That's usually where the biggest gains are.
03
PATTERN 03/04
Automating a bad process creates no advantage
— It just makes the error happen faster.
04
PATTERN 04/04
The best projects start small
— They grow after the results show up.
The method was born from practice, not theory.
MTD/05 — SPEED
From diagnostic to pilot in days.
AI projects usually take months to validate a hypothesis. We take another path. First we identify the opportunity. Then we put a pilot into operation. The decision to scale happens once results can already be measured.
Traditional AI projects
months
With the Pareto method
days
Each division = 1 month
MTD/06 — WHERE YOUR OPERATION IS TODAY
Automation improves processes. Transforming how you decide is what changes the business.
0
Curious
sporadic use, no method
Everyone tests AI. Nothing becomes a result that scales.
1
Assisted
AI speeds up the old process
It got faster — doing exactly what it already did.
2
Redesigned
flows designed on purpose
You gain speed, but the convincing error slips through uncaught.
3
AI First
judgment designed into the flow
The risk turns subtle: everyone producing the same thing, with the same models.
Operating at this level taught us the most advanced stage doesn't sustain itself. Without the layer that protects human judgment, it degrades from within. Finding where you are — and what's blocking the climb — is the diagnostic's first move.
LEVEL 00
LEVEL 01
LEVEL 02
LEVEL 03 — AI FIRST
The project ends.
The capability stays.
Our goal is not to create dependency. The redesigned process, the knowledge generated, and the solution built become part of the company's operation.
Thirteen years applying AI where the business happens.
We redesign processes to drive impact where it really matters.
Talk to a specialist →
MTD/07 — THIRTEEN YEARS OPERATING AI
13 years
operating AI First
+500
projects delivered
+2,000
clients served
Google · Meta
certified partner