Your company already has data.
The real challenge is knowing what to do
with it.
In 90 minutes, you’ll walk away with the real Step 1 your company needs to take with Data and AI — no guesswork, no empty promises, just an executable roadmap.
Are you reaping the rewards — or leaving money on the table?
70%
of AI implementations fail.
Not because the technology is bad. Because the data underneath it is broken.
The difference between who grows and who falls behind is called data structure. While you try to make AI work on the fly, your competitor is already ahead.
The 3 things AI unlocks once your data is ready.
It’s not magic. It’s a consequence. When your data is clean, connected and accessible, three revenue levers appear — and they’re measurable.
Revenue Automation
AI that recommends the right product, at the right moment, to the right customer — without relying on your sales team’s memory.
Churn Prediction
You know who’s about to leave before they go. If you know, you recover. If you recover, you keep the revenue that cost you so much to win.
Smart Prioritization
AI shows you where to invest R$ 1 to reap R$ 10. Stop deciding on gut feeling — start deciding on data.
From chaos to +15% revenue in 4 months.
The path:
Data
→ AI → Gold
Three phases, sequential, no skipping steps. This is what Lucas and Samuel will break down lesson by lesson — including which one you need to start with first.
Unify Data
- Map where each piece of data lives today
- Connect everything into a single place
- Build the single source of truth dashboard
AI in Operation
- Train models on your own data
- Predict churn before it happens
- Recommend the right price and product
Orchestration
- AI runs on its own in the background
- Revenue grows without a linear ratio
- You sleep. The system works.
Question 1 of 2
How are your CRM and data structure today?
In practice, how does your team make decisions today?
In this hour and a half of conversation, you’ll walk away knowing:
Why 70% of AI implementations fail
And exactly what to do so yours isn’t one of them — with a checklist at the end of the class.
The 3-phase Roadmap broken down
Unify data (1–3 months), AI in operation (~1 month), automatic orchestration. With real timelines and pitfalls.
What your Step 1 is — specifically
It depends on where your operation stands. It’s not a one-size-fits-all recipe: it’s applied diagnosis.
A real case — before and after
Same industry, same size, same pain points. How much revenue grew and in how many days.
The real investment (honest ranges)
Spoiler: far less than it seems. And far less than staying stuck for another 12 months.
How to get started — by Monday
An executable 30-day plan. You leave the class knowing what to delegate to whom.
Who’s here with you.
Two Incuca partners leading the session side by side. Business + Technology, on the same stage.
Lucas Stefanello
Over a decade structuring data operations at companies that grow for real. He leads the business side: ROI, prioritization, how data turns into revenue.
Samuel Stefanello
Data engineering in his veins. He leads the technical side: architecture, models, stack choices — no fluff, just what works in real life.
Before you ask.
You can wait 12 months for your competitor to do this — or start now.
The data is already there. So is the opportunity. All that’s left is deciding which Monday your operation becomes a different one.
