Before implementing AI, find out why it's going to fail in your company.
Growth Tech is a 1-month diagnosis that maps processes, people, and technology — and delivers an action plan showing what needs to change before any automation gets implemented.
Why do 70% of AI implementations fail?
It's not the tool's fault. It's not the team's fault. It's because the company tried to implement AI on top of an operation that wasn't ready to receive it.
Undocumented processes
AI can't learn what isn't written down anywhere.
Disorganized data
Without clean data, any AI model will produce poor results.
Unprepared team
New technology in an old culture breeds resistance and gets abandoned within 60 days.
Growth Tech is a surgical diagnosis of your operation.
Over 1 month, one on-site day per week, AI Start comes into your company and maps everything — what's working, what's stuck, and what needs to change so that any AI tool deployed afterward actually works.
You walk away with a complete report, a prioritized map of pain points, and a tailor-made implementation proposal for what we found.
- Another AI course
- Consulting that hands you slides
- A generic implementation
- An IT project
- A diagnosis of your real operation
- One day a week inside your company
- A pain-point map + action plan
- A deep operational overhaul
How Growth Tech works
Operational Diagnosis
What happens
- One on-site day per week at your company
- Mapping of all critical processes
- Audit of your current tech stack
- Diagnosis of your team's readiness level
- Identification of prioritized operational pain points
- Identification of automation opportunities
What you receive at the end
- Complete diagnosis report
- Pain-point map prioritized by impact
- Identified and viable AI opportunities
- Recommended action plan
- Personalized implementation proposal
Implementation
What happens
Based on the diagnosis, AI Start presents a 100% customized implementation proposal for the pain points identified.
May involve
- Automation of critical processes
- System integrations
- Team training (Citizen Developer)
- Generative AI implementation
- KPI dashboard
- Governance and LGPD compliance
Why afterward?
You don't buy an implementation in the dark. You know exactly what needs to be done before deciding how much you want to invest.
What you receive at the end of the diagnosis
What the numbers show
Documented ROI
In a pilot project with a services company serving 6,500 clients/month.
From diagnosis to AI
For the client where the 1,150% ROI was documented.
Diagnoses underway
Active Growth Tech engagements today.
6,500 clients/month. Personal Gmail. Spreadsheet. Zero data.
A services company with no documented processes. 4 critical pain points identified, all solvable with the infrastructure they already had.
This isn't us talking. It's someone who lived Growth Tech.
A real, documented result. A services company with 6,500 clients/month running on a personal Gmail account — reorganized and with AI implemented in 8 weeks.
What the diagnosis month looks like in practice
Initial audit
- Mapping of critical processes
- Interviews with leadership and team
- Identification of the first pain points
Operational depth
- Detailed analysis of workflows
- Audit of tools in use
- Mapping of the team's digital maturity
Opportunity identification
- We prioritize pain points by impact
- We identify which automations are viable
- We estimate the ROI potential of each solution
Delivery and action plan
- We present the diagnosis to leadership
- We deliver the report, pain-point map, and plan
- We present the implementation proposal
Frequently asked questions
Have another question? Talk directly to Pedro on WhatsApp.
Talk to PedroBecause a poorly done diagnosis costs much more. Companies with $5M in revenue and a stuck operation are leaving at least $500K/year on the table. The diagnosis is the cost of finding out exactly where the problem is — before investing in the wrong solution.
It depends on what the diagnosis reveals. That's the point. You don't buy an implementation in the dark. You see the diagnosis, understand what needs to be done, and decide how much you want to invest. Every company's reality is different.
One weekly meeting of 2 to 3 hours with leadership. Occasionally quick conversations with the operational team. AI Start adapts to the company's routine — not the other way around.
The main difference: we stay inside your operation for 1 month. We don't hand you a fancy presentation and disappear. We deliver a diagnosis built alongside the people who actually do the work, based on what we genuinely find.
You keep the complete diagnosis and the action plan. You can implement it with whoever you want, whenever you want. The report is yours.
Yes. We have special experience in hospitality, internet providers, regional retail, and B2B services — but the method works for any company with a disorganized operation.
Is your operation ready to receive AI?
A 15-minute conversation to find out where the problem is. No pitch. No pressure. Just an honest diagnosis.