AI consulting for businesses that need results, not a report.
Diagnosis, an execution plan, and hands-on implementation of AI agents and automation — from someone who has already applied this to products that serve millions of real users.
Your company decides on gut feeling while the competition has already automated
Most companies have already tried something with AI — a chatbot, an isolated automation, a tool signed up for on the corporate card. And in most cases it didn't change anything meaningful, because it was implemented without a diagnosis: without understanding the process, without measuring before and after, without a continuity plan. Meanwhile, important decisions keep getting made based on an outdated spreadsheet and the intuition of whoever's most tired.
Repetitive processes — support, triage, reporting, reconciliation — keep consuming the hours of expensive people who could be selling, creating, or solving a real problem. And whoever tries to fix it alone usually errs in the opposite direction: plugging a generic tool into three systems and calling it "digital transformation." Without a diagnosis, that becomes spending — not investment. The team gets frustrated, the project stalls halfway through, and the company goes back to Excel.
Fear of getting it wrong again keeps the company stuck in inertia, while smaller, faster competitors already use AI agents to serve, sell, and decide at scale — charging less to deliver more. The gap isn't budget. It's method.
Real diagnosis, a practical plan, hands-on execution
This AI consulting applied to business starts by mapping what the company already has — processes, data, systems, people — before talking about tools or models. It's a technical and business diagnosis, done by someone who has built products and companies for 20 years, not someone who only presents slides.
Anderson Nunes da Rosa isn't a consultant who lives off theory: it's two decades of a career that began in IT infrastructure, moved through business and commercial development serving brands like Netflix and Spotify, and today focuses on applied AI as founder and CEO of UB5 Applied Technology & AI and CTO of GeneXperience — companies he runs day to day, not someone else's case studies.
Starting from the diagnosis, the plan prioritizes where AI generates the fastest return: an agent that cuts support time, an automation that eliminates rework, a decision that starts being based on real data. Every recommendation comes with a deadline, an owner, and a success criterion — and execution is followed through until results show, not just handed off when the plan is delivered.
How the AI consulting works in practice
Technical and business diagnosis
Mapping current processes, data, and systems to identify where AI solves a real problem — not where it looks nice in a demo.
Prioritization by impact
Every opportunity is assessed by expected return, implementation effort, and risk. The plan starts with what brings results fastest, not what's flashiest.
Execution plan with an owner and a deadline
No generic report: every action has an owner, a deadline, and a success criterion defined before implementation begins.
Agent and automation implementation
Building or providing technical direction for the prioritized AI agents and automations, with architecture designed to scale — not a disposable pilot.
Follow-through and next cycle
Results measured against the criterion defined at the start, with course correction and a new round of prioritization for what comes next. The consulting only ends when the number that matters to the business moves.
Who this AI consulting for businesses is for
A methodology tested on real products, not in theory
This method has already been applied to projects that went from paper to real-world performance: SportvLand, Sportv's world on Roblox, passed 2.9 million visits connecting an audience aged 35 to 80 to Gen Z and Gen Alpha; and Banco Modal got a Banking as a Service platform for taking out and managing insurance right from the app. The full cases, with numbers and context, follow below.
See all cases →Frequently asked questions
What is AI consulting for businesses?
AI consulting for businesses is the service of diagnosing where artificial intelligence solves a real business problem and implementing that solution — not just suggesting it. It involves mapping processes and data, prioritizing by impact, building a plan with a deadline and an owner, and following through on implementing AI agents and automation until results show.
How long does it take to implement AI in a company?
A first AI use case with measurable impact usually ships in 4 to 8 weeks when the diagnosis is done well. Simple automations and targeted agents move faster; integration with legacy systems or process change across several areas takes longer. The delay is rarely about the technology — it's about a poorly mapped internal process.
How do I know if my company is ready for AI?
Your company is ready for AI if you can point to a repetitive process, with data available, that today consumes the time of expensive people — you don't need a data team or a perfect system. If the answer is "I don't know where to start," that is exactly the starting point of a diagnosis.
What's the difference between automation, a chatbot, and an AI agent?
Automation executes a fixed rule, always the same way, without understanding context. A chatbot converses with the user following a script or answering questions, but doesn't act on its own in the world. An AI agent is an autonomous system that receives a goal and executes it on its own, making decisions and using tools along the way.
When should you hire an external CTO?
Hire an external CTO when the company needs high-level technical decisions — architecture, stack, product priority — but doesn't yet have the scale to justify a full-time CTO. It's a way to get senior technical direction without the fixed cost of an executive hire.
Ready to take AI off the page?
Tell me about your business challenge and I'll respond with honest direction on where to start.
Let's talk →No spam, no automation — a personal reply from Anderson.