We build the AI.Your team runs it.
Nine AI solutions for companies, from bottleneck diagnosis to agents, automation, growth systems and custom software. Implemented inside your operation and handed over to your people, not sold as slides.
Free 30 to 45 minute conversation. No commitment, no on-the-spot quote.
The premise
Everyone knows AI matters. Almost nobody knows where it pays for itself.
Most companies have already tried something: a chat subscription, a tool someone saw in a video, maybe a pilot that never left the pilot stage. AI became an agenda item and the day to day stayed exactly the same.
Meanwhile the processes stay manual. Proposals that take days. Support repeating the same answer. Reports assembled by hand every week. Meetings that never turn into action. Expensive people spending hours on work that does not need people.
That cost never appears as a line called bottleneck in your P&L, but it exists and it grows every month. Which is why nothing here starts with the technology. It starts with finding what the bottleneck costs, then removing exactly that.
The problem is not a lack of tools. It is that nobody mapped where a tool turns into money.
AI solutions for companies
Nine solutions. The diagnosis picks yours.
This is the complete menu of what we implement inside a company. Every module on it has a version already built and running somewhere, which is the only reason it is on the list. No company buys all nine: the diagnosis points at the two to four that remove the most expensive bottlenecks, and those get built.
The layer everything else plugs into
Agents are only as good as what they know about your business. The foundation comes first, then the things that run on top of it.
Company second brain
Your operation's knowledge in one place, structured for both people and AI: context, processes, decisions, history and documents, with permissions so each team sees what it should. The agents read from the same source your team does, which is what stops them from inventing answers.
Built on the AI OS core that runs my own operation every day
The work itself, done by agents
These are the modules that take repetitive work off expensive people. Each one runs with the approval gates you define, never unsupervised on anything risky.
WhatsApp and messaging agents
Sales, support or concierge on the channel your customers already use. The agent qualifies, answers, routes and books, and hands over to a person at the point you decide. Ports to Instagram, Slack, Telegram and web chat with the same core.
Built on the agent that answers my own business WhatsApp in production
AI admin assistant
Email, calendar and documents with triage, drafting and scheduling done by AI. It proposes, you approve, then it sends. The gate is the point: nothing leaves the company without a human saying yes until you decide otherwise.
Built on a Google Workspace assistant with OAuth and an approval gate
Meeting intelligence
Calls and meetings become structured records, decisions, action items and scheduled follow-ups. The pipeline runs from recording to task without anyone writing notes, so commitments stop depending on memory.
Built on a transcript to note to scheduled follow-up pipeline in daily use
Routines that run with nobody driving them
The unglamorous layer that quietly removes hours: things that should happen on a schedule, happening on a schedule.
Internal automations
Background workers that route incoming information, summarise what changed, alert the right person, assemble recurring reports and keep data tidy. They run on a server on a schedule, report when something breaks, and need no one to remember them.
Built on unattended workers running on a cheap VPS, monitored and logged
Demand, built as a system
This is where the group's marketing side and the AI side meet. Same discipline as the internal work: agents do the volume, a person keeps the judgement.
Content pipeline
Research, drafting and review across channels, with a human editor in control of what ships. Volume without losing the voice, because the brand rules live in the second brain rather than in someone's head.
Built on multi-agent content swarms and a library of roughly 65 skills
SEO and answer engine command centre
On-page, technical, Search Console and visibility inside AI answers, operated by supervised agents. Optimising for what ChatGPT, Perplexity and AI Overviews cite is now a separate job from ranking on Google, and this module treats it as one.
Built on nine SEO and AEO skills used on live client sites
Paid media automation
Google and Meta campaign building, structuring and optimisation with AI assistance, and an approval step before any change touches a live account. Budget decisions stay human on purpose.
Built on the Google Ads API and campaign work at marketplace scale
When the answer is a product, not an agent
Sometimes the bottleneck is not a process that needs automating. It is a tool that does not exist yet.
Custom app or SaaS build
A customer portal, a booking system, an internal operations console, or a product you intend to sell. Designed, built, deployed and handed over, with payments, authentication and notifications where the case needs them.
Built on a multi-tenant booking SaaS live with paying companies
The full implementation, from diagnosis to a trained team, is the Mindex Studio offer. The dedicated page covers the process, the proof and the questions companies ask before booking.
AI implementation in detailHow implementation works
Find it, build it, hand it over, keep improving it
Same sequence every time, whatever the modules turn out to be. The first three stages take roughly three months end to end, and payment is tied to delivery milestones, so nothing is paid upfront for work that has not happened.
The diagnosis is also the entry point on its own. You can buy stage one, get the bottleneck map and the roadmap, and stop there with something useful in hand. Nobody has to commit to a build before seeing the numbers.
Diagnosis
We talk to your team, map the processes and find where time and money are leaking. Every bottleneck comes out quantified: hours lost, money attached, and what it costs to leave it alone.
Bottleneck map, AI roadmap prioritised by return, and the proposed architecture.
Implementation
We build what the diagnosis prioritised and nothing beyond it. The foundation goes in first, then the two to four modules that kill the biggest bottlenecks, plus the integrations they need to actually act.
First automations in production during the phase, not only at the end.
Handoff
We train the team, document the system and stay for 30 days of tuning. The goal is the opposite of consultant dependency: the system running in-house with the people you already have.
Trained team, operating documentation, and a stable system in the day to day.
Keep improving
Handoff is not the end of the relationship unless you want it to be. The optional retainer keeps the system improving: tuning what is live, adding agents as new bottlenecks surface, and folding in new capability as the models change.
Monthly optimisation and new modules on request, renewed monthly, never locked in.
The investment is presented as a proposal after the discovery conversation, anchored in what the diagnosis found. There is no on-the-spot quote, on purpose: pricing a build before understanding the operation is how companies end up paying for the wrong thing.
What it is built on
We sell what we already operate
An agent handling real leads, right now
The agent that qualifies and answers my own business enquiries on WhatsApp runs in production every day. It is the module I sell most often, and it can be demoed live rather than described.
Multi-tenant SaaS with paying companies
A booking and reservations platform used daily by real companies, with payments, calendar sync and notifications. Proof that the software module ends in a product, not a prototype.
A multi-agent growth system at scale
I designed and built a multi-agent growth marketing system for a large Australian marketplace, covering paid media, SEO and prospecting. That is where the growth modules were pressure tested against real budgets.
One conversation to a working console
A single conversation about a print shop's workflow became a working operations console. That is the diagnosis motion in miniature: listen to the process, then build the thing that removes the friction.
The group's own operation runs on these modules: a second brain, roughly 65 skills, and agents working on a server around the clock. Every client build starts from something already running rather than from an empty file, which is the only reason a three month timeline is realistic.
Fit
Who this is for, and who it is not
It makes sense for your company if:
- Repetitive processes are eating hours of expensive people: proposals, support, reports, follow-ups.
- The business runs on WhatsApp, spreadsheets and systems that do not talk to each other, and rework became routine.
- You want a measurable result in a real process, not an AI pilot that exists so the company can say it has one.
- You want the system running in-house with your team trained, not a dependency on whoever built it.
It does not make sense if:
- You want an off-the-shelf chatbot installed this week.
- You are looking for team training or a course. That exists in the group, but it is a different product.
- You want to hand the whole operation over permanently instead of owning the system.
- Nobody on the team would have time to talk to us during the diagnosis.
Who delivers it
Three companies under MAFIVI GROUP
The solutions above are delivered by Mindex Studio. The other two companies exist because companies ask for two other things: teach us to do this ourselves, and build us the software.
Next Level AI
Teaches people to build AI systems that run day to day. Direct mentorship, structured programmes and a community.
Mindex Studio
Serves clients. Growth and performance marketing, SEO and answer engine optimisation, and AI implementation inside the operation.
Time4
SaaS and microSaaS implementation and development. Our own software, from product to paying customer.
How it operates
Three rules that are not negotiable
Small on purpose
The people doing the work touch the product. No account management layer between you and whoever executes, and the person who runs your diagnosis is the person who builds the system.
A number, or it does not count
A performance claim with no number attached gets flagged as directional, never sold as a result. That rule applies to what we report to you and to what we say about ourselves.
Systems over heroics
Anything done twice gets written down. Anything written down gets automated when it earns it. That is why each build starts from something already running rather than from an empty file.
FAQ
What companies ask first
What is MAFIVI GROUP?
MAFIVI GROUP is the group that everything runs through. Inside it are three companies: Next Level AI for education and mentorship, Mindex Studio for client work including AI implementation, and Time4 for software. One group, one standard of work, three different kinds of buyer.
Which part of the group do I talk to?
If you want AI implemented inside your company, that is Mindex Studio and it starts with a discovery conversation. If you want to learn to build these systems yourself or train your team, that is Next Level AI. If you want software built or you are looking at booking software, that is Time4. When in doubt, email the group and it gets routed.
How does an AI implementation start?
With a paid diagnosis, never with a build. Three to four weeks of talking to your team and mapping processes, ending in a bottleneck map with the cost of each bottleneck quantified in hours and money. Only then does anyone decide what to build, and the proposal comes anchored in your own numbers rather than in a generic package.
Do we get all nine solutions?
No, and you should be suspicious of anyone who says yes. The nine are the menu. The diagnosis picks the two to four modules that kill the biggest bottlenecks, and those are the ones that get built. Selling all nine to one company would be selling scope, not results.
Do we have to replace the systems we already use?
No. The system is built on top of what exists: your CRM, your WhatsApp, your Google Workspace, your documents and your spreadsheets. The rule is integrate, not replace. A tool swap only enters the conversation if the diagnosis shows the tool itself is the bottleneck.
What happens to our company data?
It stays with the company, in the company's own accounts. Anything sensitive passes a human approval gate before it leaves: no agent sends an email, changes a campaign or answers a customer outside the approval rules we define together. Unsupervised automation on risky actions is out of scope, in writing.
Who actually does the work?
Matheus Vizotto runs the diagnosis and designs the architecture, and builds alongside his own agents, with specialist contractors when scope requires it. There is no salesperson handing the project to a junior: the person who understood your bottleneck is the person who delivers the system that removes it.
Does this work remotely, and where do you operate?
We work with companies wherever they are. The diagnosis runs on conversations with your team plus forms, and the build is remote by nature, so your time zone is a scheduling detail rather than a blocker. We work in English and Portuguese, and on-site can be arranged when it genuinely helps.
Contact
Where to knock
AI implementation and client work go through Mindex Studio, education and mentorship through Next Level AI, and software through Time4. General enquiries, partnerships and press go straight to email and get routed from there.
Or email directly: hello@matheusvizotto.com