solutions · managed ai

AI across your
company, done
securely.
Your team builds.
Zulti takes care of it.

We prepare your team, onboard what it builds with AI and keep everything inside the company, with access limited to your people, backup and clear rules. To cut costs and streamline processes without creating risk.

monthly fee
flat per company
onboarding
priced per project
The situation

Your team is already building with AI. Does the company know where it runs?

A dashboard built in Claude, a flow in Power Automate, a tracker in Lovable or SharePoint, a spreadsheet that became an app. The people who know the process know best where AI saves time, and that's why your team is already building. The problem is where: on each person's computer, in free personal accounts, without the company knowing. It has a name, shadow AI: AI used off the books, with no oversight. We're not against your team building with AI. We help the company do it right.

what happens today

The app works. So does the risk.

The problem isn't AI, it's where what it builds is kept. Under Brazil's LGPD (data protection law), the company is accountable, even when the data sits in an employee's account.

01
— Risk 01

Company data in personal accounts.

Finance spreadsheets, customer lists, résumés. All going through free accounts, under rules the company never chose. Company data outside the company.

risk · privacy and LGPD
02
— Risk 02

The builder leaves, the app goes too.

The dashboard a manager opens every morning depends on one person. If they leave, change roles or lose the account, the app and its history are gone.

risk · continuity
03
— Risk 03

Open link, no backup.

Anyone with the link gets in, nobody knows who accessed it, and there's no copy if something gets deleted. None of the controls your IT would apply to a company system.

risk · access and security
how it works

First the team learns. Then it builds.

It's not about turning AI loose on everyone. The team is prepared first, the rules are written down, and what it builds enters the company reviewed.

01
— start

Assessment

We map where the company already uses AI, with what data and what risks. ISO 42001 alignment is assessed in Zulti's PSA.

deliverable AI usage map →
02
— before building

Training

The team learns to use AI safely: what's allowed, what isn't, which data never goes in. An AI use policy is defined with the company.

deliverable team prepared →
03
— per app · fixed price

Onboarding

The app leaves the personal account and becomes the company's: Zulti reviews security, replaces personal credentials and converts the app to the company standard and brand.

deliverable company app →
04
— ongoing · flat monthly

Operations

Zulti hosts, monitors, backs up and keeps the catalog up to date. You use it, we look after it.

billing flat per company
what the company gets

What your team built, now held to company standards.

The same controls Zulti applies to the systems it runs, now on the apps your team builds. Without rebuilding what already works.

01
— Access

Only your people get in.

The apps work like an intranet: sign-in with the company account, with MFA or conditional access. Leave the company, lose access.

sign-in · company account
02
— Control

App catalog.

Which apps exist, who built them, who uses them and what data each one touches. Leadership sees how AI is used and receives a governance report.

governance · ISO 42001 and LGPD
03
— Operations

Hosting, backup and monitoring.

Infrastructure managed by Zulti, with a database only when the app needs one. The builder may leave. The app stays.

continuity · ongoing operations
04
— Standard

The team builds its own way. Zulti standardizes.

The team focuses on the process, following the data rules from training. Brand visuals, security and structure are handled by Zulti during onboarding. Those who know the process build; those who know security make it company-ready.

company standard · applied at onboarding
the possible paths

Ban it, let it run loose or do it right.

Banning AI goes against the tide: the technology is already entering companies, and those who stay out lose a competitive edge. Holding back only makes sense when there's no governance at all, because then the risk isn't worth it. Managed AI brings that governance.

Ban AILeave it as isPer-user licenseManaged AI
What the team already builtis loststays off the bookshas to be rebuiltis reused
Company datamoves to personal phonesin personal accountsin the companyin the company
Cost as users grow——grows per userflat per company
Team preparednonoit dependstraining included

Per-user license: platforms like Power Apps and Power BI. They're good products, and if your case calls for that platform, we'll tell you.

an idea for your company

Recognize who improves things.

Every onboarded app is a process someone on the team improved. Some companies turn this into an internal program that recognizes or rewards the people behind it. The catalog shows who built each app and who uses it, which helps you see who is driving the improvement.

Use AI to save time and cut costs. Without creating risk.
Book a call →
Frequently asked questions

Before bringing your team's AI inside the company.

What changes, what it costs and who owns what was built.

Why not use Power Apps or Power BI?+
They're good products, but licensing is per user and the app has to be rebuilt inside that platform. With Managed AI, what your team already built is reused, access stays with the company account and the price is flat per company: more people using it doesn't raise the bill. If your case calls for Power Platform, we'll tell you.
Why not just leave the team as it is?+
It works until the day the person leaves, the free account changes its rules or an outsider opens the link. The app becomes a company dependency with no owner, no backup and data in a personal account. Under the LGPD, the company is accountable.
What if I simply ban AI?+
Banning it goes against where technology in companies is heading and gives up a competitive edge. In practice, it also pushes usage onto personal phones and accounts, where nobody sees it. Holding back only makes sense when there's no governance at all. Training, clear rules and a safe place for the apps solve that, and the company gets the time savings.
My team can't code. Does this still work?+
Yes. With AI, the people who know the process can build. Training covers what's allowed and what isn't. Visuals, security and structure are handled by Zulti during onboarding, before the app becomes official.
What if the AI produced insecure code?+
That's exactly what onboarding reviews. When an app can't be made secure as it stands, Zulti says so and proposes rebuilding it as a project in Studio, with the price known upfront. Not every app is worth onboarding.
Why a monthly fee? Who owns the apps?+
What your team built belongs to the company: the app and its business logic. The platform that runs the apps is Zulti's: the catalog, sign-in integrated with the company account, security standards and day-to-day operations. The monthly fee is for using that platform, with hosting, backup, monitoring and access reviews included, plus its continuous evolution: new technology, security improvements, fixes and new features. That's why the price is flat and low, rather than a one-time purchase.
How much does it cost?+
Two parts: a flat monthly fee per company, which covers operations, and onboarding of each app at a fixed price, known before we start. The assessment and training come first. Prices depend on the size of the company and the apps; that's what the first conversation is for.
Where is the data kept?+
On infrastructure managed by Zulti, with restricted and logged access. What data each app uses and where it's stored is documented in the catalog, with a legal basis under the LGPD, the same discipline as Zulti's LGPD Compliance service.
Who it's NOT for

Managed AI isn't
for every case.

If you fit any of the scenarios below, we'll tell you in the first conversation.

✕
The app is the company's main product, sold to customers. Then the right path is Studio or a product team.
✕
You want just cheap hosting, without training or governance.
✕
You want to open AI up to everyone without preparing the team first.
✕
You want AI replacing people with nobody reviewing what matters.
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Next step

AI in your team, done the right way.

A straightforward 15-minute conversation. Tell us what your team is already building with AI and we'll show you the path. The person you talk to is the one who decides.

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