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.
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.
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.
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.
Finance spreadsheets, customer lists, résumés. All going through free accounts, under rules the company never chose. Company data outside the company.
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.
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.
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.
We map where the company already uses AI, with what data and what risks. ISO 42001 alignment is assessed in Zulti's PSA.
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.
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.
Zulti hosts, monitors, backs up and keeps the catalog up to date. You use it, we look after it.
The same controls Zulti applies to the systems it runs, now on the apps your team builds. Without rebuilding what already works.
The apps work like an intranet: sign-in with the company account, with MFA or conditional access. Leave the company, lose access.
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.
Infrastructure managed by Zulti, with a database only when the app needs one. The builder may leave. The app stays.
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.
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.
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.
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.
What changes, what it costs and who owns what was built.
If you fit any of the scenarios below, we'll tell you in the first conversation.
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.