The training that turns uncontrolled AI use into clarity, confidence and control

It usually starts small.

Someone in marketing pastes a client brief into an AI tool to “speed up a draft.” A recruiter uses AI to rewrite interview notes. A product manager drops feature ideas into a chatbot to get a sharper roadmap. A developer asks an AI assistant to help debug a snippet of code. Everyone means well. Everyone is trying to move faster.

And in most organisations, nobody stops to ask the one question that matters:

Is this safe?

That’s how Shadow AI grows. Not because people are reckless, but because AI is easy, useful, and everywhere—while policies, tools and habits lag behind. The result is a workplace where AI is being used daily, but leadership has limited visibility, teams have no shared rules, and sensitive information can end up in places it never should.

This is exactly why Marvenq created “From Shadow AI to Safe AI.”

Because the goal isn’t to ban AI. The goal is to make it work for you—without sacrificing confidentiality, trust, or control.

What “Safe AI” actually looks like inside a company

Safe AI is not a 40-page policy that nobody reads. It’s not fear-based compliance. And it’s definitely not “we’ll deal with it later.”

Safe AI is when teams can use AI with speed and confidence because they know the boundaries. They know what’s allowed. They know what should never be entered into a tool. They know how to check AI output before it goes to a client, into a report, or into a product decision. And leadership knows where the risks sit, who owns them, and what “good” looks like.

That’s what this training delivers: not theory, but a practical shift in behaviour.

A training built around real moments from real teams

In this session, Marta Hovanesian walks your organisation through the exact situations where Shadow AI typically appears: the quick copy-paste, the “just generate it for me,” the internal document summarised in seconds, the sales email drafted on autopilot, the HR template created from real employee context.

Then we do something most organisations don’t do yet: we turn those moments into clear decisions.

We explore what actually happens when you put information into an AI tool—why some data is harmless, why other data becomes high-risk, and why “I didn’t mean to share it” won’t protect you when trust is lost. We make the risks tangible: confidentiality and data exposure, inaccurate output that creates false confidence, intellectual property issues, and vendor/security blind spots.

But we don’t stay in the risk.

We move to control.

From uncertainty to a rulebook people actually follow

The turning point in most organisations is simple: employees stop guessing.

Instead of asking “Can I use AI for this?” they learn to ask better questions:

• What is the goal of this task?

• What data do I truly need to achieve it?

• Is there a way to get the benefit of AI while sharing less?

• Does this output require review before it leaves the building?

Marvenq gives your team a practical framework that answers the most common day-to-day question:

“Can I put this into an AI tool?”

When that question becomes easy to answer, Shadow AI stops being invisible. Safe AI becomes the new default.

What changes after this training

After the session, you don’t just have a “better understanding.” You have structure.

Teams leave with guardrails they can apply immediately: a simple decision framework, a stoplight model (what’s safe, what’s sensitive, what’s not allowed), and a clear set of AI do’s and don’ts that fit real workflows. Leadership gets a clearer view on ownership and escalation: who decides what tools are permitted, what needs review, and what must be controlled to reduce risk without killing productivity.

And most importantly: your organisation moves from a reactive posture—hoping nothing goes wrong—to an intentional one: using AI responsibly, with confidence, at scale.