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Vienna · AI audit

AI Audit Vienna

A company-level AI audit for Vienna teams: what is already in use, where the risks sit, which systems are exposed, and what to do next.

Most AI conversations start in the wrong place. They begin with a tool choice or a policy memo. A proper audit starts with the business as it is actually being run. In Vienna companies, that usually means a mix of approved tools, personal workarounds, and a few systems that already touch sensitive data without anyone having written down the rules.

What an AI audit in Vienna should cover

We audit the company-level reality: who is using what, for which task, with which data, and through which channels. That includes shadow AI, unofficial browser tools, sidecar assistants, copied prompts, and the places where people have started to rely on AI without formal approval. If the goal is to reduce risk, you have to find the risk before you can govern it.

That same map helps Vienna teams decide what should happen next. Some uses are fine with light guardrails. Some need policy, security review, or restricted access. Others are already ready to move into a production workflow. The audit exists to tell the difference.

Why this matters in Vienna

Vienna is full of careful operators: mid-market firms, Mittelstand groups, startups on limited resources, and companies that have to keep working while they modernise. The audit is not there to slow that down. It is there to replace guesswork with a clear order of operations.

Because we are local and founder-led, the process can happen close to the people who actually use the tools. That means the audit can include operations, finance, sales, legal, and IT without turning into a long remote program. It also means we can tie the findings to the next step, whether that is AI consulting Vienna or a production project such as AI implementation Vienna.

Audit before policy

Many companies try to write policy before they know what they are trying to govern. The better sequence is to understand the current stack first, then decide where policy, security, or process changes are needed. That is also why this page is separate from board AI readiness assessment: the board needs oversight language, but the company needs a working inventory.

If the audit shows that the next step is implementation, we can help with the production work. If it shows that the main issue is enablement, the right next move may be workshops or a training program. Either way, you get a roadmap grounded in the actual Vienna operating context, not a generic checklist.

What you get

  • Find the shadow AI first

    We inventory what people are already using, approved tools, side-channel tools, and the hidden shortcuts that never made it into procurement.

  • Map data and security exposure

    We look at where prompts, files, and outputs travel, then separate low-risk use cases from the ones that need guardrails.

  • Turn uncertainty into a roadmap

    You leave with a prioritized list: what to stop, what to keep, what to secure, and what is ready for production.

  • Vienna-based, in person if needed

    Our only office is in Vienna, so the audit can happen quickly and close to the people who actually use the tools.

    AI consulting Vienna
  • Audit the company, not the board deck

    This is operational and company-level, distinct from the board-facing readiness work that lives in governance and oversight.

01Leadership

Founders who still build

Nik and Thomas bring the experience of building companies to the work of changing them. Today, they lead Specialty Tokens across engineering, products, education, and community.

Portrait of Nik Redl

Nik Redl

Director

Engineer and founder. Former Chief of Staff at Soona, founder and CEO of Mokker, grown to over one million users before its acquisition.

At Specialty Tokens, Nik works with teams on the problems they want AI to solve, from the first working session to the engineering and workshops that bring it into everyday use.

He studied Industrial Engineering and Mechanical Engineering at the Technische Universität Wien, speaks German and English, and is a keen golfer.

LinkedIn
Portrait of Thomas Schlossmacher

Thomas Schlossmacher

Director

Builder, operator and educator. Founder of Agentbase in San Francisco and former CPO of New Software. Teaches AI online to more than 75,000 subscribers.

Before Specialty Tokens, Thomas founded Agentbase, a San Francisco managed agent platform, and was CPO of New Software, a venture-backed revenue operations platform for ERP systems. Earlier, he worked at Corecam Family Office.

He studied Mandarin Chinese at the University of Ottawa, speaks German and English, and is a former track and field athlete.

LinkedIn

FAQ

Common questions

What is included in an AI audit?

We inventory current AI use, identify shadow AI, review tooling and access patterns, look at data and security exposure, and classify the work that should be stopped, contained, or moved toward production.

How is this different from a board AI readiness assessment?

A board readiness assessment is governance-facing; this page is about the company itself. We audit the operational reality so leadership can make decisions based on what people are actually doing.

Do you look at EU AI Act exposure?

Yes. We map the likely classification questions and the practical gaps that matter for a Vienna or Austrian company, especially where people already use AI in day-to-day work.

Can you run the audit in person?

Yes. Specialty Tokens is based in Vienna, so the audit can be done on-site or in a hybrid format, depending on who needs to be involved.

What do we get at the end?

A clear inventory, a risk map, and a prioritized roadmap that separates quick wins from the items that need policy, security, or process changes first.

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