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EU AI Act Compliance Starts with Discovering What AI You Have

Authored by
Holistic AI Team
Published on
July 29, 2025
UPDATED
July 30, 2025
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The EU AI Act is now in effect, and important compliance deadlines are coming fast. Starting August 2, 2025, companies must meet new transparency and reporting requirements for general-purpose AI (GPAI) models. But here’s the real question: Do you even know where all your AI is? If the answer is no, your company is already at risk. AI systems are likely hiding everywhere in your business. Marketing teams use chatbots, HR runs resume screening software, finance has fraud detection systems, and sales teams deploy lead scoring platforms.

Gartner warns that by 2027, 75 % of employees will be building or modifying technology outside of IT’s visibility—up from 41 % in 2022. This echoes the same phenomenon with AI: if you haven’t discovered and catalogued every AI system in your business, many are likely hiding in plain sight—from chatbots and resume screeners to fraud detection and lead scoring tools.

The EU AI Act requires organizations to have full visibility into their AI ecosystem. You must identify every AI system in use—whether you built it, bought it, or it came embedded in a third-party tool.

According to Articles 16 and 26 businesses must maintain an AI inventory, classify AI systems by risk level, register high-risk AI, and keep detailed compliance documentation. Without full visibility,  you can’t manage risks, meet audit demands, or avoid violations—intentional or not. Beyond financial costs - which can reach up to €35 million or 7% of global revenue - regulatory investigations disrupt operations, waste executive time, and damage your reputation. Further, emergency compliance efforts tend to cost 3-5 times more than planning ahead and rushed fixes under regulatory pressure often create more problems.

What the EU AI Act Actually Requires

Companies must maintain detailed records of what AI is in their ecosystem, how AI systems work, what data they use, how they make decisions, and what their performance is over time.

In addition, for high-risk AI systems, you need:

  • Records ready for regulators to review at any time
  • Continuous monitoring for bias and fairness issues
  • Model cards and impact assessments
  • Regular system performance tracking

This applies to third-party AI services too. Regardless of whether you built it, bought it, or it is embedded within your third-party tools, you're still responsible for its compliance with the applicable regulations.

Common Challenges with AI Visibility

Most organizations face the same visibility challenges across four key areas:


Visibility Challenge What Happens Compliance Risk
Hidden AI in Software Teams use AI-enabled software without realizing it Untracked systems lead to audit failure
Department Silos No centralized oversight of tools Each assumes someone else handles compliance, leading to gaps
Legacy System Updates AI features get added over time Documentation becomes outdated
Cross-Border AI Use Varying laws across markets Regulatory inconsistencies and confusion

Below are examples of the costs associated with poor AI visibility.


Industry/Company What happened? What was the impact?
Healthcare Provider A patient scheduling system used AI for 18 months without proper consent processes or bias monitoring. A full regulatory investigation and significant fines.
Retail Chain AI monitoring warehouse employees wasn't classified as an AI system under the EU AI Act but couldn't handle both EU AI Act and financial regulations simultaneously. Privacy violations and incomplete risk assessments.
Investment Firm Their trading platform used machine learning but couldn't handle both EU AI Act and financial regulations simultaneously. Operational shutdowns and regulatory delays.

How Holistic AI Solves Your Shadow AI Problem

Holistic AI's automated platform finds every AI system in your organization within 24-48 hours, with zero disruption to your operations. You get automatic classification by risk levels and ready-to-use compliance documentation for each system.

What our discovery engine does

  • Scans your entire network automatically
  • Identifies shadow AI deployed by individual departments
  • Maps all systems to EU AI Act risk categories
  • Provides live dashboard with real-time compliance status

Why Manual AI Discovery Consistently Fails

Manual discovery can't keep up with modern business complexity. IT teams spend months interviewing departments, but employees don't always know their tools use AI. New systems get deployed faster than you can track them, and by the time you finish your inventory, it's already outdated.

Get EU AI Act Ready in Days with Holistic AI

The August 2nd deadline is almost here. Not knowing what AI systems you have puts your company at serious risk, but regulatory compliance can be automated and audit-ready with Holistic AI.

Our platform transforms the process of meeting complex compliance requirements into four simple steps:

  1. Upload your systems data or connect our scanner
  2. Get your complete EU AI Act readiness score in minutes
  3. Receive a prioritized action plan for the August 2nd deadline
  4. Download audit-ready documentation for regulators

Our automated monitoring also ensures you stay compliant with real-time alerts for new requirements. No more guesswork, no more surprises.

Start your free EU AI Act Readiness Assessment today and get the complete AI visibility you need for full regulatory compliance.

DISCLAIMER: This blog article is for informational purposes only. This blog article is not intended to, and does not, provide legal advice or a legal opinion. It is not a do-it-yourself guide to resolving legal issues or handling litigation. This blog article is not a substitute for experienced legal counsel and does not provide legal advice regarding any situation or employer.

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