The uncomfortable truth about AI in your company
AI Governance Consulting
Your employees are already using AI. In marketing, ChatGPT writes copy using customer data. In sales, Copilot analyses confidential proposals. In accounting, an AI reviews invoices. Management? In most cases, they have no idea. No overview, no rules, no control. This is the normal state of affairs in German companies — and it is a ticking time bomb.
- ✓42% of German companies use AI — very few know where and how (Bitkom 2024)
- ✓Without AI governance, you risk data protection violations, flawed decisions, and fines of up to EUR 35 million
- ✓With AI governance, you introduce AI faster, more securely, and more successfully — demonstrably
Your strategic success starts here
Our clients trust our expertise in digital transformation, compliance, and risk management
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For optimal preparation of your strategy session:
- Your strategic goals and objectives
- Desired business outcomes and ROI
- Steps already taken
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What happens when you introduce AI without governance
Why ADVISORI is the right partner
- We are ISO 27001 certified and integrate AI governance directly into your existing ISMS — no second management system, no additional overhead, but a logical extension of what you already have.
- We have been advising banks and insurers on DORA, NIS2, and supervisory law requirements for years. AI governance is not a new topic for us — it is the natural evolution of our regulatory expertise.
- We operate our own multi-agent AI platform. This means: we know AI risks not from textbooks, but from the daily development and operation of our own AI systems.
- We speak the language of BaFin, the ECB, and internal audit. When your governance framework must withstand an audit, we know exactly what auditors want to see.
⚠
The decisive point
AI governance is not a brake on innovation — it is an accelerator. Companies with a clear governance framework demonstrably introduce AI faster and more successfully. The reason: when rules are clear, teams do not have to start from scratch with every AI project. There is an approval process, a risk assessment, approved tools. New AI applications go live in weeks rather than months. Employees use AI actively and openly instead of covertly and uncertainly. The AI strategy scales because the framework grows with it. This is the difference between companies that fail with AI and those that use it to build competitive advantages.
ADVISORI in Numbers
11+
Years of Experience
120+
Employees
520+
Projects
Most companies start from scratch: no overview of AI in use, no policies, no defined responsibilities. That is not a criticism — two years ago, this was the norm. But since the EU AI Act, it is a risk. Our approach brings structure within 3 to 6 months, without disrupting ongoing operations.
Our Approach:
Inventory (2–3 weeks): We identify where AI is being used across the organisation — including where no one expects it. We uncover shadow AI, capture all systems, map data flows, and perform risk classification under the EU AI Act. At the end, you will know for the first time exactly how AI is being used in your company.
Framework design (3–4 weeks): Based on the inventory, we develop a governance model tailored to your organisation. No generic templates — a framework that builds on your existing ISMS, accounts for your DORA/NIS2 compliance, and defines clear rules for AI use.
Implementation (4–8 weeks): The framework is rolled out — with training for all levels (Art. 4 compliance from day one), approved tools and processes, monitoring mechanisms, and the first internal audits. From this point, teams can request and introduce new AI applications through a clearly defined process.
Operations and further development (ongoing): AI governance is not a project with an end date. Regulations change, new AI tools enter the market, and your organisation grows. We support you with regular reviews, adjustments, and audit assistance — so your framework always stays current.
"ADVISORI gave us a strikingly clear picture within just a few weeks of which AI tools our employees were actually using — much of it was completely unknown to management. The governance framework developed from this now gives us the confidence to use AI responsibly while meeting the requirements of the EU AI Act. An investment we do not regret."
Asan Stefanski
Head of Digital Transformation
Expertise & Experience:
11+ years of experience, Applied Computer Science degree, Strategic planning and management of AI projects, Cyber Security, Secure Software Development, AI
Our Services
We offer you tailored solutions for your digital transformation
AI Inventory and Shadow AI Assessment
You do not know how many AI tools are in use at your company? You are in the same position as 80% of all organisations. We create transparency.
- Complete capture of all AI systems — officially introduced and unofficially used (shadow AI)
- Analysis of data flows: which data goes into which AI tools? Where does sensitive information leave the organisation?
- Risk classification of each system under the EU AI Act (prohibited, high-risk, limited, minimal)
- Result: a complete AI register as the foundation for all further governance measures
AI Governance Framework — tailored to your organisation
Not a generic template, but a framework that builds on your existing governance landscape and works immediately.
- AI usage policy: what is permitted, what is not, which tools are approved, which data may be processed
- Approval process for new AI applications — fast enough for innovation, thorough enough for compliance
- Roles and responsibilities: AI Officer, AI Committee, or extension of existing roles (CISO, CDO, DSB)
- Integration into ISMS (ISO 27001), DORA, NIS2, and GDPR — one integrated system instead of parallel governance silos
AI Risk Management for Regulated Industries
Banks, insurers, and financial services providers are subject to heightened supervisory scrutiny. AI risks must be integrated into existing regulatory frameworks.
- Assessment of AI-specific risks: bias, hallucination, data protection, model drift, adversarial attacks
- Integration into the DORA ICT risk management framework — AI as part of operational risk
- NIS2-compliant cybersecurity for AI systems in critical business processes
- Audit-ready documentation for BaFin, ECB, and internal audit — we know what auditors want to see
Training and AI Competence
Since February 2025, all employees must demonstrably possess AI competence (Art. 4 EU AI Act). But this is about more than compliance — it is about ensuring your teams use AI safely and productively.
- Management briefings: EU AI Act, AI risks, and governance in a compact format for boards and senior management
- Departmental workshops: practical training for teams using AI — what am I allowed to do, what not, how do I report issues
- Art. 4 compliance training with documented proof — audit-ready documentation for auditors and regulators
- Train-the-trainer: we enable your internal multipliers so that AI competence grows sustainably within the organisation
Looking for a complete overview of all our services?
View Complete Service OverviewOur Areas of Expertise in Digital Transformation
Discover our specialized areas of digital transformation
Digital Strategy
Development and implementation of AI-supported strategies for your company's digital transformation to secure sustainable competitive advantages.
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Data Management & Data Governance
Establish a robust data foundation as the basis for growth and efficiency through strategic data management and comprehensive data governance.
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Digital Maturity
Precisely determine your digital maturity level, identify potential in industry comparison, and derive targeted measures for your successful digital future.
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Innovation Management
Foster a sustainable innovation culture and systematically transform ideas into marketable digital products and services for your competitive advantage.
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Technology Consulting
Maximize the value of your technology investments through expert consulting in the selection, customization, and seamless implementation of optimal software solutions for your business processes.
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Data Analytics
Transform your data into strategic capital: From data preparation through Business Intelligence to Advanced Analytics and innovative data products – for measurable business success.
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Process Automation
Increase efficiency and reduce costs through intelligent automation and optimization of your business processes for maximum productivity.
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AI & Artificial Intelligence
Leverage the potential of AI safely and in regulatory compliance, from strategy through security to compliance.
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Frequently Asked Questions about AI Governance Consulting
We only use ChatGPT and Copilot — do we really need AI governance?
Especially then. ChatGPT and Copilot are the most common sources of shadow AI — and the most dangerous, because anyone can use them and the barrier to entry is low. As soon as an employee enters customer data, contracts, or internal documents into these tools, you have a problem: a GDPR violation (processing by a US provider without a legal basis), potential loss of trade secret protection, and — since February
2025 — a violation of the training obligation under Art.
4 of the EU AI Act.
✅ What AI governance specifically changes here:
•
A clear policy: which data may go into which tool — and which must not under any circumstances
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Approved configurations (e.g. enterprise version instead of a free account)
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Documented training for all employees
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The result: employees use AI productively AND securely — instead of covertly and riskily
Does AI governance not slow down innovation?
The opposite is true. Without governance, you slow yourself down — you just do not notice it immediately. In companies without clear rules, the following happens: a team wants to introduce an AI tool. The data protection officer has concerns but no clear criteria. IT blocks it out of uncertainty. Legal wants an individual review. The whole process takes months — if a decision is ever reached at all.
🚀 With governance, it works like this:
•
There is an approval process with clear criteria — no case-by-case chaos
•
Risk assessment takes days, not months
•
Approved tools are immediately available to all teams
•
New applications are introduced through a defined process — quickly and securely
•
McKinsey (2024): Companies with AI governance have 3x more productive AI applications
What exactly happens if we do not comply with the EU AI Act?
Fines are just the beginning. The EU AI Act provides for graduated sanctions depending on the violation — up to
35 million euros or 7% of global annual turnover, whichever is higher. In addition, there are market bans for non-compliant AI systems, reputational damage, and personal liability for management.
📅 What already applies now:
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Since Feb 2025: Training obligation (Art. 4) — demonstrable AI competence for ALL employees
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Since Feb 2025: Prohibited AI practices (social scoring, manipulative AI) are punishable
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From Aug 2025: Transparency obligations for generative AI
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From Aug 2026: Full compliance for high-risk AI — risk management, documentation, human oversight
⚠ ️ The insidious part: many companies are already in violation of applicable law — they just do not know it yet.
We already have an ISMS based on ISO 27001 — is that not sufficient?
An ISMS is an excellent foundation — but it does not cover AI-specific risks. Your ISMS protects the confidentiality, integrity, and availability of information. What it does not cover: whether your AI decisions are fair and non-discriminatory, whether an AI model hallucinates and produces incorrect facts, whether a model loses accuracy over time due to drift and delivers worse results, and how you fulfil the documentation obligations of the EU AI Act.
🏗 ️ The ADVISORI approach:
•
We do NOT build a second management system — we extend your existing ISMS with an AI annex
•
Existing processes (risk analysis, audits, reviews) are reused
•
Existing roles (ISB, DSB) receive defined AI responsibilities
•
Result: An integrated system that covers both ISO 27001 and the EU AI Act — without additional overhead
How long does implementation take and what does it cost?
From the initial inventory to an operational framework: 3–
6 months. The first quick wins — training obligation fulfilled, AI usage policy in force, shadow AI captured — are in place within 2–
4 weeks.
⏱ ️ Typical timeline:
•
Weeks 1–3: Inventory and AI register
•
Weeks 4–7: Framework design and policies
•
Weeks 8–14: Implementation, training, first audits
•
From month 4: Ongoing operations and optimisation
💡 On budget: Integration into an existing ISMS saves 30–50% compared to a greenfield approach. A modular structure is possible — start with the assessment and scale as needed. Contact us for an individual proposal.
Why ADVISORI and not one of the large consultancies?
PwC, KPMG, and Deloitte offer AI governance — no question. The difference: the large consultancies sell generic frameworks for all industries. We know your world.
🎯 What ADVISORI does differently:
•
We are ISO 27001 certified ourselves — not just in theory, but with our own ISMS in daily operations
•
We have been advising banks and insurers on DORA, NIS2, and BaFin requirements for years — AI governance is the extension, not a new topic
•
We operate our own multi-agent AI platform — we know AI risks from development and operations, not just from studies
•
Suitable for mid-sized companies: lean processes instead of 200-page reports that no one reads
Success Stories
Discover how we support companies in their digital transformation
Generative KI in der Fertigung
Bosch
KI-Prozessoptimierung für bessere Produktionseffizienz
Fallstudie
Ergebnisse
Reduzierung der Implementierungszeit von AI-Anwendungen auf wenige Wochen
Verbesserung der Produktqualität durch frühzeitige Fehlererkennung
Steigerung der Effizienz in der Fertigung durch reduzierte Downtime
AI Automatisierung in der Produktion
Festo
Intelligente Vernetzung für zukunftsfähige Produktionssysteme
Fallstudie
Ergebnisse
Verbesserung der Produktionsgeschwindigkeit und Flexibilität
Reduzierung der Herstellungskosten durch effizientere Ressourcennutzung
Erhöhung der Kundenzufriedenheit durch personalisierte Produkte
KI-gestützte Fertigungsoptimierung
Siemens
Smarte Fertigungslösungen für maximale Wertschöpfung
Fallstudie
Ergebnisse
Erhebliche Steigerung der Produktionsleistung
Reduzierung von Downtime und Produktionskosten
Verbesserung der Nachhaltigkeit durch effizientere Ressourcennutzung
Digitalisierung im Stahlhandel
Klöckner & Co
Digitalisierung im Stahlhandel
Fallstudie
Ergebnisse
Über 2 Milliarden Euro Umsatz jährlich über digitale Kanäle
Ziel, bis 2022 60% des Umsatzes online zu erzielen
Verbesserung der Kundenzufriedenheit durch automatisierte Prozesse
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