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Building AI governance: scale safely instead of experimenting without control

AI is already in use in companies, often faster than strategy, rules and the organisation can keep up. We build AI governance into an effective steering instrument.

What many are experiencing right now

Shadow AI is growing faster than the controls

Employees already use AI in their daily work, often without approval, guardrails or any overview.

We support management and decision-makers, including those in compliance and risk management, in building AI governance into an effective steering instrument.

The focus is on clear guardrails, roles, risk assessment, data and access security, and enabling your employees.

This turns shadow AI use into controlled, scalable and value-creating AI use.

Whoever doesn’t steer AI today risks losing control tomorrow. Whoever sets up governance properly gains security, speed and competitive advantage.

Where we start

What AI governance achieves for you

Create transparency

About existing AI use, risks and where regulation requires action.

Secure compliance

EU AI Act, data protection, audit readiness and liability risks addressed in a structured way.

Drive value creation

Move AI initiatives from tool-driven activity to measurable value.

Strengthen acceptance

Enable employees and build acceptance for safe AI use.

Scalable foundations

For use cases, processes and the organisation, solid from the start.

Particularly relevant for companies that want to use AI economically, meet regulatory requirements and build acceptance in the organisation at the same time.

Where we make the difference

Our services

Five building blocks, usable individually or as end-to-end governance. Click a tile for details.

AI governance assessment

Including shadow AI, risk and compliance check

First we create transparency: which AI is actually in use today, where do risks arise, and where does regulation require action?

The result is a solid starting position instead of assumptions.

Guardrails and roles

Building decision and approval processes

We define who may decide what, how approvals work and which rules apply to AI use.

Clear responsibilities make governance workable day to day.

AI inventory and risk assessment

Documentation, monitoring and audit logic

Every AI application in use is recorded, assessed by risk and documented traceably.

That keeps you able to answer auditors and customers.

Data, access and security

Concepts for controlled AI use

We clarify which data may flow into which systems, who gets access and how sensitive information stays protected.

AI becomes usable without putting data protection at risk.

Enablement and guidelines

Hands-on enablement for the organisation

Rules only work if employees understand and accept them. We enable teams with guidelines and hands-on guidance.

Requirements become lived practice.

We’re here for you

Talk directly to our expert

Portrait of Andrea Hauer, Senior Consultant at Drescher Consulting

Andrea Hauer

Senior Consultant. Andrea Hauer is happy to take the time for a no-obligation initial conversation about your AI governance.