Innovation and Compliance

Bring Customer Service to the next level. How the EU-KIVO regulation supports this effort?

The EU-KIVO (EU AI Act) is an EU-wide regulation that sets strict rules for developing and using AI, focusing on safety, transparency, and fundamental rights. It introduces significant new obligations for companies and offers customer service the chance to use AI in a safer and more transparent way.

The key question: How can customer service teams innovate while ensuring responsible and legally compliant AI use?

Recognizing the EU AI Regulation as an Opportunity

Risk-Assessment:
Correctly categorize the risk levels—prohibited, high-risk, limited risk, and minimal risk. Depending on the classification, different regulatory requirements will apply to your analytics tools, chatbots, or routing systems

Building of Competence:
Empower your customer service employees to work confidently with AI. Invest in knowledge-building and raise awareness of ethical considerations, potential risks, data quality, and AI-supported decision-making processes

Establishing Safetyand Efficiency:
Use the regulation as an opportunity to implement AI systems that are secure, transparent, and fair. This not only strengthens customer trust, but also helps to streamline processes and enhance service performance

Four key steps to achieving your goal

Status Quo Analysis

Start with a comprehensive inventory. How are your customer service processes structured? Which AI applications are already in use? Where could further AI solutions add value? And how does the EU AI Act (KIVO) specifically affect your organization? This is followed by a deeper analysis to identify the gaps between your existing processes, technologies, and policies and the requirements of EU AI Act.

result: 
AI fully integrated and KIVO‑compliant

Risk Assessment & Process Design

Review the risk classification of your various AI applications, both existing and planned—according to the EU AI Act. Determine whether adjustments are needed to meet compliance requirements. Conduct an in-depth analysis of systems such as chatbots, intelligent routing tools, analytics platforms, or self-learning decision-making systems, focusing on their regulatory conformity and practical feasibility.

result:
Documented risk levels and adjustments needed

System Compatibility and Integration

Once the structure of AI-driven processes is defined, it’s time for technical fine-tuning: The adapted solutions are integrated into your existing IT infrastructure. Ensure that all relevant EU AI Act (KIVO) requirements are met—such as logging, traceability, or bias mitigation. Close collaboration with key departments such as IT, compliance, and data protection is essential for successful implementation.

result: 
AI fully integrated and KIVO‑compliant

Knowledge Transfer & Change Management

A transformed customer service landscape requires 
new skills and mindsets – both in operational teams and leadership. Targeted training builds AI confidence, supported by change management for sustainable adoption. This approach ensures that the “competence obligation” under Article 4 of the EU AI Act (KIVO) is met in a practical and lasting manner.

result: 
Confidence in communicating and using AI

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