Deutsche Telekom reports that AI agents can resolve approximately 40% of calls in certain use cases within months, as the company replaces traditional phone menus with conversational systems.

WHAT’S HAPPENING

Deutsche Telekom is replacing traditional automated telephone menus with artificial intelligence agents that can understand customer requests and resolve problems without requiring a human representative.

During a presentation at HumanX Amsterdam, Deutsche Telekom Chief AI Officer Kartik Sheth described how the telecommunications company is expanding conversational AI across its European operations.

Instead of navigating traditional menus that instruct callers to press numbers for specific departments, customers can explain their problems directly to AI-powered assistants.

The agents can help troubleshoot internet routers, answer billing questions, categorize customer requests, and direct more complicated issues to human representatives.

According to Sheth, the percentage of calls resolved entirely through AI is increasing by approximately one to two percentage points each month.

When Deutsche Telekom introduces AI to a new customer-service scenario, the technology initially handles approximately 20% of relevant calls.

Within a week, that figure can increase to 24% or 25%, eventually reaching approximately 40% within a couple of months.

However, Sheth acknowledged that increasing automation from 40% to 60% becomes more difficult, while complex cases continue to require experienced human representatives.

The company operates across 10 European countries, creating additional challenges involving different languages, accents, telecommunications systems, and regulatory requirements.

Its AI agents reportedly support between 40 and 60 languages, depending on the implementation.

These figures reflect company-reported operational experience rather than independently verified industry-wide performance.

WHY IT MATTERS

Traditional telephone support systems have relied on predetermined menus, call routing, waiting queues, and customer-service representatives.

AI agents introduce a different approach.

Rather than forcing customers to navigate a fixed set of options, conversational systems can interpret spoken requests, retrieve relevant information, and potentially complete certain tasks during the interaction.

For businesses, this creates opportunities to reduce repetitive customer-service work, improve response times, and make support available around the clock.

For customers, successful implementations could mean fewer menus, shorter waits, and faster resolutions.

The important change is that AI is moving beyond answering customer questions toward actually resolving customer problems.

Deutsche Telekom’s experience also highlights the limitations of automation.

Handling simple, repetitive requests is considerably easier than resolving complicated billing disputes, technical failures, or situations requiring judgment and discretion.

Increasing the percentage of calls managed by AI does not automatically guarantee better customer service.

An AI system that answers more calls but provides incorrect information or prevents customers from reaching human assistance could create additional problems.

Businesses must therefore measure the quality of resolutions rather than simply the volume of automated interactions.

The transition also raises questions about employee responsibilities.

As AI handles routine inquiries, human representatives may increasingly concentrate on complex technical problems, sensitive customer issues, and situations requiring specialized expertise.

WHO BENEFITS

• Customers: May experience shorter waiting times, simplified interactions, and faster answers to routine questions.

• Telecommunications companies: Can automate repetitive requests and direct employees toward more complicated customer needs.

• Small and midsize businesses: May gain access to conversational AI systems that provide customer support without maintaining large call centers.

• AI customer-service providers: Benefit from growing demand for automated telephone support, appointment scheduling, and customer assistance.

• Software integration companies: Gain opportunities to connect AI agents with billing platforms, customer records, scheduling systems, and business applications.

• Customer-service employees: May transition toward more specialized responsibilities that require problem-solving and human judgment.

• Multilingual businesses: Could benefit from AI systems capable of supporting customers across different languages without requiring separate teams for every language.

WHO LOSES

• Traditional phone-menu providers: May face declining demand for rigid, menu-based customer-service systems.

• Businesses relying on outdated customer support: Could face competitive pressure from companies offering faster and more flexible assistance.

• Providers of basic outsourced call-center services: May experience reduced demand for routine tasks that AI can perform effectively.

• Organizations deploying unreliable AI agents: Risk customer dissatisfaction, incorrect resolutions, and reputational damage.

• Customers with complicated problems: Could experience frustration if businesses make human representatives difficult to reach.

• Workers performing highly repetitive support tasks: May face changing responsibilities or reduced demand for certain activities as automation expands.

WHAT HAPPENS NEXT

Deutsche Telekom expects conversational AI to replace more traditional telephone menus as the technology becomes increasingly capable of handling routine customer requests.

The company’s longer-term vision involves AI agents acting as personalized customer relationship managers.

Rather than simply explaining how to change a service, an authorized agent could potentially complete the change during the conversation.

For example, a customer traveling internationally might ask an AI assistant to deactivate roaming services.

With appropriate account verification and authorization, the agent could carry out the request without transferring the caller to another department.

Other emerging applications include real-time telephone translation, call transcription, appointment scheduling, and automated account management.

Deutsche Telekom is also working with technology providers and startups to improve system integration, testing, and performance monitoring.

As adoption expands, companies will need to establish safeguards governing what information AI agents can access and which actions they may perform.

Businesses should also ensure customers can reach human representatives when automated systems cannot resolve an issue.

The next stage of competition will increasingly focus on successful task completion, customer satisfaction, operating costs, and the reliability of automated decisions.

For smaller businesses, conversational AI could become a practical way to provide professional telephone support without the expense of operating a full-time customer-service department.

However, effective deployment will still require careful integration, testing, maintenance, and oversight.

The larger shift is clear: The traditional automated phone menu is giving way to conversational AI systems that can understand requests and complete customer-service tasks. Deutsche Telekom’s experience demonstrates that automation is already handling a meaningful share of customer interactions, but the next competitive advantage will depend on resolving problems accurately while preserving access to human expertise.