Exceptional customer experience has become a key differentiator for businesses trying to stay ahead. Customers expect quick, efficient, and personalized responses, and traditional support methods often can't keep up with the volume and variety of those demands.

That's why AI in customer service has moved from experiment to standard practice. Salesforce's 2025 research shows 92% of service teams using AI report lower operational costs, and 63% of service professionals say gen AI helps them work faster.1

TL;DR: AI helps customer support teams handle higher volumes, personalize responses, reduce costs, and surface institutional knowledge faster. Salesforce (2025): 92% of service teams using AI report lower costs; 63% say gen AI helps them work faster. IBM research shows AI analysis of support tickets reduces costs by 23.5%. TextCortex helps support teams build AI-powered knowledge agents and automated response workflows on their own data.

The Role of AI in Customer Support

AI in customer support doesn't replace agents. It handles the repetitive, high-volume queries automatically and gives human agents the context they need to resolve complex cases faster.

The shift is already visible at scale. Klarna's AI assistant handled 2.3 million conversations in its first month, the equivalent of 700 full-time agents, while maintaining customer satisfaction scores on par with humans and cutting average resolution time from 11 minutes to under 2.

AI Chatbots and Virtual Assistants

Modern AI chatbots go beyond scripted responses. They're trained on your product data, FAQs, and historical tickets, so they can answer questions accurately in your brand's tone without a human in the loop. They're available 24/7, handle multiple conversations simultaneously, and escalate to a human agent when a case needs it.

Intelligent Ticket Routing

AI classifies incoming support tickets by topic, urgency, and required expertise, then routes them to the right agent or team automatically. IBM research shows this approach reduces support costs by 23.5%.2

Agent Assist

While a customer is typing, AI surfaces the relevant knowledge base articles, past resolutions, and suggested responses in real time. Agents spend less time searching and more time resolving.

Sentiment Analysis

AI monitors customer interactions in real time and flags escalating sentiment before a frustrated customer becomes a churned one. Support managers can intervene at the right moment, not after the fact.

Automated Follow-ups

Post-resolution follow-ups, satisfaction surveys, and proactive status updates can all run automatically on AI-triggered schedules, keeping customers informed without manual effort from the team.

TextCortex for Customer Support Teams

TextCortex is an EU-based enterprise AI platform that helps customer support teams build knowledge agents, automated response workflows, and agent assist tools on top of their own data. Teams connect their existing knowledge base, product documentation, and ticket history, and deploy AI assistants that answer in their brand's voice.

Results from MAHLE, a global automotive supplier and DAX company, deploying TextCortex for knowledge and support workflows:

  • 65% AI adoption within the first month
  • 5+ hours per week saved per employee
  • Support agents able to query internal documentation via natural language without leaving their workflow

TextCortex is ISO 27001 certified, SOC 2 certified, GDPR and EU AI Act compliant, serving Fortune 500 and DAX 40 customers worldwide.

Frequently Asked Questions

How does AI improve customer support?

AI improves customer support by automating high-volume repetitive queries, routing tickets to the right agents, surfacing relevant knowledge in real time for human agents, and enabling 24/7 availability without proportional staffing increases. Salesforce's 2025 data shows 92% of service teams using AI report lower operational costs.

Can AI replace human customer support agents?

No, and the data backs that up. AI handles volume and speed; humans handle complexity and relationship-sensitive cases. The most effective support operations combine both: AI resolves routine queries automatically and gives human agents real-time context to resolve harder cases faster. Klarna's AI handled two-thirds of chats while maintaining human-equivalent satisfaction scores.

What's the ROI of AI in customer service?

IBM research shows AI analysis of support tickets reduces costs by 23.5%. Salesforce's 2025 data shows 83% of service teams using AI saw measurable cost savings. Klarna's AI assistant did the equivalent work of 700 full-time agents. The ROI is clearest in high-volume support environments where the cost per ticket is easy to measure.

How does TextCortex help customer support teams?

TextCortex lets support teams build knowledge agents trained on their product documentation, FAQs, and ticket history. Agents get real-time answer suggestions while talking to customers; managers can build automated response flows for common queries. Everything runs on the team's own data with role-based access controls.

What AI tools do customer support teams use?

The main categories are: AI chatbots for front-line resolution, agent assist tools for real-time knowledge surfacing, ticket routing and classification systems, sentiment analysis for escalation detection, and knowledge management platforms that keep support documentation current and queryable. TextCortex covers knowledge management, agent assist, and chatbot deployment from one platform.

Is AI customer support GDPR compliant?

It depends on the platform. TextCortex is fully GDPR compliant, EU AI Act aligned, ISO 27001 certified, and SOC 2 certified. Customer data processed through TextCortex stays within your controlled infrastructure and never trains public models. Always verify compliance certifications before deploying any AI tool on customer data.

1 Salesforce. "State of Service." 2025. salesforce.com

2 IBM. "AI in Customer Service Cost Reduction." 2024. ibm.com