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Agentic AI for Customer Service
AI Customer Service Agent
Customers expect instant answers across every channel. valantic’s AI Customer Service Agent handles inquiries 24/7, integrates with your existing systems, and keeps getting smarter with every interaction.
24/7 service, personally scaled.
Customers expect an immediate answer whether they reach out at noon or midnight, through chat, voice, or messaging. Most service organizations are not built for that. They have the people, the processes, and the systems. What they lack is the capacity to be always on without the cost of being always staffed.
The volume of repetitive inquiries keeps service teams occupied with questions that follow a pattern: order status, returns, account changes, simple complaints. Every hour spent on those is an hour not spent on the complex cases and sales opportunities that require a human.
The AI Customer Service Agent is valantic’s agentic AI offering for customer service organizations. We deploy one intelligent AI layer across all customer touchpoints, integrate it deeply with your backend systems, and design it to keep improving as it handles more interactions.
Where most customer service AI deployments fall short
The same four challenges come up in almost every service organization that has tried to scale AI:
How we help: three capabilities, one AI service layer
The AI Customer Service Agent is built across three integrated capabilities. Each one delivers value independently. Together, they create a service operation that scales without proportional cost increases.
01 · Unified Agentic AI
One AI brain across all customer touchpoints, handling inquiries consistently whether they arrive via chat, voice, email, or messaging.
Unified Agentic AI
One AI layer across all customer touchpoints, handling inquiries consistently whether they arrive via chat, voice, email, or messaging.
- Omnichannel AI agent: a single AI brain for chat, voice, and messaging channels ensures consistent, high-quality customer experience regardless of where the interaction starts
- Autonomous case handling: connected workflows and business logic enable the AI to understand requests, decide on the next step, and resolve recurring inquiries with minimal human intervention
- Shared context and continuous learning: the AI uses customer history, company knowledge, and performance data to give more accurate answers and improve with every interaction
Result: higher first-contact resolution, shorter handling times, and more capacity for human agents to focus on value-adding work
Seamless System Integration
The AI agent is only as effective as the systems it can access. We connect it to your existing infrastructure, so it always has the right information in real time.
- Deep integration with CRM, ERP, and backend systems: the AI always has access to relevant data including customer records, order status, contracts, and internal guidelines
- Context-aware responses: by linking customer data, contract information, and business rules, the AI provides precise and personalized answers rather than generic replies
- Smarter service workflows: integrated AI eliminates manual lookups and media breaks, accelerating case resolution and reducing errors
Result: faster, more reliable service processes and a better experience for both customers and service staff
Continuous Learning and Optimization
The AI service agent improves with use. Every interaction is an input that makes the next one better.
- Analytics and feedback loops: we continuously analyze interaction data and feedback to improve answer quality and expand automation coverage
- Expanding automation: the AI learns from recurring inquiries and real interactions, enabling more cases to be handled without human intervention over time
- Better customer interactions: ongoing optimization delivers faster, more relevant, and consistent experiences across all touchpoints
Result: increasing automation rates, measurable improvements in customer satisfaction, and a clear path to ROI
What you take away
Five concrete results your organization gains from the AI Customer Service Agent:
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1
24/7 omnichannel support
Always-on service across web chat, messaging apps, and contact centers, without extending opening hours or adding headcount.
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2
20 to 40% request deflection
Routine inquiries are handled fully automatically, significantly reducing the load on your service team.
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3
Scalable customer service
AI agents absorb growing volumes and new interaction types without proportional increases in staff or cost.
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4
Higher customer satisfaction
Reduced waiting times, faster resolutions, and consistent quality across channels lead to measurable improvements in CSAT and NPS.
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5
Reusable platform for new use cases
The same agent infrastructure supports additional use cases over time, making each new capability faster and cheaper to deploy.
Proven in practice
See all valantic case studies for more examples across industries.
First step: the AI Customer Service Starter Package
The right starting point is a two-day workshop combined with prototype development. The objective is to validate and shape a relevant AI service use case into a tested prototype with clear business goals, defined scope, and stakeholder-ready results.
2-day kickoff workshop
Identify relevant use cases and prioritize one concrete AI service use case for development.
Use case definition and prototype
Detailed use case definition, conversation design, and implementation in the valantic environment, including testing.
Stakeholder-ready output
A video and presentation to showcase the prototype and communicate results to management and stakeholders.
Format: Two-day kickoff workshop including preparation and follow-up, plus prototype development
Investment: EUR 25,000
Start your AI journey with valantic
AI services overview
Discover the full portfolio of AI offerings at a glance.
AI services overview
Our teams turn ideas into measurable results with a clear path, pragmatic execution, and visible business impact. From concept to scale, we connect strategy, data, and technology to deliver AI that performs in the real world.
AI North Star & Value Roadmap
Turn AI ambition into a prioritized roadmap with measurable business impact.
AI North Star & Value Roadmap
Most AI initiatives stall between pilot and scale. The AI North Star & Value Roadmap gives CxOs a clear AI roadmap, prioritized use cases, and an operating model built for execution.
AI Code Factory
From AI-assisted experimentation to production-ready software.
AI Code Factory
Most engineering teams have vibe-coded PoCs that never reach production. The AI Code Factory gives development organizations the governance, standards, and enablement to scale AI-assisted coding across the entire software delivery lifecycle.
DemandSense AI
Highly accurate forecasts for inventory and revenue.
DemandSense AI
Spreadsheets and traditional forecasting methods cannot keep up with volatile markets. valantic’s DemandSense AI combines machine learning, multi-modal product data, and stockout-aware modeling to turn demand planning into a competitive advantage.
Enterprise AI Agent Hub
The enterprise platform for AI agents that work together.
Enterprise AI Agent Hub
Most enterprise AI initiatives stay fragmented. valantic’s Enterprise AI Agent Hub brings scattered pilots together into a secure, scalable platform of coordinated AI agents that operate across systems, functions, and business units.
Golden Record Agent
Clean, governed master data as the foundation for AI at scale.
Golden Record Agent
Over 80% of AI projects fail because of poor data quality. valantic’s Golden Record Agent identifies, cleanses, and governs your master data so your AI initiatives have a foundation they can rely on.
Further AI insights
Blog · May 19, 2026
Why so many AI pilots in Customer Service fail – and how to make them work
For many companies, customer service is an obvious starting point for experimenting with AI. The demo is convincing. Expectations are high. Nevertheless, only a few pilot applications make it into regular productive operation. Three typical patterns and concrete approaches to how AI works in service "
Learn more Why so many AI pilots in Customer Service fail – and how to make them work
Case Study
Protected: Toyota: Digital Customer Service with Conversational AI
Toyota Germany combines technology, service, and sustainability at the highest level. Smart, cloud-based solutions enable customers and retail partners to be served more quickly, easily, and digitally—for a service experience that seamlessly combines the future, efficiency, and personal contact.
Learn more Protected: Toyota: Digital Customer Service with Conversational AI
Study
Digital Excellence Outlook 2026 - AI at Scale
The new study "Digital Excellence Outlook 2026: AI at Scale" shows how companies can strategically anchor AI and use it sustainably.
Learn more Learn more
Download
Report: Zendesk CX Trends 2026
Discover what matters most to consumers in CX, why AI and transparency are key to personalized experiences, and how you can master them.
Download Report: Zendesk CX Trends 2026
Blog · December 16, 2025
Scaling customer loyalty with Agentic AI and self-service
Eliot shows how AI, Agent Assist, and Self-Service can make customer service scalable without losing the human touch. In our interview, Eliot COO Michaela Schmidke-Puchtinger shares best practices, concrete use cases, and recommendations for companies that want to make their service more efficient, faster, and more customer-centric.
Learn more Scaling customer loyalty with Agentic AI and self-service
Case Study
V-ZUG AI Assistant: Smart Product Guidance for a Seamless Customer Journey
V-ZUG's AI Assistant, an AI-powered RAG chatbot, provides 24/7 product consultation, thereby optimizing the customer journey. With 9,000 interactions in nine months and only 0.6% negative feedback on responses, it relieves support and sets new standards in digital customer interaction.
Learn more V-ZUG AI Assistant: Smart Product Guidance for a Seamless Customer JourneyReady to make customer service always on?
Most service organizations are managing demand rather than transforming it. The AI Customer Service Agent is for teams that want to stop adding headcount every time volume grows, and start building a service capability that scales with the business instead.
