Services

AI in customer service

Artificial intelligence is making waves in automating customer service: now AI agents can not only answer questions based on context but also act on behalf of the customer, while keeping the customer experience seamless.

Customer service that actually closes the case

Let's talk!

Years of frustrating customer service chatbots have taught customers to distrust automated customer service. Hard-coded flows and button trees give the illusion of conversation with no real substance.

As we enter the next era of customer service automation, chatbots have access not only to better AI models but also to real-time context data. When a customer asks a question, the chatbot finds relevant context like purchase details, flight details, or return status.

In the agentic era, chatbots go beyond understanding the context: they can complete tasks and move from being an answering machine to a helpful customer service assistant.

How Reaktor can help

We design, build, and run AI-powered customer service platforms, from the architecture underneath to the user-facing agents the customers interact with. That means composable systems tailored where it creates value, productized where it increases efficiency, and built around your processes and your data.

Strategy and assessment

There's rarely a shortage of ideas for where AI could help. The harder work is figuring out which ones are worth pursuing, what the business case actually looks like, and whether the data, systems, and people exist to support them. We help you make those decisions before committing to a direction, working across business needs, technical constraints, and the organizational change required to make any of it stick. What comes out is a roadmap you can actually build on.

Platform and agent architecture

We build an agent pipeline that understands user intent, reasons, and acts using your tools and knowledge base, and verifies every response against your requirements before it reaches the customer. Modular by design so it scales, and replaceable as the technology moves. Built to withstand the pressure of any spike or launch-day surge.

System integration

We connect your AI to the systems it needs: order management, CRM, billing, logistics. We handle permissions, sequencing, and action validation, so your fragmented backend stops being a bottleneck and becomes the engine the whole system runs on. Your catalog, your customer history, your real-time inventory: all of it accessible to an AI agent when it matters.

Governance, evaluation, and continuous improvement

Reliable production systems aren't built once and left alone, especially those that are built on top of non-deterministic LLMs. We design evaluation loops, monitoring, guardrails, and human escalation paths into the system from the start and continuously refine them. Success is measured by outcome quality and autonomous resolution rate, not by feature completeness.

Designing for resolution changes your cost structure

Most customer service automation is built to handle some volume and pass the rest to humans. The systems that actually move the needle are designed to resolve issues end-to-end, without a handoff, for the cases that don't need one. In our experience deploying these systems at scale, the difference shows up fast: significantly higher deflection rates, response times that drop by more than half, and support capacity that scales without growing the team.