Experience Area

Customer Service Automation

We've built AI systems that process millions of customer messages per year, across languages, channels, and countries. From intelligent triage to fully automated resolution.

What We've Seen

Customer service teams everywhere face the same pattern: rising volumes, high expectations, and limited capacity. During peak periods, backlogs grow, quality drops, and agents spend most of their time on repetitive tasks they’ve handled a thousand times before.

We’ve worked with these teams. We understand the operational reality: not just the technology, but the workflows, the edge cases, and the human dynamics that determine whether automation actually works.

What We've Built

The capabilities we bring are battle-tested across multiple large-scale deployments.

Classification and Routing

We've built AI pipelines that analyze incoming messages: language, intent, sentiment, urgency, product category, and route them to the right team or process automatically. No manual triage.

Response Drafting and Automation

For standard request types, we've built systems that generate response drafts or handle requests end-to-end. The level of automation is always configurable: from AI-assisted suggestions to fully automated processing with human oversight at defined checkpoints.

Multi-Channel, Multi-Language

We have production experience with email, chat, ticket systems, and web forms, across 50+ countries and multiple languages. Our language models and AI pipelines are designed for real-world text: messy, multilingual, and full of context.

Monitoring and Continuous Improvement

Every system we build includes real-time dashboards for classification accuracy, automation rates, and response quality. The system improves over time as new data flows through it.

How a Typical Engagement Works

  1. We analyze your message data: volumes, types, languages, routing patterns
  2. We build a prototype on our platform: classification, routing, initial automation
  3. We test with your team under realistic conditions
  4. We deploy to production with full monitoring
  5. We refine: models improve, automation rates grow, edge cases get handled

Channels We've Worked With

  • Email / Microsoft Exchange / O365
  • Messenger platforms
  • Ticket systems
  • Web forms and chat
  • Custom integrations via API

What Clients Have Achieved

30-60% faster

Average response times

2x more

Messages handled without adding headcount

25% reduced

Inbound due to faster and more consistent replies

Consistent quality

Every response follows client guidelines

Agent satisfaction

Teams handle relevant cases, not repetitive ones

Full visibility

Dashboards show exactly what's automated and what's not

Contact

Facing a Similar Challenge?

Tell us about your customer service operation: volumes, channels, pain points. We’ll share how we’ve approached similar problems and what might be possible.

Get in Touch