People Use AI
Customer Support

Multilingual support knowledge retrieval and answering

Let agents query in their local language and retrieve precise global knowledge across languages, improving consistency and speed for distributed support teams.

Why the human is still essential here

Agents remain responsible for ensuring translations are accurate for the customer’s context and for resolving nuanced cases where language and intent require human interpretation.

How people use this

Real-time ticket translation for agents

Automatically translate inbound customer messages into the agent’s language and draft an outbound reply back in the customer’s language while preserving terminology and tone.

Unbabel / Zendesk

Cross-lingual knowledge base search

Allow agents to search the KB in any language and retrieve semantically relevant articles written in other languages, returning translated snippets for quick use.

Elastic Search AI Platform / Microsoft Azure AI Translator

Multilingual AI agent for self-serve deflection

Deploy a chatbot that answers common questions in multiple languages by grounding responses in approved help center content and escalating with full context when needed.

Intercom Fin AI Agent / Intercom Help Center

Related Prompts (1)

Community stories (1)

LinkedIn

Why the "Support Engineer" is becoming the "Knowledge Architect"

Why the "Support Engineer" is becoming the "Knowledge Architect"

I often talk to my team about the "Skills Inversion" happening in technical support. As AI makes technical data a commodity, our human skills—empathy, judgment, and creativity—become the new premium.
But how does that look in the real world?

This latest story from a Global Automotive Manufacturer is a masterclass in evolving the Support function. They aren't just using AI to "close tickets faster"; they are using it to solve the "Knowledge Paradox."

The Problem: Hundreds of agents across 27 languages, buried under disconnected CMS platforms and manuals. The Evolution: By implementing Elastic’s hybrid search and generative AI, they’ve removed the "Admin Tax" from their engineers.

The Results are exactly what we are aiming for at Elastic:
✅ Single-Step Resolution: No more "ping-ponging" between tools or colleagues.
✅ Multilingual Parity: Engineers can query in their local language and get precise, global insights.
✅ The Shift to Value: By automating the "search," agents are now free to focus on Proactive Driver Care—moving from fixing a car to architecting a premium customer experience.

In 2026, the best support teams won't be measured by how many logs they parse, but by how much value they unlock for the customer.

Check out the full story here: https://lnkd.in/eHG-wM-h

JB
Julie Baxter-RuddVP, Global Customer Support
Mar 5, 2026