CS/22CASE STUDY

Level 0 Support
for an Automotive Leader

A leading automotive company built a Level 0 self-service support application to alleviate an overwhelmed Level 1 support team. Deployed across the U.S., France, Germany, Austria, and the U.K., the platform reduced support ticket volume, cut wait times, and lowered operational costs — with an AI chatbot integration on the horizon.

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At a Glance
Capabilities
Comprehensive Self-Service Knowledge Base
AI-Ready Architecture
24/7 Customer Availability
Multilingual Scalability
Technologies
Vue.jsAstroJavaAWS
Delivery Model
Cross-functional team · Frontend (Vue.js + Astro) + Backend (Java) + Cloud (AWS)
[01]Business Context

A leading automotive company held back by an overwhelmed support team

A leading company in the automotive sector was experiencing severe operational inefficiencies driven by a surge in customer inquiries. Their Level 1 support team was completely overwhelmed, which resulted in long wait times and growing customer dissatisfaction. To resolve this, the organization needed a scalable, self-service solution that would allow customers to find essential information instantly without needing to rely on a live support agent. The strategic answer was the development of a Level 0 support application acting as an intelligent self-service platform.

Key Context
Severe operational inefficiencies from a surge in customer inquiries
Level 1 support team completely overwhelmed with repetitive queries
Long wait times and growing customer dissatisfaction
Need for scalable, multilingual self-service to support global expansion
[02]Client Needs

What prompted the project

The automotive client required a robust and highly scalable Level 0 support system capable of handling massive inquiry volumes — while empowering users to self-serve.

N/01

Empower Self-Service

Empower users to autonomously access accurate, relevant, and structured information without waiting for direct human assistance.

N/02

Handle Massive Inquiry Volumes

A robust and highly scalable system capable of efficiently handling massive volumes of customer inquiries.

N/03

Seamless Workflow Integration

The new application needed to integrate smoothly into existing customer support workflows while being prepared for future AI-driven enhancements.

[03]The Challenges

Why an expert partner was required

The project faced several operational and technical hurdles — particularly around volume, localization, and integration.

Pre-Project ChallengeOverwhelmed Support Teams
No Self-Service Layer
Before the new system, the lack of a structured self-service platform meant all inquiries, regardless of complexity, required live support.
Burying Level 1 in Repetitive Queries
Level 1 agents were spending their days on the same questions over and over.
Impact
Long wait times for simple questions, real issues buried in queue.
Pre-Project ChallengeLocalization Bottlenecks
External Translation Dependency
The company faced major challenges with market expansion, as translating content for new regions relied heavily on external teams.
Significant Rollout Delays
Each new market launch was bottlenecked by translation cycles.
Impact
Global expansion was artificially slow.
Pre-Project ChallengeSeamless Integration with Future AI
No Future-Proofing
The new application needed to integrate smoothly into existing customer support workflows while being prepared for future AI-driven enhancements.
Risk of Rebuilding Later
A static-only architecture would force a rebuild when AI was added.
Impact
Strategic value depends on being able to extend the platform, not replace it.
Pre-Project ChallengeMultilingual Scalability
Rapid Global Expansion Required
The platform required inherent multilingual capabilities to support rapid global expansion without excessive delays.
Translation Process Mismatch
Translation workflows had to fit inside the deployment pipeline, not block it.
Impact
A platform that couldn't speak the customer's language was as good as no platform.
[04]Solutions Provided

What We As Web delivered

We As Web developed and implemented a Level 0 support application that functions as a highly dynamic knowledge base — designed for global scale and future AI.

S/01

Comprehensive Information Access

An extensive database of articles, guides, and troubleshooting steps for instant self-service answers.

Customers can easily retrieve answers to common issues through an extensive database.
Filled with articles, guides, and troubleshooting steps — the same content that was previously tying up Level 1 agents.
S/02

AI-Ready Architecture

Currently built on static data, but architected to seamlessly integrate AI-driven responses in the near future.

While currently built on static data, the system is architected to seamlessly integrate AI-driven responses in the near future.
A chatbot integration is already on the roadmap — no rebuild required.
S/03

24/7 Availability

The self-service platform allows customers to access support at any time — no wait for business hours.

The self-service platform allows customers to access support at any time.
Dramatically reduces the dependency on Level 1 employees and minimizes operational downtime.
S/04

Global Market Scalability

Purposefully designed for seamless adaptation to multiple languages and regions — currently live in 5 markets.

The solution was purposefully designed for seamless adaptation to multiple languages and regions.
Ensuring consistent support across different geographies — currently deployed in the U.S., France, Germany, Austria, and the U.K., with plans for further global expansion.
[05]Results Achieved

Lower support volume, faster resolutions, lower costs

The deployment of the Level 0 application successfully transformed the client's customer support operations.

R/01
Significant reduction in Level 1 ticket volume

The application saw significant user adoption, leading to a highly noticeable reduction in direct requests to the Level 1 support team.

R/02
Instant answers, no wait times

Customers now receive instant answers to their questions, which drastically reduces wait times and boosts overall satisfaction.

R/03
Optimized support operational costs

By minimizing the need for direct human intervention on repetitive queries, the company successfully optimized its operational support costs.

R/04
AI chatbot integration on the horizon

With an AI chatbot integration already on the horizon, the solution is built to continuously evolve — long-term adaptability and efficiency.

[06]Technology & Team

Multilingual self-service, built to scale globally

A modern web stack — Vue.js and Astro for the frontend, Java for the backend, AWS for cloud — chosen for global scalability and AI-readiness.

Technology Stack
Vue.jsAstroJavaAWSKnowledge Base InfrastructureAI-Ready API LayerMultilingual Content Pipeline
Team Composition
Frontend Developers (Vue.js + Astro)Backend Architects (Java)Cloud Engineers (AWS)
[07]Conclusion

When Level 1 support is the bottleneck, the answer is Level 0

A leading automotive company with an overwhelmed Level 1 support team cannot scale customer service by adding more agents. By building a Level 0 self-service platform with an extensive knowledge base, 24/7 availability, AI-ready architecture, and inherent multilingual scalability, we gave this client a support experience that grows with the business — not one that requires adding headcount for every new market.

The result is significant reduction in Level 1 ticket volume, instant customer answers, optimized support costs, and an AI chatbot integration already on the roadmap. For any automotive or enterprise support function drowning in repetitive inquiries, this is what an AI-ready, multilingual self-service platform looks like in production.