Case Study

Witlingo - Web Test Automation

Empowering a complex carbon-management platform with scalable
testing to ensure accuracy, reliability, and seamless performance.

Overview

Witlingo is a voice-experience platform that allows brands to create interactive voice applications for smart speakers and conversational interfaces.

We built tools that enable organizations to design, deploy, and manage voice-based customer engagement experiences across multiple devices.

Challenges

Brands lacked tools to easily create voice applications.

Voice engagement required specialized development knowledge.

Managing conversational flows across devices was complex.

Analytics for voice interactions were limited.

What We Did

To address these challenges, Mechlin Technologies designed and implemented an AI-driven agentic layer on top of the GhostQA platform. The goal was to move beyond traditional no-code automation by introducing a conversational, intelligent assistant that could understand user intent, orchestrate complex testing workflows, and proactively guide users through execution and analysis. By combining natural language interaction, workflow automation, and human-in-the-loop safeguards, we transformed GhostQA into a more intuitive, scalable, and assistant-led QA experience.

Voice App Builder: Created an interface for designing conversational experiences.

Multi-Device Support: Enabled deployment to smart speakers and voice assistants.

Conversation Flow Management: Built visual workflow tools for dialogue creation.

Analytics Tracking: Provided engagement metrics and interaction reports.

Content Management: Allowed easy updates to voice responses and scripts.

Tech Stack

To support this agent-driven architecture, Mechlin Technologies carefully selected a modern, scalable technology stack capable of handling real-time interactions, workflow orchestration, and seamless platform integration. The stack was designed to ensure reliability, extensibility, and smooth communication between the AI layer, automation engines, and the GhostQA user interface—while remaining flexible enough to evolve with future testing and AI capabilities.

Voice Integration: Alexa and conversational APIs.

Backend: Node.js for conversation handling.

Frontend: React.js management dashboard.

Database: MongoDB interaction data storage.

Cloud Hosting: Scalable cloud infrastructure.

Highlights

The introduction of the AI agent significantly changed how users interacted with GhostQA on a day-to-day basis. Instead of navigating complex configurations and fragmented workflows, teams gained an intelligent, conversational layer that simplified decision-making, reduced friction, and accelerated test execution. These improvements translated into measurable gains in usability, efficiency, and overall QA confidence across teams.

Voice-First Engagement: Brands communicate through conversational interfaces.

Easy Deployment: No deep voice development expertise required.

Content Control: Update voice experiences quickly.

Insightful Analytics: Measure user engagement.

Impact

Voice application development became accessible without complex technical implementation.

Customer engagement improved through interactive conversational experiences.

Deployment processes became guided and simplified for businesses.

Organizations now receive detailed analytics about voice interaction performance.

Result: Witlingo enabled brands to quickly adopt voice technology and create engaging conversational experiences across smart devices.

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