About the project:

A large American multinational telecommunications company was facing a familiar challenge at scale: customer support volume was growing faster than the team could handle it, and the existing help center experience was fragmented, slow, and difficult to navigate. Agents were overwhelmed with first-contact requests that could — and should — be handled automatically. The company needed a smarter, faster, and more scalable solution.

They partnered with AdvanceWorks to design and build an AI assistant capable of owning the initial support interaction end-to-end. But the scope went well beyond a standard chatbot deployment. AdvanceWorks took the opportunity to rethink the entire support journey — consolidating previously siloed tools and workflows into one unified platform, and significantly reducing the number of steps users had to take just to get help. The result was a leaner, smarter help center built for both existing customers and prospective ones.

Goals achieved:

• Automated initial contact: Core AI features handle first-touch support
  without human intervention.
• Reduced friction: Streamlined user journey with fewer steps required to
  get support.
• Unified platform: All support functionalities centralized into one
  cohesive experience
• Better usability: Overall help center efficiency and accessibility
  measurably improved

Results:

By rebuilding the help center around a centralized AI assistant, the telecom company was able to dramatically reduce the load on its human support team. The AI now manages the full scope of initial contact — triaging requests, answering common questions, and routing complex cases — which means agents spend their time on the issues that actually need them.

For end users, the experience is noticeably faster and more intuitive. Fewer steps, less waiting, and a single place to go — whether you are an existing subscriber troubleshooting an issue or a potential customer with a pre-sales question. The platform serves both audiences without compromising the experience for either.

Beyond the immediate UX improvements, the new infrastructure also gives the company a scalable foundation for future AI capabilities — from proactive support notifications to personalized self-service flows — without having to rebuild from scratch.