Skip to main content

Golf Equipment

Turns a Chatbot into an Enterprise AI Platform Across 5 Regions

5

Global Regions Live

Thousands

Monthly Interactions

6 Months

From Pilot to Platform

Golf Equipment

Company Profile

  • Pioneer of the modern metalwood driver
  • One of the world's top golf equipment brands
  • Clubs played by the world's top golfers

The Challenge

💡

The Solution

Unify service across fragmented systems, tools, and documents
Conversational AI platform giving agents a single pane of glass
Give agents one place to find accurate answers mid-call
Brand-trained model answering order, product, and internal queries
Build a scalable AI foundation reaching every business function
Azure-based architecture integrating Salesforce, Oracle, core systems
Extend the platform across regions and enterprise applications
Extensible foundation built for global, multi-function deployment

The Full Context

A leading global golf equipment brand set out to unify and streamline its customer service operations. Agents worked across a fragmented digital environment—ERP and CRM systems, product specification documents, spreadsheets, brochures, and R&D files—often juggling several tools and screens during a single customer call. The manual, multi-system workflow was time-consuming and produced inconsistent service.

Partnering with AuxoAI, the brand built an enterprise-grade conversational AI platform, internally named CHIP. What began as a targeted customer service chatbot was designed from day one to scale—across geographies and into Sales, R&D, Operations, HR, IT, and Finance—serving as the foundation of a broader enterprise AI roadmap.

The Approach

A targeted customer service chatbot was built to be an enterprise foundation from the start—scalable, extensible, and ready for global deployment.

1

A Single Pane of Glass

Replaced the screen-hopping that slowed every call. Trained on brand-specific data, the interface delivers accurate, context-rich answers about orders, products, and internal processes—all in one place.

2

Enterprise-Grade Architecture

Leverages multiple AI services across the Microsoft Azure ecosystem and integrates with core applications including Salesforce and Oracle—engineered to be scalable and extensible across regions and functions.

3

Designed for Adoption

Internal roadshows, all-hands demos, and co-design with business users aligned IT and business stakeholders early—making it a shared platform, not just an IT project.

The Impact

Within six months of launch, the AI platform reached employees across five global regions and now handles thousands of interactions every month.

The platform eliminated the constant screen-hopping that slowed customer service. Instead of opening multiple systems mid-call, agents now use one conversational interface to get accurate, context-rich answers about orders, products, and internal processes.

What started as a customer service chatbot is now the backbone of the brand's AI capabilities. The platform is scaling beyond customer support into Sales, R&D, Operations, HR, and Finance, with a roadmap toward agentic automation, image recognition, and self-service for wholesale customers.

Project Highlights

Solution

Conversational AI platform

Single pane of glass

Azure, Salesforce, Oracle integration

Results

Live across five global regions
Thousands of monthly interactions
Enterprise foundation in six months
Roadmap to agentic automation

Ready to Build Your Enterprise AI Platform?