Tech • IA • Crypto
How Globe Telecom democratizes AI for every employee with Google Workspace and Gemini
TL;DR
Globe Telecom reports major productivity gains and broader innovation after deploying Gemini AI, enabling faster development and non-technical teams to build applications.
KEY POINTS
Shift from bottlenecks to distributed innovation
Globe Telecom says internal innovation was previously constrained by reliance on central engineering teams, creating backlogs. With Gemini, multiple departments can now build AI-driven tools independently, removing traditional development bottlenecks and accelerating delivery across the organization.
Non-technical teams building AI apps
Business units without coding expertise are creating their own solutions. A marketing team, for example, developed an internal bot to manage partner-driven revenue opportunities without writing traditional code, signaling a shift toward broader participation in product development.
Engineers refocused on higher-value work
Routine coding tasks are increasingly automated, allowing engineers to concentrate on system architecture and strategic initiatives. This redistribution of effort is described as a fundamental change in the company’s skills matrix.
Significant productivity gains
Developers using Gemini as a coding partner report an 80% faster bug resolution time and a 75% reduction in API development time on selected projects. These gains translate into shorter development cycles and quicker feature releases.
Dramatic reductions in refactoring time
In one internal system, code cleanup and refactoring time dropped from three days to just four minutes, highlighting the scale of efficiency improvements in developer workflows.
Enterprise-wide adoption and scaling
Usage of AI tools has expanded across teams, leading to measurable time savings and faster task completion. The company links this adoption directly to improved operational throughput.
Customer experience improvements
Faster internal processes—such as quicker issue resolution and accelerated feature deployment—are enabling more responsive and personalized services. AI agents are being embedded into operations to streamline the value chain and enhance service delivery.
CONCLUSION
The integration of Gemini AI is reshaping Globe Telecom’s development model, driving efficiency, democratizing innovation, and enabling faster, more personalized customer services.
Full transcript
Globe Telecom is one of the leading telecommunications companies in the Philippines. We connect millions of Filipinos and are deeply embedded in the nation's digital transformation. Before Gemini, any internal innovation required development by a core development or tech team. This created massive backlog. The situation now with Gemini is entirely different. Gemini has fundamentally changed our skills matrix. It's not just about speed. It's about shifting the focus of our talent, and different teams were able to build their own AI apps, without them ever writing a line of traditional code. Our engineers are now freed from repetitive coding tasks and can focus on strategic architecture. We’re seeing tangible value across two key areas. First is in productivity. Our developers are using Gemini as a coding partner, resulting in an 80% faster bug resolution time and a 75% reduction in API development time on certain projects. Take one of the projects from our marketing team. They're non-technical users who built an internal bot to manage partner-driven revenue opportunities. Second is in terms of adoption and scale. The usage translates directly into saved hours and accelerated task completion across the organization. The impact on our end customer is through the massive acceleration of our internal operations, which directly translates to an unrivaled customer experience, such as we are embedding AI agents directly into our operations to accelerate our value chain. By making our internal systems and people dramatically more efficient to reduce the time it takes to fix technical issues, deploy service enhancements, and roll out new customer-facing features. This internal acceleration is the foundation for an effortless and personalized experience for the end customer. This level of service was simply not possible before. One perfect example is one of our internal systems, which is called easy w t word code. Cleanup time or refactoring time was reduced from three days down to just four minutes. That's an incredible saving in developer cycle time.