As artificial intelligence moves beyond experimentation and into enterprise-wide deployment, organizations face a new challenge: scaling AI responsibly without compromising trust, security, and governance. For Globe, that means building an AI-powered enterprise through a foundation-first approach, collaborative governance, and modern engineering practices.
At DTW Ignite 2026, Anton Bonifacio, Globe's Chief Intelligence and Trust Officer, joined Guy Lupo, Executive Vice President for AI and Data Innovation at TM Forum, for a fireside discussion on how organizations can adopt increasingly autonomous AI systems while maintaining resilience, interoperability, and enterprise trust. As enterprises transition from AI assistants to autonomous AI agents, the conversation is no longer just about deploying AI but about governing it safely and consistently across increasingly complex technology environments.
Drawing from Globe's AI transformation journey, Bonifacio shared how the company is scaling AI across the enterprise through its AI Kitchen framework and Agent Factory. Built on a platform-driven approach, security-by-design, and trusted governance, these initiatives enable business and technology teams to innovate under common governance frameworks while delivering measurable business value.
"With how fast AI is moving, we emphasized the need for a platform-driven approach, strong federation to drive impactful adoption and value, shift-left controls with forward-deployed teams for dynamic governance and assurance, and deliberate re-factoring to leverage open standards, frameworks, and architectures to ensure reliable observability and interoperability across the entire stack," Bonifacio said.
Bonifacio also underscored the importance of embedding governance and security early in the AI lifecycle through shift-left controls, forward-deployed teams, and deliberate refactoring around open standards and architectures. This approach promotes observability, interoperability, and resilience while enabling organizations to adapt as AI capabilities continue to evolve.
Globe's contribution extends beyond the conference through its participation in collaborative innovation initiatives. This year, the company is championing four DTW Catalyst Projects, including three led by its AI Group, demonstrating its active role in advancing practical and trusted AI solutions for the telecommunications industry.
Among these are InsightX Agent: From Question to Insights in Seconds and MODaaS: Accelerating Agent Velocity, both Moonshot Catalyst finalists under the Trustworthy Data & AI Challenge. Globe is also contributing to the AI Decision Accelerator, which validates AI-driven decision workflows in telecom production systems, and the Essential Framework for Telecom Agentic AI, which provides a blueprint for rapid AI agent development and lifecycle management to help communications service providers move confidently from experimentation to large-scale deployment.
Through these efforts, Globe continues to demonstrate how responsible AI can accelerate innovation while maintaining security, interoperability, and long-term resilience. By combining a platform-driven approach, collaborative governance, and open architectures, the company is building meaningful intelligence and continuous trust at scale.
Public Company Information:
PSE: GLO
