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GSI joins Industry Leaders at “AI That Delivers” Forum in Makati (ANZCHAM Members Meeting)

Mark Del Moro , GSI Client Services
3 min read  |  26 February 2026

GSI’s IT team, led by Ian Panoncillo, Head of Technology and Modernisation, recently joined industry leaders, technology strategists, and digital transformation experts at the “AI That Delivers” forum held at Shangri-La Makati on February 10, 2026. The forum focused on a critical shift in how organisations approach artificial intelligence — moving beyond experimentation and hype toward initiatives that generate measurable, sustainable business value.

Rather than positioning AI as a standalone innovation trend, the event reinforced that successful AI adoption must be tightly aligned with core enterprise objectives. Discussions highlighted that AI investments should directly support operational efficiency, revenue growth, enhanced customer and employee experience, enterprise risk resilience, and Environmental, Social, and Governance (ESG) priorities. Speakers emphasized that IT is no longer a purely support function but a strategic growth enabler, with AI acting as a force multiplier for business transformation.

Structured Framework for AI Adoption

A strategic model developed by Info-Tech Research Group was presented to guide organisations through a disciplined AI adoption journey. This framework outlines key stages, including identifying high-impact business use cases, selecting the right technology partners, accelerating proofs of concept (PoCs), optimizing operational workflows, redesigning customer experiences, and embedding governance structures.

Panelists noted that many organisations struggle with AI initiatives not because of technology limitations, but due to gaps in governance, change management, and business alignment. Skipping these foundational elements often leads to fragmented implementations that fail to scale or deliver long-term value.

Governance and Risk Readiness

A central theme of the forum was that governance is “mandatory, not optional.” Speakers stressed the importance of establishing clear AI policies and ethical guidelines, implementing human-in-the-loop decision controls, and ensuring compliance with international standards such as ISO frameworks and emerging EU AI regulations. These guardrails are essential not only for regulatory compliance but also for protecting corporate reputation, safeguarding data integrity, and preserving trust among customers and employees.

By integrating governance early in the AI lifecycle, organisations can reduce operational risk while maximizing the return on digital investments.

Real-World Insights

Industry practitioners shared practical lessons from their own AI deployments:

  • AI adoption raises user expectations, creating a culture of immediacy and higher service standards.
  • High-impact “quick wins” include automated document generation, AI-supported recruitment processes, and enterprise virtual assistants.
  • Executive sponsorship and leadership visibility are critical for driving adoption and overcoming resistance to change.
  • Strong data quality and data management practices are non-negotiable foundations for any successful AI initiative.

One panelist captured the challenge clearly: “AI adoption is 50% technology and 50% people leadership,” underscoring that communication, inclusion, and organisational readiness are just as important as infrastructure and algorithms.

Creating impact for GSI and its clients

The active participation of GSI’s IT team in this high-level forum underscores the company’s commitment to staying at the forefront of responsible and value-driven AI innovation. Their engagement reflects GSI’s strategic intent to embed artificial intelligence into its operations in a way that delivers measurable business outcomes while remaining aligned with corporate culture and governance standards.

By continuously investing in knowledge-sharing and industry collaboration, GSI strengthens its ability to harness emerging technologies for operational excellence, workforce empowerment, and long-term competitiveness — ensuring that AI is not merely adopted, but effectively leveraged to support sustainable business growth.