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On July 1st, senior executives from CP Group joined global AI leaders from Amity Solutions, AWS, Google, OpenAI, and BCG for an exclusive discussion on one of the biggest questions facing enterprises today: How do you scale AI beyond the pilot stage?
Hosted as AI Leaders Circle: Bangkok Edition for CP Group, the executive roundtable created a space for candid conversations around enterprise AI adoption, organizational transformation, and what it really takes to turn AI into measurable business value.
AI Leaders Circle: Bangkok Edition, an executive breakfast hosted for CP Group, brought together:
The discussion was attended by senior executives from businesses across the CP Group ecosystem, bringing together decision-makers from one of Thailand's largest conglomerates with leaders from the world's leading AI companies.
Rather than a traditional conference presentation, the session was designed as an executive roundtable where both speakers and participants openly exchanged experiences, challenges, and practical strategies for scaling AI across large organizations.
Benjamin Fingerle from BCG, opened the morning with a simple observation: while nearly every enterprise has started its AI journey, only a few have successfully scaled it into real business value. For today's CEOs, AI is no longer just another technology initiative—it's becoming one of the defining leadership challenges of this era.
Drawing on BCG's research, Benjamin explained that successful organizations don't simply add AI to existing workflows—they redesign how work gets done. The biggest differentiator isn't the technology itself, but leadership commitment, investment in people and processes, and a willingness to rethink traditional ways of working.
Looking ahead, he highlighted the rise of Agentic AI and urged leaders to think beyond incremental investments. Scaling AI, he concluded, requires bold decisions, strong governance, and long-term commitment—not just better models or new tools.
The panel discussion brought together leaders from Amity Solutions, AWS, Google, OpenAI, and BCG to answer one central question: What does it really take to scale AI across an enterprise?
One theme quickly emerged—AI is evolving from a tool that responds to prompts into a teammate that can plan, reason, and execute work.
Rafael Scislowski from Google described this shift as the move toward agentic workflows, where multiple AI agents collaborate to solve complex tasks. Instead of simply searching or summarizing information, they can synthesize knowledge from text, documents, emails, and other sources to complete work in seconds.
"We're starting to see tasks that used to take three or four hours with two people reduced to 30 seconds."
For Jon Sugihara from OpenAI, the biggest opportunity isn't just writing code faster—it's improving how work begins. Better planning allows AI to build and execute more autonomously.
"If you drive better planning up front, it can do a lot more zero-shot autonomous building on its own."
Nattapon Kraisingkorn from Amity Solutions shifted the discussion from technology to business outcomes. He explained that AI delivers real value only when organizations redesign workflows instead of simply automating existing ones. For example, AI-powered contact centers can reduce the cost per service by up to 80% while maintaining customer satisfaction—but only when leaders build a workforce where humans and AI work together.
The panel also challenged one of the biggest misconceptions around AI adoption: waiting for perfect data. Rather than delaying projects, organizations should start now and let AI help improve data quality over time.
Jon encouraged companies not to give up if their first AI initiative failed.
"Try it again. The technology moves so fast that if something failed yesterday, it might actually work today."
Michael Armentano from AWS reinforced that AI should be viewed as an enabler, not a replacement.
"AI is not meant to replace humans, but humans with AI will replace humans without AI."
Looking ahead, the speakers envisioned AI becoming deeply embedded in everyday work. Instead of acting like another application, future AI agents will understand context, remember previous interactions, and proactively complete administrative tasks before employees even ask.
As Raphael put it, the ideal future is simple:
"I'd like to never have to do those life admin tasks again. Just give me a summary of the five things you've already handled."
The consensus around the table was clear: the next generation of enterprise AI won't just answer questions—it will become a trusted teammate that understands the business, anticipates needs, and helps people focus on higher-value work.
To close the morning, Nattapon Kraisingkorn from Amity Solutions showcased Mity, an AI companion designed to help employees work more efficiently by bringing AI directly into their everyday workflows.
The demonstration reinforced the day's central message: the future of enterprise AI isn't about adding another tool—it's about embedding AI into everyday work so employees can access knowledge faster, make better decisions, and focus on higher-value tasks.
By the time Executive Roundtable wrapped, one thing was clear: nobody on that stage was selling a silver bullet. AWS, Google, OpenAI, BCG, and Amity Solutions came at the same question from five different angles — technology, data, process, people — and landed on the same conclusion. The tools are ready. What's still catching up is everything around them: the workflows built to use them, the leaders willing to own them, and the teams trained to work alongside them rather than around them.
That's really what "AI Leaders Circle" is about — not another showcase of what AI can do in a demo, but a room where the people actually responsible for making it work can compare notes honestly. For CP Group's leaders at the table, the takeaway wasn't a single answer. It was a sharper set of questions to bring back to their own teams: Where is our data actually ready? Who owns this once the pilot ends? And are we building AI into how people already work, or asking people to work around AI?
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