When the Flexi Work Arrangements announcement was made to be put in place coming September 1, different concerns have arisen - what should employees look for when making an application for flexi work arrangements? What should employers look out for? Can businesses adapt to this ‘sudden change’? We discuss this from a legal perspective with Lawyer Henn Xhen Low of Thomas Philip Advocates & Solicitors. 



Image Credit : WD Stock Photos | Shutterstock

When the Flexi Work Arrangements announcement was made to be put in place coming September 1, different concerns have arisen - what should employees look for when making an application for flexi work arrangements? What should employers look out for? Can businesses adapt to this ‘sudden change’? We discuss this from a legal perspective with Lawyer Henn Xhen Low of Thomas Philip Advocates &amp; Solicitors.&nbsp;Image Credit : WD Stock Photos | Shutterstock

Helping you navigate the ever-changing universe of business, from headlines to the bottom line

Helping you navigate the ever-changing universe of business, from headlines to the bottom line

Enterprise Explores

Flexi Work Arrangements Application - What To Look Out For?

Food delivery in Southeast Asia is no longer just about moving meals from Point A to Point B. It has evolved into a $22.7 billion industry where platforms don't just facilitate demand, they orchestrate it.

According to Momentum Works, the sector has bounced back with 18% year-on-year growth, but the rules of the game have fundamentally changed. 

Grab continues to dominate with 55% market share, while Shopee has surged past Foodpanda to claim the #2 spot, but the bigger story is the shift in power. Weihan Chen explains why platforms are transitioning from simple transaction channels to "Operating Environments."

In this new reality, discovery is no longer linear; it is content-led, incentive-driven, and algorithmically curated. For F&B merchants, this creates a potentially harsh "pay-to-play" landscape where data asymmetry favors the platform, not the restaurant.



We discuss:




The Meituan Shadow: How the threat of China’s delivery giants is forcing local players to adopt "batching" and extreme efficiency to survive.


The Leaderboard Shakeup: How the landscape has consolidated, with Shopee leveraging its ecosystem power to overtake Foodpanda.


Demand Orchestration: Why platforms are moving beyond logistics to actively influence what you eat through "content-led discovery" and data asymmetry.


The "Pay-to-Play" Era: Why organic reach is dying for F&B merchants, and why menus must now be designed specifically for platform algorithms.


The Death of Dark Kitchens: Why the "Real Estate Arbitrage" model failed in Southeast Asia due to a lack of demand density.


Unit Economics 2.0: How platforms are staying profitable despite falling Average Order Values (AOV) by driving up frequency and optimizing delivery batches.

Food delivery in Southeast Asia is no longer just about moving meals from Point A to Point B. It has evolved into a $22.7 billion industry where platforms don't just facilitate demand, they orchestrate it.According to Momentum Works, the sector has bounced back with 18% year-on-year growth, but the rules of the game have fundamentally changed.&nbsp;Grab continues to dominate with 55% market share, while Shopee has surged past Foodpanda to claim the #2 spot, but the bigger story is the shift in power. Weihan Chen explains why platforms are transitioning from simple transaction channels to "Operating Environments."In this new reality, discovery is no longer linear; it is content-led, incentive-driven, and algorithmically curated. For F&amp;B merchants, this creates a potentially harsh "pay-to-play" landscape where data asymmetry favors the platform, not the restaurant.We discuss:<ul><li>The Meituan Shadow: How the threat of China’s delivery giants is forcing local players to adopt "batching" and extreme efficiency to survive.</li><li>The Leaderboard Shakeup: How the landscape has consolidated, with Shopee leveraging its ecosystem power to overtake Foodpanda.</li><li>Demand Orchestration: Why platforms are moving beyond logistics to actively influence what you eat through "content-led discovery" and data asymmetry.</li><li>The "Pay-to-Play" Era: Why organic reach is dying for F&amp;B merchants, and why menus must now be designed specifically for platform algorithms.</li><li>The Death of Dark Kitchens: Why the "Real Estate Arbitrage" model failed in Southeast Asia due to a lack of demand density.</li><li>Unit Economics 2.0: How platforms are staying profitable despite falling Average Order Values (AOV) by driving up frequency and optimizing delivery batches.</li></ul>

Meituan’s Shadow: How China’s Delivery Wars Changed ASEAN

For the last two years, corporate AI strategy has largely revolved around "Assistants", chatbots that wait for a human prompt, but could that phase be already coming to an end?



Nicholas Eayrs of Databricks argues we are now entering the era of the Agentic Enterprise.



In this new paradigm, AI stops waiting for instructions and starts interacting with other systems autonomously. Imagine a "Procurement Agent" negotiating with a "Finance Agent" to optimise supply chains in real-time, without human intervention.



We explore how this shift from "chatting" to "doing" is already happening, and much more, including: 




The Death of the Prompt: Why the future isn't about better prompt engineering, but about architecting autonomous flows where humans act as supervisors, not operators.


The "Multi-Agent" Swarm: How specialised, smaller models (rather than one giant LLM) will collaborate to handle complex tasks like finance and logistics.


Bridging the Data Gap: The role of the Model Context Protocol (MCP) in allowing AI agents to "talk" to legacy systems of record (like CRMs and ERPs).


Solving "Black Box" Anxiety: Why a bad chatbot answer is annoying, but a bad agentic decision is expensive, and how Evaluation Frameworks and strict data lineage provide the necessary governance.


The Human in the Loop: Why the modern workforce must pivot from "users" of software to "Systems Architects" who define the constraints and outcomes for autonomous agents.

For the last two years, corporate AI strategy has largely revolved around "Assistants", chatbots that wait for a human prompt, but could that phase be already coming to an end?Nicholas Eayrs of Databricks argues we are now entering the era of the Agentic Enterprise.In this new paradigm, AI stops waiting for instructions and starts interacting with other systems autonomously. Imagine a "Procurement Agent" negotiating with a "Finance Agent" to optimise supply chains in real-time, without human intervention.We explore how this shift from "chatting" to "doing" is already happening, and much more, including:&nbsp;<ul><li>The Death of the Prompt: Why the future isn't about better prompt engineering, but about architecting autonomous flows where humans act as supervisors, not operators.</li><li>The "Multi-Agent" Swarm: How specialised, smaller models (rather than one giant LLM) will collaborate to handle complex tasks like finance and logistics.</li><li>Bridging the Data Gap: The role of the Model Context Protocol (MCP) in allowing AI agents to "talk" to legacy systems of record (like CRMs and ERPs).</li><li>Solving "Black Box" Anxiety: Why a bad chatbot answer is annoying, but a bad agentic decision is expensive, and how Evaluation Frameworks and strict data lineage provide the necessary governance.</li><li>The Human in the Loop: Why the modern workforce must pivot from "users" of software to "Systems Architects" who define the constraints and outcomes for autonomous agents.</li></ul>

From Chatbots to Do-Bots: Rise of the Agentic Enterprise

When business leaders talk about the talent crunch, the focus is usually on skills, communication, and job readiness. But Malaysia’s newly launched National Education Plan 2026–2035 introduces a more fundamental shift: time.

With education pathways accelerating, students may enter university younger and reach the workforce sooner. While this may look efficient on paper, it raises a harder question for employers. Are we mistaking learning speed for workforce readiness?

We speak with Professor Hazel Melanie Ramos, Vice Provost for Teaching and Learning at University of Nottingham Malaysia, to examine what accelerated education timelines really mean for universities, businesses, and Malaysia’s future workforce.



We discuss:




How the National Education Plan 2026–2035 reshapes the talent pipeline through faster education pathways.


What earlier university entry means for student maturity, resilience, and readiness for work.


Whether universities can deliver deeper learning in shorter timeframes.


The risks employers may face if graduates arrive sooner but less prepared.


What shared responsibility between universities and businesses is needed for workforce development.

When business leaders talk about the talent crunch, the focus is usually on skills, communication, and job readiness. But Malaysia’s newly launched National Education Plan 2026–2035 introduces a more fundamental shift: time.With education pathways accelerating, students may enter university younger and reach the workforce sooner. While this may look efficient on paper, it raises a harder question for employers. Are we mistaking learning speed for workforce readiness?We speak with Professor Hazel Melanie Ramos, Vice Provost for Teaching and Learning at University of Nottingham Malaysia, to examine what accelerated education timelines really mean for universities, businesses, and Malaysia’s future workforce.We discuss:<ul><li>How the National Education Plan 2026–2035 reshapes the talent pipeline through faster education pathways.</li><li>What earlier university entry means for student maturity, resilience, and readiness for work.</li><li>Whether universities can deliver deeper learning in shorter timeframes.</li><li>The risks employers may face if graduates arrive sooner but less prepared.</li><li>What shared responsibility between universities and businesses is needed for workforce development.</li></ul>

Flexi Work Arrangements Application - What To Look Out For?

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