

From Headcount to Agent Count: Building the AI-Native Company
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Nov 11th Wednesday ยท ๐ 6:00 โ 7:30 PM
๐ Ocean Financial Centre, #39-06/10, 10 Collyer Quay
โAlmost every company is experimenting with AI. Very few have changed how the company actually runs. Most get stuck at the same point: plenty of pilots and chatbots, but the cost base, the headcount and the speed of decisions stay the same.
โAt Maxify AI, we deploy AI agents that take over real operating work in finance, HR, procurement, operations and customer service. In this workshop for fellow Tsinghua BRI EMBA classmates, we share what weโve seen across those engagements: what separates companies that transform from companies that only experiment.
โWeโll cover:
โWhy most AI programmes stall: the recurring patterns behind pilots that never scale, and why the cause is usually organizational, not technical
โWhere to start: how to find the first function where AI pays back fastest, and why it is rarely the one leadership expects
โAgents as workforce: how leading companies measure, manage and hold AI agents accountable the way they do employees
โGovernance and trust: where AI should decide, where people must decide, and how to protect money, legal and personnel decisions
โThe people side: how roles, incentives and team structures change, and how to bring managers along instead of working around them
โSpeaker
Mao Ting (BRI6), Founder & CEO of Maxify AI and Sunnystep. Maxify AI builds AI operating systems for established companies. Today, Sunnystep runs 13 business functions with a 10-person corporate team, less than one-third of its size a year ago, supported by 22 AI agent managers. Net profit margin rose 14.6 percentage points year-on-year.
โBrought to you by TAAPS for Tsinghua PBCSF EMBA alumni and friends.