Cyberorganization: Human Nerves, AI Reflex

Description

Cyborgorganization: Human Nerves, AI Reflex Operating at Scale Without Losing the Human Core At scale, the real friction in AI adoption isn’t velocity—it’s judgment. When execution becomes instantaneous, unvetted assumptions compound faster, context fragments across systems, and the cost of being confidently wrong increases exponentially. This session brings together senior leads from Grab across Product, Data, Design, and Engineering to dive past beginner tooling and high-level hype. Instead, we’ll examine the nuanced trade-offs, architecture decisions, and operational realities of fusing machine efficiency with seasoned human intent in complex, mature environments. Sessions & Perspectives Problem-First, Not AI-First: A Framework for Product LeadersBara Brahmantika, Lead Product Manager, CXAI will generate a viable execution plan for whatever premise it is given. This talk explores the discipline of rigorously stress-testing problem definitions before accelerating solutions down the wrong path. Build the Context: A Data Leader's Case for Keeping Judgment in the LoopAbe Madison, Senior Analytics Manager, Country & MarketingModels excel at pattern recognition within boundaries, but they cannot supply foundational business context. An exploration of why causal reasoning, hypothesis protection, and domain nuance must remain anchored by experienced analysts. Cleaner Hands, Sharper Minds: Using AI for Execution Without Outsourcing IntentSergio Rusli, Principal Product Designer, Design SystemsAccelerating asset generation is simple; preserving design taste and user intent across complex product ecosystems is not. A look at delegating production weight to AI while keeping core creative direction sharp. Agentic Workflows at Scale: Where Humans Stay in the LoopDaniel Mayusa Dewa, Senior Engineering ManagerBeyond simple automation: navigating the architectural tradeoffs, reliability constraints, and critical intervention points required when orchestrating autonomous agents in high-stakes production environments. Designed for experienced practitioners, leads, and domain experts navigating the complexities of scaling AI within existing tech stacks and large teams.