AI perspectives for business leaders.
Research, analysis, and practical guidance on adopting AI effectively in your organization.
Why most AI transformations stall — and how to restart them.
Most organisations adopt AI but remain stuck in "pilot purgatory" — with over 80% of AI projects failing to reach production. We examine the structural and strategic root causes, from weak data foundations to misaligned operating models, and outline how to restart stalled programmes.
Dr. Idha Kristiana
Document intelligence in banking: From weeks to minutes.
Document processing in lending can take 18–24 hours per file. We examine how AI Document Intelligence pipelines — combining automated classification, OCR, and cross-document validation — compress that to under 2 minutes and eliminate manual validation errors at scale.
V-TEKI Research
Is our organisation structurally ready for autonomous decision-making?
Agentic AI systems that plan, act, and decide with minimal human intervention are moving from pilots to production. We outline the governance, technical, and cultural readiness dimensions organisations must address before autonomous decision-making becomes core infrastructure.
Responsible AI governance: A framework for financial services in Southeast Asia.
As regulators across ASEAN tighten AI oversight, we outline a practical five-pillar governance framework for financial institutions navigating compliance.
Building a data culture before you build AI: Lessons from the field.
Around 85% of AI projects fail due to poor data quality, governance, and literacy — not weak algorithms. The organisations that succeed with AI are those that first built robust data foundations.