AI has crossed from assisting people to acting for them. Accountability, a cornerstone of AI governance, has not kept pace. Most organizations in APAC can explain what their AI does. Far fewer can show how a decision was reached, and only a minority keep tamper-proof records. We call this gap the Accountability Asymmetry: high ownership of AI decisions, low ability to prove them.
Sumsub, in collaboration with the Singapore FinTech Association, surveyed 720 professionals across APAC in risk, compliance, technology, and operations roles. This report is about building verifiable governance chains, where every action can be traced back to a verified human identity.
- 95% of organizations say they can explain what their AI does
- 1 in 3 keep tamper-proof records of those decisions
- 99% would adopt a way to prove every AI action
Whoever builds the AI governance proof layer first sets the standard
The opportunity is to make autonomy provable, with every AI action tied back to a responsible, verified human identity. Demand is already there, and nearly every organization we surveyed would adopt a way to do exactly that. The standard for provable AI is still being written, and the first movers get to write it.
