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Singapore’s Agentic AI Adoption Is Outrunning Its Audit Trails
In a survey of Singapore businesses, 94% were using or testing agentic AI, but just 29% could produce decision audit trails.
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- In a survey of Singapore businesses, 94% were using or testing agentic AI, but just 29% could produce decision audit trails.
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openai.comCreate a landscape editorial hero image for this Studio Global article: What does the Sumsub and Singapore FinTech Association study, conducted by Blackbox Research between April and June 2026 among 720 AI decisi. Article summary: The study’s central finding is that surveyed Singapore businesses’ agentic AI adoption is ahead of their ability to explain and evidence its decisions: 94% were using or testing these systems, but only 29% could produce . Topic tags: general, general web, user generated. Style: premium digital editorial illustration, source-backed research mood, clean composition, high detail, modern web publication hero. Use reference image context only for broad subject, composition, and topical grounding; do not copy the exact image. Avoid: logos, brand marks, copyrighted characters, real person likenesses, fake screenshots, UI text, readable text, watermarks, charts with fa
Singapore businesses in a regional survey reported widespread use or testing of agentic AI, but far fewer said they could show how those systems reached decisions. The contrast—94% using or testing the systems versus 29% able to produce decision audit trails—highlights a gap between adopting AI and being able to account for its actions.3
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The findings come from research commissioned by Sumsub with the Singapore FinTech Association and conducted by Blackbox Research between April and June 2026. It surveyed 720 AI decision-makers across nine APAC markets and several sectors.3
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Adoption is not the same as auditability
The 94% figure includes businesses using or piloting multi-step AI systems; it does not mean that all respondents had fully autonomous systems operating in production. The more specific governance concern is traceability: only 29% said they could produce an audit trail for AI-driven decisions.3
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Without records that show what a system did and how a decision was reached, businesses may find it harder to explain outcomes to regulators, shareholders or customers. That creates potential compliance, operational and reputational exposure; the survey does not establish that respondents had experienced violations or harm.1
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Responsibility is assigned more often than evidence is produced
About 70% of Singapore respondents reported guidelines assigning responsibility for AI outcomes. In the survey breakdown, 40% assigned responsibility to an individual and 30% to a team. Yet the much lower audit-trail figure suggests that naming an accountable person or group does not, by itself, provide evidence of an AI system’s actions.2
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Respondents were broadly willing to automate routine tasks—roughly 90% expressed that willingness—but more cautious about decisions involving financial liabilities. Only 16% said their organisation had significantly expanded AI’s scope or autonomy over the previous year, the lowest share among the nine surveyed markets.3
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Singapore’s benchmark score needs context
Singapore scored 65.6 on the study’s AI governance benchmark, below the APAC average of 67.1.5
17 Sumsub attributed the lower score in part to Singapore’s more advanced regulatory framework and the stricter standards businesses may use to assess readiness. That is the report’s interpretation, not proof that the lower score means governance is stronger.
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The survey also reported AI’s greatest impact in data tasks (29%), operations and workflow processing (21%), and fraud detection, anti-money laundering and risk monitoring (15%). Respondents identified technical complexity (66%), platform integration (50%) and tracking the actions of external AI tools (49%) as leading adoption barriers.3
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What the findings do—and don’t—show
Singapore FinTech Association president Holly Fang called for stronger traceability, accountability and governance as AI takes on critical workflows. The study also found that 98% of Singapore respondents were ready to adopt third-party verification connecting autonomous AI actions to verified identities. That indicates stated willingness, not that those controls are already in place.3
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These results describe survey respondents, not necessarily every business in Singapore. The published findings do not disclose the size of the Singapore subsample, so the percentages should not be treated as representative of all Singapore businesses.8
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In a survey of Singapore businesses, 94% were using or testing agentic AI, but just 29% could produce decision audit trails.