Most organisations buy AI tools before they're ready to use them well. Answer 18 quick questions and see how prepared you really are — across strategy, data, governance, talent, tooling and value — with a maturity score and the gaps worth closing first.
Your overall score (0–100) places you in one of four tiers. They describe a journey, not a verdict — most organisations are mid-way, and the value is in knowing what to fix next.
A transparent, rules-based diagnostic — not a black box. Here's what it measures, how it scores, and the Singapore/APAC sources behind the governance lens.
The six pillars
Each pillar has three questions scored 0–3, giving a pillar score out of 100. The six pillars are equally weighted into an overall score, which maps to a maturity tier. No hidden weights — the lowest-scoring pillars become your prioritised next steps. It's a structured starting point for a conversation, not a substitute for a full assessment of your environment.
Why governance is weighted for regulated firms
For financial institutions, family offices and private-markets firms, readiness isn't just capability — it's whether you can deploy AI defensibly. This assessment treats governance as a first-class pillar, reflecting Singapore's PDPA, MAS expectations on AI risk, and the IMDA Model AI Governance Framework. A high capability score with weak governance is a real risk, not readiness.
Singapore & APAC sources
Singapore's Personal Data Protection Act, including cross-border transfer rules that shape where AI and data can run.
pdpc.gov.sgFEAT principles and MAS guidance on AI risk management set supervisory expectations for financial institutions.
mas.gov.sgThe Model AI Governance Framework (including for generative and agentic AI) gives a practical governance backbone.
imda.gov.sgSingapore's AI-governance testing framework — useful for demonstrating responsible-AI controls.
aiverifyfoundation.sgFrequently asked questions
A structured diagnostic that scores how prepared an organisation is to adopt and scale AI — looking beyond technology to strategy, data, governance, talent and value, and returning a maturity level plus the gaps to close before investing further.
This tool scores six pillars from 0 to 100 — strategy and leadership, data and infrastructure, governance and risk, talent and skills, technology and tooling, and adoption and value — combining them into an overall score and one of four tiers: Exploring, Developing, Scaling or Leading.
Beyond data and tooling, regulated firms need governance aligned with the PDPA, MAS AI risk expectations and the IMDA Model AI Governance Framework — an AI usage policy, data classification, human-in-the-loop oversight and a defensible tool-selection process.
About three to five minutes — 18 multiple-choice questions, with instant results including your tier, a strengths-and-gaps radar, and prioritised next steps.
Yes, and no sign-up is required. The scoring logic is published above so you can see exactly how your result is calculated.
This is an independent self-assessment from 10thirtyLabs. It is not affiliated with, sponsored by, or endorsed by any regulator, standards body, or commercial framework, and references to PDPA, MAS, IMDA, AI Verify, NIST AI RMF or ISO/IEC 42001 are for general guidance only. The questions, scoring, tier names, and recommendations are 10thirtyLabs' own. Results are indicative and do not constitute legal, regulatory, compliance, or security advice, nor any certification of compliance. Seek professional advice for your specific circumstances.