Insights
Guides from the Council
The Council's own writing, on AI literacy, AI in finance and accounting, and the standards and frameworks behind AI assurance.
§ 1 — Published
Practice · 3 min read
AI literacy for accountants and finance teams
Finance is among the functions most exposed to AI and least forgiving of its mistakes. Where it helps, where it fails, and the controls auditors expect.
AI Assurance Council
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Practice · 3 min read
The AI skills employers are actually hiring for
Every CV claims proficiency with AI tools. What employers want is harder to fake: real work from AI, catching it when wrong, and owning the result.
AI Assurance Council
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Practice · 4 min read
The AI literacy frameworks, compared
Governments, international bodies and AI companies have each published an AI literacy framework. They look different and agree on most of what matters.
AI Assurance Council
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Practice · 4 min read
The twelve AI literacy skills that matter at work
AI literacy is not one skill but twelve, in five groups. Most people are strong in two or three and have never considered the rest. A self-check for each.
AI Assurance Council
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Practice · 4 min read
AI literacy, digital literacy, data literacy and AI fluency are not the same thing
Four terms used interchangeably, and the differences decide what to train and what to measure. Clear definitions and a side-by-side comparison.
AI Assurance Council
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Practice · 4 min read
What is AI literacy, and what is it not
AI literacy is the knowledge and judgement to use AI well, check what it produces, and know when not to. The definition, components and how to measure it.
AI Assurance Council
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Insight · 5 min read
AI assurance careers: roles, skills, and what employers actually ask for
What the job postings actually say — median pay, who is hiring, and why the technical bar is higher than most people expect.
AI Assurance Council
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Insight · 4 min read
Singapore's AI assurance ecosystem, and what it means for practitioners
AI Verify, the Model AI Governance Frameworks, and the world-first agentic AI framework of January 2026 — and what a practitioner is expected to do with them.
AI Assurance Council
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Insight · 5 min read
How to build an AI risk profile for a deployment
A seven-step method for producing a risk profile a sceptical reader can challenge, with the failure mode at each step and what the finished artefact contains.
AI Assurance Council
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Insight · 4 min read
ISO/IEC 42001 vs NIST AI RMF, and when each one applies
One is a certifiable management system standard, the other a voluntary risk framework. They are not alternatives, and treating them as such is a mistake.
AI Assurance Council
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Insight · 4 min read
What is AI assurance? A practitioner's definition
Producing credible, independently reviewable evidence that an AI system works as intended — and how that differs from governance and compliance.
AI Assurance Council
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§ 2 — Contributing
Practitioner writing
Alongside the Council's own guides, this section carries writing by people working in assurance, security, governance, and regulation — their argument, their byline, and a standard of sourcing we hold them to as firmly as we hold ourselves.
The contributor guidelines set out what we publish, where the line on AI-assisted drafting sits, and how a piece is reviewed. The article format is the shape a submission takes.