How we work
How AIR APAC works.
Common questions about the Index, the diagnostic, the Scorecard, and how to engage. The intent is to make it obvious which instrument fits which decision before anyone writes an email.
About AIR APAC
What is AIR APAC?
The Center for AI Readiness in Asia Pacific is an independent, vendor-agnostic research and advisory institution focused on AI readiness in mid-market enterprises across the region. AIR APAC publishes the Mid-Market Readiness Index, runs executive programs, and provides advisory engagements grounded in the same methodology. We do not accept technology-vendor funding.
Who do you work with?
Mid-market enterprises (broadly: 200-3,000 employees, US$50-500M revenue, headquartered or operating significantly in Asia Pacific). Plus: governments and policy bodies designing capability programmes; intergovernmental partners working on regional AI readiness; academic and research institutions collaborating on Index methodology.
Are you for hire as a consultancy?
For organisations that meet our qualification criteria, yes – through three engagement formats: AI Readiness Assessment, Strategic AI Transformation Advisory, and Fractional Chief AI Officer. See the Advisory page for scope and capacity.
About the Index
What does the Index measure?
Observable preconditions for AI adoption across three layers: digital infrastructure (25%), talent capacity (45%), and strategic intent (30%). The output is a Total Readiness Score (TRS) on a 0-100 scale, paired with a confidence rating (High / Medium / Low). It is not a measure of deployed AI systems, ROI, or internal capability depth.
Why behavioural signals instead of surveys?
Surveys are subject to social desirability bias and strategic misrepresentation, and many mid-market executives do not yet have the vocabulary to accurately describe their AI capabilities. Behavioural signals – public hiring data, technology stack detection, analysed strategic communications – are more observable and more reproducible across markets. We trade self-report bias for visibility bias and document the limitations honestly.
Can my organisation be added to the Index?
The Index is not a self-nomination dataset. We define eligibility by employee count and revenue band, then build the cohort from public business intelligence. If we have missed your organisation or you believe a score does not reflect public signals, write to info@airapac.org with evidence; corrections supported by evidence will be reflected in the next scheduled refresh.
How often is the Index updated?
Quarterly Index publication, with an annual flagship publication that includes longitudinal comparison and sector deep-dives. The first year-on-year comparison will be published in early 2027.
Index, diagnostic, Scorecard – which one?
AIR APAC operates three distinct instruments. They answer different questions and require different inputs.
| Instrument | Question it answers | Inputs | Output |
|---|---|---|---|
| Mid-Market Readiness Index | Where does this organisation sit relative to APAC peers? | Public signals only | TRS 0-100 + tier + confidence |
| Six-Dimension Diagnostic | What specifically blocks this organisation from scaling AI? | Executive interviews, document review, stakeholder assessment | 12-page action framework, prioritised barriers, 90-day milestones |
| Scorecard | How does my readiness compare to peers, fast? | 30 self-reported questions (15 minutes) | Six-dimension self-assessment with comparison to the Q1 2026 cohort |
The Scorecard is a free entry point. The Index is research output. The Six-Dimension Diagnostic is an advisory engagement.
About the data
Where does the data come from?
A multi-source intelligence pipeline: Apollo.io (people data, job postings), Wappalyzer (technology stack detection), structured Google search via Serper, anti-bot scraping fallback via Jina Reader, and LLM-powered extraction and scoring via Claude and GPT-4o. The pipeline is documented in section 2 of the white paper.
What are the limitations?
Observability is not readiness. A Low-confidence rating does not prove a company is unprepared – only that it cannot be distinguished from one. Sector-level effects, cross-market visibility differences, hypothesis-driven weights, and snapshot timing are all documented limitations. See the methodology hub for the full list.
How do you handle named companies?
All company information is derived from publicly available signals or licensed sources operating under their own terms of service. No proprietary, confidential, or personal data (as defined under Singapore’s PDPA or equivalent regional frameworks) is republished. Rankings are algorithmic outputs, not endorsements or adverse assessments. Companies wishing to request correction or context may contact info@airapac.org.
Engagement and partnership
How do I begin an engagement?
Take the Scorecard first – 15 minutes, calibrated against 510 APAC mid-market peers. From there, qualified organisations receive a 60-minute diagnostic conversation with senior leadership. Beyond that, advisory engagements are scoped individually.
Do you do research collaborations?
Yes. Active collaborations apply the Index methodology to specific verticals or city contexts. Current collaborations include an urban-tourism research partnership covering benchmarking, asymmetric visibility in AI-powered travel, and AI governance signals for tourism. See the Partners page.
How do I subscribe to research?
Quarterly briefings, sector deep-dives, and the annual flagship are distributed to subscribers and partner contacts. Contact us to be added.
Press and media
Can I republish charts or statistics?
Yes – with attribution: Source: AIR APAC Mid-Market Readiness Index, Q1 2026. See the Press kit for downloadable charts and republication terms.
Spokesperson?
Indhran Indhraseghar, Founder. For interviews and quotes: press@airapac.org.