AI Readiness for Government Agencies: Is Your Organization Ready?
Short answer: AI readiness is an organization’s preparedness to put AI into real use across people, processes, data, technology and policy. Thai government agencies should assess five dimensions (strategy and policy, data and infrastructure, people and skills, process and governance, and culture and leadership) before buying AI tools. A structured path runs from assessment (months 1–2) to building foundations (months 3–6), piloting 2–3 high-impact, low-complexity use cases (months 7–12), and scaling from month 13.
Why AI readiness is an urgent agenda for Thai government agencies
2026 is no longer a year in which government agencies can afford to “wait and see” on AI.
The Thailand AI Readiness Assessment Report 2025, produced jointly by UNESCO, TDRI, ETDA and NSTDA, states clearly that Thailand already has a national AI strategy but still lacks AI-specific legislation and a clear oversight mechanism. Meanwhile, the Government AI Readiness Index 2025 by Oxford Insights, which assesses governments in 195 countries, shows that the highest-scoring countries are not the ones with the best technology. They are the ones with clear governance, an accountability structure, and an ethics framework that guides how AI is used in the public sector.
For Thai government agencies, then, the question is not “Will we use AI?” but “How ready are we?”
What is AI readiness, and why “assess” before you “act”?
AI readiness is an organization’s level of preparedness to put AI into real use. It spans people, processes, data, technology and policy.
Many agencies start by buying an AI tool or platform without assessing whether the organization is ready to support it. The result: pilot projects that cannot scale, budgets spent with no visible results, and staff who still do not understand how AI will change their work.
An AI readiness assessment is like a health check before running a marathon. If you do not know where your weak points are, your technology investment may end up as money wasted.
The 5 dimensions of AI readiness government agencies should assess
The five dimensions below are adapted from the UNESCO Readiness Assessment Methodology (RAM) and Oxford Insights' Government AI Readiness Index, both of which assess readiness at the national level, so that they can be used to assess an individual agency:
1. Strategy & Policy
| Assessment area | Key question |
|---|---|
| AI vision | Does the organization have an AI Strategy or Digital Strategy that clearly defines the role of AI? |
| Executive support | Are senior executives committed to driving AI? |
| Budget plan | Is budget allocated specifically for AI projects? |
| Measurement | Are there KPIs or metrics to measure the success of AI projects? |
The Thailand AI Readiness Report 2025 notes that Thailand scored very highly on government strategic vision (a full 100 points), but at the agency level many organizations still have no clear AI Strategy, or have one that has not been turned into an action plan.
2. Data & Infrastructure
| Assessment area | Key question |
|---|---|
| Data quality | Is the data accurate, complete and up to date? |
| Data access | Is data held in systems that are easy to access, or scattered across silos? |
| Data governance | Are there clear data governance policies and processes? |
| Technology infrastructure | Is there cloud infrastructure or computing power that can support AI workloads? |
The same report states that Thailand has more than 28,000 open government datasets, but their quality and reusability remain limited, which is a major obstacle to AI adoption.
3. People & Skills
| Assessment area | Key question |
|---|---|
| AI literacy | Do staff have a basic understanding of AI? |
| Specialist skills | Are there staff with data science or ML engineering skills? |
| Skills development plan | Is there a clear upskilling/reskilling plan? |
| Change management | Is there a change management mechanism to support AI adoption? |
According to the UNESCO report, Thailand is still short of about 80,000 AI professionals. The Super AI Engineer program, which has trained more than 33,000 people so far, is still not enough to meet demand.
4. Process & Governance
| Assessment area | Key question |
|---|---|
| AI-suitable processes | Have the processes where AI can help been clearly identified? |
| AI ethics framework | Are there AI ethics guidelines or a Responsible AI framework? |
| Risk management | Are the risks of using AI assessed systematically? |
| Internal regulations | Do the organization’s internal regulations enable AI adoption? |
ETDA has now set up the AI Governance Center (AIGC) to set technical standards and assess AI readiness for both the public and private sectors, and a new draft AI Act is in progress.
5. Culture & Leadership
| Assessment area | Key question |
|---|---|
| Openness to innovation | Is the organization open to new technology, or attached to the old ways? |
| Data-driven culture | How far are decisions inside the organization based on data? |
| Cross-functional collaboration | Do teams work across functions on digital/AI projects? |
| Learning culture | Does the organization support learning and trying new things? |
AI readiness self-assessment checklist for government agencies
Try an initial assessment of your organization with this checklist:
| No. | Item | Yes | No |
|---|---|---|---|
| 1 | The organization has an AI Strategy or Digital Strategy that clearly defines the role of AI | ☐ | ☐ |
| 2 | Senior executives prioritize and support AI projects | ☐ | ☐ |
| 3 | There is quality data that can be used for AI | ☐ | ☐ |
| 4 | There is a clear data governance system | ☐ | ☐ |
| 5 | There are staff with at least basic data/AI skills | ☐ | ☐ |
| 6 | There is a plan to upskill staff in AI | ☐ | ☐ |
| 7 | Cloud infrastructure or computing resources are ready | ☐ | ☐ |
| 8 | Use cases where AI can create real impact have been identified | ☐ | ☐ |
| 9 | There is an AI ethics and risk management framework | ☐ | ☐ |
| 10 | The organization has a culture that is open to change and innovation | ☐ | ☐ |
How to read the results:
- —8–10 “yes” answers: Your organization is highly ready and can start AI projects now. Focus on choosing high-impact use cases that can scale.
- —5–7 “yes” answers: You have a good foundation, but there are still gaps to close. Prioritize the gaps in each dimension and build a clear roadmap.
- —Fewer than 5 “yes” answers: Not ready yet. Go back and start with the foundations, especially data governance and leadership buy-in.
Common problems: why Thai government agencies are still “not ready”
From our work with public-sector agencies, we see several problems that come up again and again:
1. A strategy but no action plan: Many agencies have a digital strategy on paper but no roadmap that spells out what will be done, when, and who is responsible.
2. Data silos: Data is scattered across departments, with no central standard and no good data catalog, so AI lacks good enough raw material to learn from.
3. A shortage of AI talent: Not just data scientists, but also people who understand the “business problem” and can translate it into a suitable AI use case (AI translators).
4. Fear of risk and reluctance to experiment: A bureaucratic culture that emphasizes strict compliance with regulations can create hesitation about running pilot projects.
5. Discontinuous budgets: AI projects take time to show results, but the annual budgeting system may not support long-term investment.
Roadmap: from “not ready” to “AI-ready” in 4 steps
Step 1: Assess the current state (months 1–2)
Conduct a systematic AI readiness assessment covering all five dimensions above, identify the most important gaps, and prioritize them. This step can draw on ideas from the UNESCO RAM and Oxford Insights, adapted from the national level to the agency level.
Step 2: Build the foundation (months 3–6)
Start by closing the most important gaps, for example by developing a data governance framework, improving data quality, running staff upskilling programs, and setting internal AI ethics guidelines.
Step 3: Pilot and prove (months 7–12)
Pick 2–3 use cases with high impact but low complexity for pilot projects that demonstrate the value of AI in concrete terms. Create quick wins to build momentum inside the organization.
Step 4: Scale and optimize (month 13 onward)
Expand on successful pilots, set up an internal AI Center of Excellence, and move toward systematic, wide-scale use of AI.
Case examples: AI in government that “actually works”
AI in government does not have to be futuristic. Things that are achievable today include:
- —Automated document submission systems, which can pre-fill data and check for missing documents, cutting processing time
- —Forecasting systems in public hospitals, which predict patient no-shows and help allocate resources better
- —Anomaly detection systems, applied to welfare disbursement data, which help prevent fraud without affecting legitimate beneficiaries
- —Citizen service chatbots, which answer basic questions 24 hours a day and reduce staff workload
Why “waiting” is not an option
Thailand is in a momentum window for AI adoption in government. The National AI Strategy and Action Plan (2022–2027) is entering a critical phase in which agencies need to move from pilots to real deployment.
The establishment of the AI Governance Center (AIGC) under ETDA, the push for a new AI Act, and Thailand hosting the 3rd UNESCO Global Forum on the Ethics of AI all indicate that Thailand’s AI ecosystem is moving fast.
Agencies that assess themselves and start preparing today will have an advantage over those that wait until every regulation has been issued.
Not sure whether your organization is ready? Start with an assessment
AI readiness does not mean doing everything at once. It starts with knowing where you stand, setting a clear roadmap, and gradually building a strong foundation.
NXT Consulting Group helps government agencies assess their AI readiness across all five dimensions, prioritize the gaps to close first, and build a roadmap with indicators for tracking progress during implementation. Our work is strategy and planning; we do not develop or install AI systems.
Talk to us about assessing your organization’s AI readiness →
Translated from the Thai original by NXT Consulting Group.
Share this article
