AGIRI — AI Governance Implementation Readiness Index

A research prototype for an agency-level AI governance implementation readiness diagnostic framework for Indonesian government institutions.

What is AGIRI?

AGIRI (AI Governance Implementation Readiness Index) is a research-based, agency-level diagnostic framework that measures how effectively Indonesian government agencies translate AI governance requirements into operational practice. While existing instruments such as Oxford GARI, UNESCO RAM, and UNDP AIRA provide national-level or macro-level AI readiness assessments, AGIRI fills the measurement gap by creating agency-level scores, dimension-level diagnostics, and evidence-based policy recommendations.

The Core Gap

Indonesia has a national AI strategy (Stranas KA 2020–2045) and ambitious 2030/2045 AI targets, as well as country-level AI readiness rankings from international indices. However, existing tools do not reveal readiness gaps inside individual government agencies. AGIRI creates the missing agency-level diagnostic layer between national AI strategy and actual institutional implementation.

"Agency-level assessment is the missing layer between national AI strategy and actual implementation capacity."

The 5 AGIRI Dimensions

#	Dimension	Weight	Approximate Items
1	Policy Alignment	15%	~12
2	Technical Infrastructure	25%	~15
3	Human Capital	25%	~15
4	Organizational Readiness	20%	~12
5	Governance Mechanisms	15%	~9

Total items: ~63

Scoring Model

• Each item is measured on a Likert 1–5 scale
• Likert values are converted to 0–100: 1 → 0, 2 → 25, 3 → 50, 4 → 75, 5 → 100
• Dimension score = average of items within that dimension
• Overall AGIRI Score = Σ (Dimension Score × Weight)

Maturity Levels

Range	Category
0–20	Very Low Implementation Readiness
21–40	Low Implementation Readiness
41–60	Moderate Implementation Readiness
61–80	High Implementation Readiness
81–100	Advanced Implementation Readiness

Prototype Pages

Page	Route	Description
Home	/	Landing page with problem statement and framework overview
Research Summary	/research-summary/	Simplified overview of the research proposal for non-technical audiences
Dashboard	/dashboard/	National overview with simulated agency-level analytics and decoupling scatter plot
Agencies	/agencies/	Filterable list of 40 simulated anonymized institutions
Agency Detail	/agencies/[id]/	Full scorecard for a single agency
Instrument	/instrument/	Detailed 5-dimension instrument with validation pipeline
Assessment	/assessment/	Interactive 7-step assessment wizard
Methodology	/methodology/	Research questions, objectives, hypotheses, timeline, and theoretical foundations
PKP Case Study	/case-study-pkp/	Kementerian PKP qualitative case study design
Recommendations	/recommendations/	Dimension-specific policy actions and intervention strategies

Tech Stack

• Framework: Next.js 16 (App Router) + React 19 + TypeScript
• Styling: Tailwind CSS v4
• Charts: Recharts
• Icons: Lucide React

Getting Started

# Install dependencies
npm install

# Run development server
npm run dev

# Build for static export
npm run build

Open http://localhost:3000 to view the prototype.

Important Note

All data in this prototype is simulated for research demonstration purposes. No real official government scores, rankings, or institutional assessments are presented. Agency names, scores, and evidence items are fictional and anonymized, designed solely to illustrate how the AGIRI framework would function if implemented.

Research Context

This prototype is designed for:

• PhD research proposals
• Fulbright-style research proposals
• Academic presentations on AI governance
• Policy discussions on public-sector digital transformation

License

Research Prototype — For academic and research demonstration purposes.