Maqāṣid-Based Institutional Intelligence Framework
MIIF™ measures the institution's capacity to sense, learn and decide in alignment with the five Maqāṣid (faith, life, intellect, lineage, wealth) — integrating knowledge management, data analytics and AI-augmented decision intelligence.
Objectives
- Quantify institutional learning velocity.
- Align analytics & AI investment with maqāṣid outcomes.
- Reduce decision latency and ethical drift.
- Build a maqāṣid-screening layer over data pipelines.
Principles
- ʿIlm — pursuit of knowledge
- Tafakkur — structured reflection
- Tadbīr — strategic deliberation
- Ḥikmah — wisdom in choice
- Shūrā — collective intelligence
Components
- Knowledge Capture & Repositories
- Data Architecture & Quality
- Decision Intelligence & AI Ethics
- Maqāṣid Screening Layer
- Foresight & Scenario Capability
Indicators
- Decision cycle time
- Data quality index
- AI ethics audit pass rate
- Lessons-learned reuse rate
- Strategic foresight coverage
Assessment Criteria
- Existence of central knowledge repository
- Data governance policy & owners assigned
- AI use cases mapped to maqāṣid impact
- Quarterly foresight / scenario reviews
Practical Applications
- Islamic banks — Shariah-aligned AI scoring models
- Universities — research intelligence platforms
- Government — maqāṣid-screened policy analytics
From Emerging to World-Class
Ad-hoc practice, limited evidence.
Documented intent, partial implementation.
Operating consistently with measurement.
Integrated, audited, continuously improved.
Benchmark, replicable, transformational.
Quantitative Scoring Anchors
| KPI | Unit | Target |
|---|---|---|
| Decision Cycle Time | days | ≤ 14 |
| Data Quality Index | % | ≥ 90% |
| AI Ethics Compliance | % | 100% |
| Knowledge Reuse Rate | % | ≥ 60% |
Scoring methodology: each indicator is rated 1–5 against the maturity rubric; the layer score is the weighted mean rescaled to 0–100 and contributes 15% to the IIEI™ composite.
"Are those who know equal to those who do not know?"
"Consult them in the matter (Shūrā)."
Faculty of Islamic Economics
Maqāṣid screening of research portfolio increased policy-cited output 3× within two years.
Part of the Onike Framework Ecosystem
OTIIE™ · Onike Theory of Islamic Institutional Excellence
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