A lightweight, static, browser-based AI capability self-assessment tool for reflecting on organisational readiness and maturity across six domains, based on the CloudPedagogy AI Capability Framework.
Phase: Phase 3 — Capability System
Role: Collects primary reflective data on organizational or team AI capability across six benchmark domains.
Upstream Inputs: Manual user input based on the CloudPedagogy AI Capability Framework.
Downstream Outputs: Exports structured JSON snapshots used by the Capability Dashboard, Gaps & Risk diagnostic, and Scenario Stress Test.
Does NOT:
- Perform automated benchmarking or institutional audits.
- Map capability coverage across academic programmes.
For a full system overview, see: SYSTEM_OVERVIEW.md
Designed for education, research, and public-service organisations, this open, framework-led tool supports reflective discussion and capability development rather than auditing, compliance, or benchmarking.
👉 http://ai-capability-self-assessment-cloudpedagogy.s3-website.eu-west-2.amazonaws.com/
git clone [repository-url]
cd [repository-folder]npm installnpm run devOnce running, your terminal will display a local URL (often http://localhost:5173). Open this in your browser to use the application.
npm run buildThe production build will be generated in the dist/ directory and can be deployed to any static hosting service.
- Governance-First: Designed to reveal organisational blind spots and structural fragility.
- Insight-Driven: Generates interpreted patterns and fragility signals, not just a score.
- High-Integrity Data Collection: Includes Confidence Indicators per question and mandatory Metadata Snapshots.
- Privacy-Preserving: Runs entirely in the browser; all data stays in
localStorage.
This tool has been strengthened to serve as the primary input layer for capability intelligence:
Assessments are exported as timestamped snapshots (JSON and Markdown) containing:
- Capability scores across 6 domains.
- Metadata: Role, Department, and Assessment Context.
- Per-question confidence levels.
The app maintains a local-only history of the last 10 assessments. This enables Trend Analysis in the results view, showing deltas (+/-) between current and previous self-assessments.
Users indicate their confidence (Low/Medium/High) for every response. This ensures that downstream analytics tools can distinguish between "Estimated" and "Verified" capability states.
- Implement confidence indicators
- Enable local progress tracking
- Standardise snapshot export format
The AI Capability Self-Assessment helps individuals and teams explore how well their organisation is positioned to use artificial intelligence responsibly, effectively, and sustainably.
Rather than focusing on specific AI tools or technologies, the assessment examines organisational AI capability across six interdependent domains:
- Awareness
- Human–AI Co-Agency
- Applied Practice & Innovation
- Ethics, Equity & Impact
- Decision-Making & Governance
- Reflection, Learning & Renewal
- Framework-led and non-prescriptive
- Reflective rather than evaluative
- Static and private (runs entirely in the browser)
- Explainable, rule-based interpretation
- No data storage, transmission, or tracking
This repository contains exploratory, framework-aligned tools developed for reflection, learning, and discussion.
These tools are provided as-is and are not production systems, audits, or compliance instruments. Outputs are indicative only and should be interpreted in context using professional judgement.
All applications are designed to run locally in the browser. No user data is collected, stored, or transmitted.
All example data and structures are synthetic and do not represent any real institution, programme, or curriculum.
This repository contains open-source software released under the MIT License.
CloudPedagogy frameworks and related materials are licensed separately and are not embedded or enforced within this software.
CloudPedagogy develops open, governance-credible resources for building confident, responsible AI capability across education, research, and public service.