Blue River Responsible AI Scorecard
AI-driven governance & maturity assessment for enterprise and government AI programmes.
Understand your Responsible AI posture in one structured scorecard.
Describe how your organisation uses AI today. The scorecard benchmarks your Responsible AI governance and overall AI maturity, then proposes a 90-day and 12-month roadmap.
- Scores for Responsible AI governance across 9 domains
- Scores for AI programme maturity across 7 dimensions
- Executive summary, risks, and phased improvement plan
- Government framework gap analysis (MAS FEAT, EU AI Act, EO 14110)
Sign in
Sign in with your Google workspace account to access the assessment platform.USER MANUAL · BLUE RIVER RESPONSIBLE AI SCORECARD
Designed for Chief Data/AI Officers, Risk, Compliance and Transformation leaders in enterprise and government.-
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Sign in with your Google workspace account. Enterprise authentication with audit logging. All assessments are tied to your identity and organization.
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Go to "1 · Org Snapshot & Inputs". Capture organisation basics (industry, region, size), AI ambition, risk appetite, and a concise but honest description of how AI is currently used and governed.
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Click "Run AI Governance & Maturity Assessment". The Worker sends your narrative through our AI and asks for a structured scorecard and advisory, based on reference governance domains including MAS FEAT, EU AI Act, and NIST RMF.
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Review "RAI Governance Scorecard". You will see an overall governance score plus domain-level scoring and prioritised strengths/gaps/actions.
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Review "AI Maturity Scorecard". This tab focuses on AI as a holistic programme: vision, use cases, data/tech, operating model, talent, RAI controls, and ecosystem.
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Use "Advisory & Roadmap" for your board paper. Copy the executive summary, regulatory gap analysis, 90-day actions and 12-month roadmap into your decks.
Important: this tool provides AI-generated benchmarking and advisory for discussion. It is not legal advice, compliance approval, or a substitute for formal risk assessments.
What do I need prepared?
Before running the assessment, it helps to have:
- A clear list of key AI use cases (internal + customer-facing).
- How decisions are currently made about AI (who approves, who owns models).
- Existing policies, committees, or risk processes touching AI.
- A view on your AI ambition for the next 12–24 months.
How are the scores produced?
The prompts ask the model to:
- Map your narrative onto 9 Responsible AI governance domains.
- Map your narrative onto 7 AI maturity dimensions.
- Score each 0–100 and assign a maturity level descriptor.
- Highlight 3–7 strengths, 3–7 gaps, and 3–7 recommended actions.
- Identify regulatory gaps against MAS FEAT, EU AI Act, EO 14110, PDPA.
Scores are directional, not absolute. The goal is structured discussion and prioritisation, not a "pass/fail" judgement.
Data handling
This Worker:
- Stores completed assessments in D1 database for your retrieval and comparison.
- Maintains an audit log of all assessment runs and exports.
- Stores your session in an HttpOnly cookie.
- Sends your prompts to Cloudflare Workers AI for processing.
Avoid pasting highly sensitive details (named individuals, full confidential documents). Use anonymised, summarised descriptions where possible.