AI Shadow Deployment Readiness Score
Score whether an AI system is ready for shadow deployment by combining test completeness, guardrail coverage, and the speed of monitoring and rollback mechanisms.
Governance aid only. Align thresholds with your organisation’s risk appetite and regulatory obligations before production changes.
Examples
- 85% offline coverage, 78% guardrail coverage, 45 s observability latency, 8 min rollback ⇒ Readiness score 80.2 / 100 with a monitoring agility score of 63.33%.
- 92% offline coverage, 88% guardrail coverage, latency and rollback left blank (defaults 45 s and 8 min) ⇒ Readiness score 88.4 / 100.
FAQ
Why cap the monitoring window at five minutes?
The 300-second scaling reflects the expectation that shadow anomalies should be surfaced within a few minutes to prevent customer impact once traffic is promoted.
How do I count qualitative guardrails?
Convert policy coverage to a percentage of high-risk behaviors with enforced controls, not just documented intentions. Include abuse filters, PII redaction, and rate limiting.
Does the score replace human review?
No. Use it to summarize readiness for change management while still running red-team reviews and signoffs for regulated workflows.
Additional Information
- Result unit: readiness score on a 0–100 scale with component percentages reported for transparency.
- Observability latency defaults to 45 seconds and rollback to 8 minutes when left blank, representing a reasonable baseline for SOC and on-call response.
- Weights allocate 40% to offline testing, 40% to guardrails, and 20% to monitoring agility so technical quality dominates while operational safety still influences readiness.