Evaluation & Assurance (CEAIE)
CEAIE — measures performance, reliability, accuracy and business impact of every module, AI agent, prediction and policy; diagnoses variance and recommends improvements. Measures & recommends; never overrides governance.
Prediction Accuracy91%+2.3%
Recommendation Acceptance61%-14%
Evidence Completeness88%-10%
On-Time Delivery88%+1.2%
Module Scorecards
CIAK78
CESPE71
CSCOE94
CPEG90
CRG92
CCPE96
VEE84
IPPC-CL89
Improvement Backlog
| Eval ID | Module | Metric | Expected | Actual | Variance | Severity | Recommendation | Status |
|---|---|---|---|---|---|---|---|---|
| EVAL-1042 | CESPE | FAT readiness accuracy | 92% | 79% | -13% | High | Retrain panel FAT predictor on Q2 data | Open |
| EVAL-1043 | CSCOE | Schedule forecast accuracy | 90% | 94% | +4% | Low | Within target — no action | Closed |
| EVAL-1044 | CIAK | Recommendation acceptance | 75% | 61% | -14% | Medium | Add evidence citation to shortage alerts | Open |
| EVAL-1045 | CCPE | QA gate bypass rate | 0% | 0.4% | +0.4% | High | Tighten FAT-readiness block rule | In Review |
| EVAL-1046 | VEE | Evidence completeness | 98% | 88% | -10% | Medium | Enforce photo + checklist before completion | Open |