Demonstrate that the system enforces governance under failure conditions — automatically blocking unsafe execution, managing incident workflows, validating recovery through structured checks, requiring explicit certification before re-entry, and producing complete audit evidence across the lifecycle.
Execution blocked instantly on failure detection
Submission eligibility disabled system-wide
Assurance score drops from 100 to 25 (critical)
Critical alert triggers governed incident creation
Incident acknowledged by operator
Full audit timeline begins recording
Evidence-based restoration (3 items collected)
7 structured validation checks executed
All checks must pass before certification
Recovery alone is not sufficient to resume
Explicit certification required by supervisor
Re-entry staged: Limited (cap=1.0) → Monitored → Full
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Show: blocked state + active incident
+ broker disconnected + assurance critical
Every artifact is machine-readable, auditable, and linked to the incident, recovery, and policy context that produced it. The full lifecycle is captured as a single reviewable evidence pack.
INSERT SCREENSHOT HERE
Show: certified + re-entry stage
+ assurance restored
Continue operating into failure
Recover without validation
Lack structured governance
Cannot prove correctness
Do not learn from incidents
Blocks unsafe execution instantly
Validates recovery with evidence
Requires certification before resume
Stages re-entry with rollback
Learns and evolves policy
Most trading systems continue operating into failure, recover without validation, and cannot prove correctness.
Ricche.ai demonstrates a governance-first system that enforces control through failure, recovery, certification, and controlled re-entry — with full traceability and no bypass paths.