AI Governance · 2025
05
Shield
Governance
The brief
Deploy AI.
Without the risk.
A financial services firm had built a suite of AI models for credit decisioning and customer triage — but had no way to prove they were fair, compliant, or stable. Regulators were asking questions the team couldn't answer. The models ran. The audit trail didn't exist.
KIJO built Shield — an AI governance layer that wraps existing model infrastructure with continuous monitoring, automated compliance checks, bias detection, and audit-ready reporting. The firm went from zero governance posture to full regulatory confidence in 10 weeks — without touching a single model.
Challenge
Models running.
No audit trail.
The AI systems were making consequential decisions — credit approvals, customer escalations, risk flags — but there was no centralised record of how those decisions were made, whether the models were drifting, or whether outcomes were consistent across demographic groups. The team knew they had a governance gap. They didn't know how wide it was.
Model decisions couldn't be explained to customers or regulators — creating legal exposure and eroding trust in the AI systems themselves.
Input distributions had shifted since training — but without monitoring, nobody knew. Model accuracy had quietly degraded by 18% over six months.
Incoming AI Act obligations required documented governance, bias testing, and incident reporting processes — none of which existed.
Solution
Governance as
infrastructure.
Shield wraps existing model infrastructure via a lightweight API integration — logging every prediction, monitoring input distributions, running bias checks across protected attributes, and generating explainability summaries for flagged decisions. A compliance dashboard gives the risk and legal teams real-time visibility. Audit exports are generated automatically on a configurable schedule.
Real-time tracking of input and output distributions — with automated alerts when distributions shift beyond defined thresholds.
Automated fairness checks across protected attributes at every decision point — with statistical significance reporting and remediation guidance.
Full decision logs, explainability summaries, and compliance exports — formatted for regulatory submission without any manual assembly.
Zero to full
governance
Decision
coverage
Drift detected
and resolved
Regulatory
findings