Explainable AI for Finance: Why Black-Box Models Fail

Black-box ML can't produce the GDPR Article 22 rationale or the audit trail regulated finance requires. Explainable-by-design decisions can.

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Decision Discipline: The Governance Edge Over AI Alone

Raw AI finds edges but can't enforce limits. An explicit, logged decision-gate layer is what makes a model operationally safe.

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Backtesting Realism: Why Friction & Slippage Decide Your Edge

Realistic slippage, half-spread, commission, and worst-case fills separate a real trading edge from a curve-fit illusion.

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Shadow Deployment for ML: Ship Models Without Losing Signal

The shadow → adoption-gate → autonomous ladder for model governance in finance — plus the six pitfalls that kill ML projects.

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