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Coforge Trust AI

 

Responsible AI that satisfies regulators and auditors, not just design documentation.

What Trust AI does

Built-in guardrails
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Responsible AI controls are embedded in the system architecture from day one, not compliance documentation produced after deployment to satisfy an audit already underway.

Continuous bias monitoring
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Real-time detection of output bias across protected characteristics surfaced to operations teams, not discovered in annual reviews or regulatory examinations.

Explainability for Regulated Decisions
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Every AI-assisted decision comes with a traceable rationale that satisfies both technical reviewers and regulatory examiners, including SR 11-7, the EU AI Act, and fair lending requirements.

Audit-ready evidence trail
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A structured, complete record of model behavior, decision logic, and governance controls, ready for examination, not assembled under time pressure when the request arrives.

Signals this is the right conversation

Regulatory scrutiny on AI decisions
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Regulators or auditors have asked, or are expected to ask, for evidence of how AI-assisted decisions are governed and explained under SR 11-7 or equivalent frameworks.

Unexplainable model outputs
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AI systems producing decisions that operations or legal teams cannot explain to customers, examiners, or counsel with sufficient confidence and traceability.

EU AI Act compliance exposure
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High-risk AI use cases in scope for EU AI Act obligations, with no current architecture to demonstrate conformity or generate required technical documentation.