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Controlled scope
Define processes, documents, controls and responsibilities before automating execution.
EXPERTISE · METHOD · TECHNOLOGY
Artificial intelligence can accelerate first and second line controls without making the framework opaque. DiGreen combines a control repository, document analysis and human validation.
Talk to DiGreenThe framework must strengthen the lines of defence and decision quality while keeping control owners in charge.
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Define processes, documents, controls and responsibilities before automating execution.
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Use AI to read evidence, connect information and flag the items that require review.
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Monitor results, exceptions and remediation actions through shared reporting.
Select controls whose rules and expected evidence are sufficiently explicit.
Translate business expectations into verifiable control points.
Run the analyses and focus attention on exceptions.
Validate findings, monitor actions and retain the full history.
Automation creates value when it improves coverage, result clarity and the way expert time is allocated.
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Analysis rules are formalised and applied consistently.
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Teams focus on gaps, complex cases and decisions.
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Validations and corrections become part of the control history.
Frequent, documented controls based on identifiable evidence generally provide the best starting point.
Roles, validation rights and reporting are configured around the client’s organisation. The tool assists analysis without merging responsibilities.
They are presented as review points. The controller keeps the decision and can correct or enrich the finding.
Let us select a representative scope, examine the available evidence and define the right response for your teams.
Talk to DiGreen