Smart Compare
Systematically identify inconsistencies across disclosures
Consistency across documents, versions, and languages — by design
A single product or fund is typically described across multiple documents, versions, and languages — often produced by different teams or external service providers. The same information is repeated across formats, increasing the risk of inconsistencies that are difficult to detect manually.
Smart Compare systematically compares overlapping information across documents, versions, languages, and production sources to surface inconsistencies that manual reviews and sampling-based checks structurally miss.
Sampling-based reviews assume inconsistencies are random. In reality, disclosure inconsistencies are often structural — caused by partial updates, translation drift, or differing interpretations across teams and vendors. Smart Compare addresses this structural risk through systematic comparison.
Why Smart Compare
Without systematic comparison, organisations rely on manual reviews that do not scale with document volume, language variants, or outsourcing models. Smart Compare enables full coverage across disclosures, helping organisations detect inconsistencies early — before publication, regulatory review, or investor scrutiny.
Measured Impact
100% coverage instead of sampling
All relevant disclosures are compared systematically, reducing the risk of undetected inconsistencies caused by sampling-based reviews.
Early detection of inconsistencies
Inconsistencies caused by partial updates, translation differences, or vendor deviations are identified early in the production and review process.
How Smart Compare Works
Cross-document data mapping
Smart Compare identifies overlapping data points across documents belonging to the same subject (e.g. ISIN, fund, share class), based on predefined data models and lineage definitions.
Systematic comparison
Extracted data points are compared across document types, versions, languages, and production sources. Deviations are identified with full context and source references.
Actionable findings
Identified inconsistencies are presented in a structured, explainable format, enabling prioritisation, remediation, and documentation within existing review and governance workflows.
Designed for regulated environments
Predefined data models and comparison scopes
Transparent source references and traceability
Explainable comparison results
Integration into oversight and review workflows
Decision-support, not autonomous decision-making
Smart Compare supports review and oversight activities by highlighting inconsistencies across disclosures. It does not make autonomous compliance or approval decisions. Users remain responsible for interpretation, validation, and remediation actions.
GDPR-aligned processing model
Smart Compare processes data solely based on client instructions. Kreios acts as a data processor under applicable data protection laws and applies appropriate technical and organisational measures to protect personal and confidential data.
Ready to surface hidden inconsistencies?
See how Smart Compare helps you detect inconsistencies across disclosures before they create regulatory, reputational, or operational risk.
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