Stop investigating variance. Start understanding it.
Normalize charts of accounts, handle multi-currency, automate eliminations, and deliver clear explanations across entities.
Key features
Automated flux explanations
Agents group, categorize, and explain balance changes so teams get narrative-ready insights instead of raw number swings.
Transaction-level variance analysis
Move from summary balance changes to the exact transactions, entities, and drivers behind every material movement.
Continuous monitoring, not just month-end review
Agents track balance movements throughout the period, surfacing unusual changes before they become close surprises.
Multi-entity and multi-currency ready
Normalize accounts, currencies, and entity structures so variances make sense across complex organizations.
How it works
Financial data is unified across systems
SevenYoken pulls transaction and balance data from your GL across all accounting systems into a normalized layer.
Balance variances are automatically calculated
Agents track period-over-period and month-to-date changes at the account, entity, and consolidated level.
Transactions are grouped into meaningful drivers
AI agents cluster related activity (e.g., vendor commitments, accruals and reversals) to explain variance in business terms.
Outliers and unexpected movements are flagged
Unusual changes are surfaced automatically so finance teams focus where attention is needed.
Explanations are delivered with full drill-down
Every variance explanation links directly to underlying transactions, making review and sign-off faster.
Move from doing the work to running the business.
Deterministic AI agents built for accuracy, auditability, and control.
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