Leverage artificial intelligence to identify key journal entry trends, provide insights, and detect anomalies in manual journal entries.
What hidden risks are lurking across your manual journal entries?
Journal entries directly impact financial reporting, audit compliance, and decision-making, yet many F&A teams rely on outdated, error-prone processes to post journal entries, exposing the business to increased risk and limiting visibility into the volume, timing, and nature of their journal entries.
BlackLine’s Journals Risk Analyser mitigates the risks related to manual journal entries by providing visibility into your entire journal population, enabling teams to proactively monitor key metrics and irregularities with anomaly detection and natural language querying, stay ahead of audit issues, and decrease the risk of misstatements.