Work Paper
Related terms
Category
Financial Reporting
A work paper is a structured document that records the procedures performed, evidence examined, and conclusions reached during an account reconciliation or audit procedure. It serves as the primary documentation artifact for demonstrating that a reconciliation was prepared with due diligence and reviewed for accuracy.
Why it matters
Work papers are the evidentiary backbone of the financial close. They document not just the final reconciliation result but the entire process: what data was compared, what differences were found, how each difference was investigated, and what conclusion was reached. Auditors rely on work papers to evaluate whether reconciliation procedures were sufficient and whether the resulting balances are reliable.
In spreadsheet-based environments, work papers are often inconsistent. Each preparer develops their own format, level of detail, and documentation habits. Some preparers produce thorough, well-organized work papers; others produce minimal documentation that is difficult for reviewers and auditors to follow. This inconsistency creates risk because it makes it harder to assess the quality of the underlying reconciliation work and increases the time auditors spend requesting additional documentation.
Standardized work paper templates address this inconsistency by defining what information must be captured for each reconciliation type. They ensure that preparers document the right level of detail regardless of their experience level, and they make review and audit procedures more efficient because the information is always in the same place in the same format.
AI work paper automation addresses this by generating structured, consistent documentation with supporting narratives, freeing preparers to focus on analysis rather than formatting.
How Arvexi handles this
Arvexi's Work Papers module generates structured, standardized work papers for every reconciliation. Each work paper automatically captures the data sources compared, the balances at each step, all reconciling items with their categories and supporting documentation, tick marks indicating verification procedures performed, and the preparer and reviewer sign-off history.
Cortex's Work Paper Automation feature takes this further by auto-populating investigation narratives, variance explanations, and supporting schedules using AI investigation analysis. Preparers review and refine the AI-generated content rather than drafting from scratch, reducing documentation time while maintaining quality and consistency across the organization.