Who should use the Automate audit processes workflow?
Teams or solo builders working on finance & legal tasks who want a repeatable process instead of one-off tool experiments.
AI Workflow · Finance & Legal
Practical workflow to automate audit processes using AI tools for contract data extraction, compliance setup, and core audit analysis.
Deliverable outcome
A polished audit report with actionable remediation steps is delivered to management.
30-90 minutes
Includes setup plus initial result generation
Free to start
You can swap tools by pricing and policy requirements
A polished audit report with actionable remediation steps is delivered to management.
Use each step output as the input for the next stage
Step map
Instead of relying on a single generic AI model, this pipeline connects specialized tools to maximize quality. First, you'll use Parseur to all audit-relevant documents are digitized, searchable, and stored in a structured format. Then, you pass the output to Harvey to a structured dataset of contract metadata is ready for compliance comparison and audit analysis. Then, you pass the output to Diligent AI to a set of automated compliance rules is ready to be applied against the extracted contract data. Then, you pass the output to UiPath Platform to a complete audit exception report is produced, highlighting all compliance gaps and risks. Then, you pass the output to Process Street to audit findings are validated, with false positives removed and rules refined for future audits. Finally, Tableau AI is used to a polished audit report with actionable remediation steps is delivered to management.
Inventory and digitize audit-relevant documents
All audit-relevant documents are digitized, searchable, and stored in a structured format.
Extract contract metadata for audit inputs
A structured dataset of contract metadata is ready for compliance comparison and audit analysis.
Set regulatory compliance parameters
A set of automated compliance rules is ready to be applied against the extracted contract data.
Execute automated audit analysis
A complete audit exception report is produced, highlighting all compliance gaps and risks.
Review and validate audit findings
Audit findings are validated, with false positives removed and rules refined for future audits.
Generate final audit report and remediation plan
A polished audit report with actionable remediation steps is delivered to management.
Collect all contracts, invoices, and policy documents from shared drives, email attachments, and cloud storage. Use OCR and document parsing tools to convert scanned PDFs and images into machine-readable text, then store them in a structured database or folder system.
Why Parseur: Parseur specializes in data extraction, document parsing, and OCR, which directly matches the need for inventorying and digitizing audit-relevant documents.
Use an AI contract analysis tool (e.g., Kira Systems, LawGeex, or a custom NLP model) to extract critical metadata such as effective dates, renewal terms, termination clauses, financial obligations, and counterparty details. Validate extracted fields against a predefined audit schema.
Why Harvey: Harvey provides contract analysis and clause extraction, which is exactly what is needed for extracting contract metadata for audit inputs.
Load the relevant regulatory frameworks (e.g., GDPR, SOX, IFRS, or industry-specific standards) into a rules engine or AI compliance checker. Define thresholds, triggers, and required clauses (e.g., data breach notification timelines, revenue recognition rules) that the audit will test against.
Why Diligent AI: Diligent AI offers compliance monitoring and risk assessment, which directly supports setting regulatory compliance parameters.
Run the compliance rules against the extracted contract metadata using a script or low-code automation platform (e.g., Python with Pandas, UiPath, or Power Automate). Generate a report of all exceptions—contracts that fail one or more compliance checks—with severity ratings and suggested remediation actions.
Why UiPath Platform: UiPath Platform provides workflow orchestration and process automation, ideal for executing automated audit analysis.
Have a human auditor review a sample of the flagged exceptions to confirm accuracy and context (e.g., a missing clause may be acceptable per a signed amendment). Adjust the rules or extraction schema if systematic errors are found, then re-run the analysis if needed.
Why Process Street: Process Street can automate business processes and enforce policies with audit-ready proof, supporting manual review checklists and access to original documents.
Compile the validated exceptions into a final audit report with executive summary, risk heatmap, and prioritized remediation actions. Use a reporting tool (e.g., Power BI, Tableau, or a simple Word template) to present findings clearly to stakeholders.
Why Tableau AI: Tableau AI specializes in data analysis and data visualization, which is essential for generating final audit reports and remediation plans.
§ Before you start
Teams or solo builders working on finance & legal tasks who want a repeatable process instead of one-off tool experiments.
No. Start with the top pick for each step, then replace tools only if they do not fit your pricing, compliance, or output needs.
Open the mapped task page and compare top options side by side. Prioritize output quality, integration fit, and predictable cost before scaling.
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