Finance

Finance: Internal Audit AI Agents

4.48/5.00

4.5

D

4.4

U

4.7

B

4.3

E

The Problem

Traditional internal audit processes rely on sample-based testing, reviewing only 5-10% of transactions and missing systemic issues that only emerge across entire populations. A Big Four accounting firm faced mounting pressure as clients demanded faster audits with greater coverage, while experienced auditors spent 60% of their time on repetitive documentation tasks. With SOX compliance deadlines, ITGC reviews, and accounts payable/receivable audits requiring verifiable workpapers, the firm needed AI agents capable of testing entire transaction populations while maintaining the auditability standards required for regulatory submissions.

Type

Big Four Accounting Firm

Industry

Finance

Size

Enterprise

Region

California, United States

Users

1200+

The Analysis

The platform required specialized AI agents for each audit domain: SOX internal controls testing, ITGC reviews covering access management and change controls, accounts payable duplicate payment detection, and accounts receivable aging analysis. Each agent needed to process entire transaction populations rather than samples, applying rule-based checks augmented by LLM-as-a-judge patterns for nuanced policy interpretation. RAG pipelines enabled agents to retrieve relevant accounting standards, client policies, and prior year workpapers for context. Human-in-the-loop workflows routed exceptions and edge cases to senior auditors, while all outputs generated structured workpapers meeting regulatory documentation standards. The system required complete audit trails showing reasoning chains from source data through conclusions.

Compliance:PCAOB and SEC standards for audit documentation
Auditability:Complete reasoning trails for every conclusion
Scale:Process millions of transactions per engagement
Integration:Connect to client ERP systems including SAP, Oracle, NetSuite
Security:SOC 2 Type II and client data isolation requirements
Accuracy:False positive rates below 5% to maintain auditor trust

The Solution

Discovery

8 weeks

Development

28 weeks

Integration

12 weeks

Deployment

6 weeks

The Results

Key Outcomes

Population coverage100% vs 5-10%
Audit cycle time-45%
Documentation time-65%
Exception detection rate+180%
Workpaper consistency98%
Auditors using platform1200+

Key Learnings

01

LLM-as-a-judge confidence thresholds required calibration per audit domain. SOX controls needed tighter thresholds than AP testing.

02

Workpaper templates evolved through three iterations based on QA feedback. Involve quality reviewers early in design.

03

Client ERP data extraction was the longest integration phase. Standardize connectors for top 5 ERP systems upfront.

About DUBEScore™

DDelivery

On-time, on-budget execution. Measures project management quality, milestone adherence, and resource efficiency.

UUtility

Real-world usefulness. Evaluates how well the solution solves the stated problem and meets user needs.

BBusiness Impact

Measurable ROI and value creation. Tracks revenue impact, cost savings, and strategic outcomes.

EEndurance

Long-term sustainability. Assesses maintainability, scalability, and system resilience over time.

Scale: 1.0–5.05.0 = Exceptional4.0 = Strong3.0 = Meets expectations