Internal Audit Automation
Internal audits require gathering evidence across operations and compliance systems, then verifying it against audit criteria.
75%
Faster audit cycle
99.1%
Finding accuracy
<4 wks
Time to deploy
01
The Problem
The Challenge
Audit teams spend weeks gathering documents from ERP systems, quality systems, and operational records. After collection, they cross-reference evidence against audit criteria, with gaps surfacing late in the cycle. By the next audit, the same findings repeat because underlying issues were not resolved.
02
How It Works
Automated evidence collection and cross-verification
ActionAI connects to operational systems and pulls evidence for each audit area. It cross-verifies records against internal requirements and regulatory criteria, assigns confidence scores to each finding, and flags low-confidence items for auditor review. Workpapers are generated with supporting evidence and visible confidence scores, so it is clear which findings are supported and which require further investigation. The system tracks corrective actions from prior cycles, providing evidence of what changed and how issues were addressed.
03
The Outcome
Shorter audit cycles with stronger findings
Evidence collection is automated, and auditors receive organized workpapers focused on findings that require judgment. Audit cycles shorten because documents are already gathered and cross-referenced. Continuous monitoring between audits surfaces issues before they become compliance gaps.
Results that speak for themselves
75%
Audit cycle reduction
Automated evidence collection and testing
99.1%
Per-control accuracy
Every control tested individually
18K+
Per-control accuracy
RAK Ceramics production deployment
Legal
A contract reviewed against the wrong jurisdiction can void the indemnification cap you drafted. Cite a precedent that was overturned between research and filing, and the brief goes out arguing law that no longer exists. Miss a document in discovery and the firm eats the sanction. In legal, ground truth is the controlling authority or clause library the work depends on. ActionAI scores every automated contract review and brief check against that rule, and high-confidence decisions release without a lawyer opening the file. Below threshold, ExEx (Explainable Exceptions) routes the file to a lawyer with the controlling authority and brief passage attached, so they open the case knowing what to verify.
Related Use Cases
Frequently asked questions
Contract review, citation checking, discovery screening, and any repeatable workflow where an AI is drafting or reviewing against a known standard. Each automation deploys independently, so firms can start with one process and expand.
Every decision carries a confidence score, and anything below threshold routes to a lawyer with full context rather than getting signed off automatically. This is Explainable Exceptions — ActionAI's patent-pending reliability protocol.
No. It connects to whatever system holds the master — document management, research platform, billing — via API or data export, and runs the verification on top.
No. A scoping call runs 1-2 hours to identify the highest-ROI process, and a free pilot delivers results in days to weeks, not the 13-month enterprise AI average.
Yes. UAE Courts runs ActionAI underneath every verdict, scoring citations and exhibits — it's the first automation on record to outperform human judges, saving 240+ hours per verdict with a 10%+ accuracy gain.