AI agents fail consistency tests crucial for audit, study finds

AI agents reverse-engineer business rules from legacy enterprise code

HQ arXiv: AI + Accounting arXiv · 5d ago · 1 min read

Researchers propose an agentic framework that autonomously generates Business Requirements Documents by reverse-engineering source code and configuration files, reducing manual work during system m...

Process Mining Agents Bridge Event Logs to Governed Business Actions

HQ arXiv: AI + Accounting arXiv · 16d ago · 1 min read

Researchers propose event-to-action process mining framework enabling AI agents to evaluate proposed actions against organizational controls, risk, and authority—extending traditional process minin...

Benchmark reveals agentic AI models fail repeatedly at accounting tasks

HQ arXiv: AI + Accounting arXiv · 1mo ago · 1 min read

AgentRelBench, a new reliability framework, tested nine LLM models on accounting operations and found systematic failures in irreversible tasks—exposing that single-run audits miss critical agent d...

Provenance tracking framework ensures AI agents meet audit requirements

arXiv: AI + Accounting arXiv · 1mo ago · 1 min read

Research proposes Matrix, a causal-state layer for agentic workflows that enforces governed execution with inspectable provenance—critical for institutional settings like accounting where correct o...

Manual audit testing creates growing risk as audits lag behind digital accoun...

AccountingWeb RSS · 1mo ago · 1 min read

External audits rely heavily on manual testing despite automation advances, creating efficiency and risk gaps as accounting systems become increasingly digital.