FAB (Finance Agents Benchmark) tests AI agents on financial due diligence tasks; agents find relevant facts but struggle with complete, reliable analysis—expanding to more companies and models.
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Researchers introduce BigFinanceBench, a 928-item benchmark designed to evaluate financial-research AI agents on auditability and workflow transparency—measuring not just final answers but the deri...
Docyt automates manual on-the-books pickup tracking for hotel revenue managers, replacing multi-tab spreadsheet workflows with AI-driven data consolidation to enable real-time forecasting and catch...
Audit of frontier LLMs reveals shallow document-reading ability: models score well on standard benchmarks but accuracy drops sharply when evidence is buried, with increased hallucinations, tool cal...
Rivian deployed AWS Bedrock AI agents to automate accrual tracking for purchase orders, eliminating 15+ days of manual work per financial close—a concrete efficiency gain in corporate accounting op...
Researchers propose VST, a typed messaging protocol for AI agents that creates verifiable, replayed audit trails in financial alpha discovery workflows, addressing traceability gaps in LLM-based mu...