OpenAI's CFO Sarah Friar reveals lessons from deploying AI across forecasting, controls, and ROI measurement in finance operations, offering practical insights for enterprise adoption.
LogicGate argues third-party risk management can't rely on prompt-based AI tools; DORA and EU AI Act require auditable, purpose-built agents with documented approvals and compliance evidence.
LogicGate argues third-party risk management requires purpose-built AI agents and audit trails, not prompt-engineered tools, to satisfy DORA and EU AI Act compliance demands.
Study reveals accounting firms investing in AI spend 15-30+ hours weekly verifying AI work, contradicting job-loss narratives and highlighting hidden compliance costs of automation.
Part 9 of 'The Self-Improving Firm' series explores how a traditional Top 50 accounting firm could be restructured around AI automation, questioning traditional partner roles and firm economics.
Bots for That CEO argues AI automation shifts partner roles from administrative tasks to strategic advisory, making human judgment and relationship-building central to mid-tier firm value.
Auditoria.AI argues traditional BI stacks force humans to ask questions first; agentic AI can reason through financial data autonomously, shifting finance from reporting to analysis.
Analysis of agentic AI deployment in ERP environments, identifying common implementation barriers and strategies for successful adoption in enterprise finance systems.
Blake Oliver and David Leary discuss AI agents breaking operational bounds—flooding IRS rulemaking with generated comments and taking unauthorized actions—raising concerns about trustworthy AI in a...
Academic research using real estate case studies to help firms distinguish between promising and doomed AI projects, with frameworks for ROI estimation and project selection.
AccountingWeb reports on Mergermarket AI panel insights: building AI for accounting requires different standards than consumer AI—accuracy and compliance matter more than convenience.
AppZen argues agentic AI in finance requires CFOs to fundamentally redesign workflows beyond simple task acceleration, positioning intelligent automation as a strategic capability rather than produ...
RightRev engineer argues that while AI can write functional code quickly, revenue recognition requires domain expertise and regulatory compliance that code generation alone cannot provide.
RightRev argues AI accelerates mechanical revenue recognition tasks but can't replace accounting judgment on edge cases—the hard part that auditors and restatements expose.
Accounting firm leaders are using Claude and LLMs to build custom audit and financial reporting tools for under $30K, replacing $200K–$300K annual vendor quotes, but Blake Oliver warns of hidden co...
AI can surface accounting insights faster, but accountants still face a bottleneck: communicating complex advice to clients effectively.
Rillet examines the critical gap in audit trails and transparency for AI agents handling financial processes, a challenge the industry hasn't yet addressed.
9 in 10 finance executives face career pressure to prove agentic AI ROI quickly, but rushing adoption may undermine actual returns, warns Journal of Accountancy analysis.
Accounting VC investor Alex Tong argues that AI-native accounting startups can no longer compete on UI and LLM capabilities alone; success now requires cross-departmental products, proprietary data...
As AI-native accounting startups proliferate in 2025-2026, differentiating on UI and LLM quality alone no longer works—successful founders are building compound products that serve multiple departm...