The real power of finance data, and the AI built on top of it, starts from the bottom up. A strong data foundation begins with uniform naming, structured onboarding, and disciplined entry at the transactional level. Companies that build from clean, consistent inputs will unlock faster closes, better insights, and true AI leverage. Those that don’t will spend their time fixing what better design could have prevented.

NetSuite has unveiled NetSuite Next, a major AI-driven evolution of its ERP platform that embeds conversational AI, agentic workflows, and natural language search directly into the suite. Building on three earlier AI showcases we’ve covered at TheCFOai.com, this release marks NetSuite’s transition from incremental feature updates to a robust AI-native ERP experience, one powered by standardized, governed data that delivers more accurate and context-aware insights than multi-m

AI cannot currently scale to meet the demands of high-volume, low-error-tolerance business processes. Despite the Agentic AI and automation, foundational limitations remain: AI’s probabilistic nature inherently produces variance, which compounds across complex workflows. From payroll to compliance, enterprise use cases demand precision, not educated guesses. Until models overcome these structural issues, AI will remain most valuable in low-volume use cases.

QuickBooks AI Agents: Smart Enhancements, Not a Full Virtual Team As a longtime QB user, I was eager to explore Intuit’s newly announced AI agents. These tools are meant to automate core business workflows like invoicing, transaction categorization, financial analysis, and customer engagement. The marketing describes them as a “virtual team” — but after watching a few hands-on reviews and testing some of the features myself, I’d describe them more as smart enhancements than a

Elkar, a new AI add-on for Excel, exceeded my expectations where other AI tools fell short. From handling consolidations correctly to reformatting a 200+ row P&L, it showed real accounting nuance. Elkar proves how AI can save finance teams time inside their most familiar tool.

A real-world EASY test of AI tools for gathering public company financials reveals major accuracy issues. Perplexity and Gemini both failed to produce reliable data, while ChatGPT performed best. A cautionary look at how generative AI handles earnings reports and SEC filings.

A couple of months ago, I visited Oracle’s headquarters in Israel to see how they’re integrating AI into NetSuite ERP. The room was packed- AI is changing everything. Here’s takeaway — AI is only as good as the data you feed it. That’s why I’m such a believer in centralized ERPs like NetSuite. When your finance, inventory, CRM, HR, and operations data all live in one clean, connected ecosystem, AI can actually produce meaningful insights.

Using ChatGPT Super CFO agent to analyze financial statements and get really good insight and answers.

About the Author: Niv Nissenson is the author of TheCFOai.com, where he writes about the rapidly evolving intersection of AI and finance. He is also the Founding Partner of Added Capital and brings over 15 years of CFO experience in the U.S. and Israel, including leading two companies through IPOs. Niv holds an MBA from the Hebrew University of Jerusalem and a BA in History and Political Science from Tel Aviv University. Married with three children, he has a strong interest i