NetSuite’s recent Claude integration shows where AI actually works in finance. By dragging receipts into Claude, users can automatically generate expense reports and mileage calculations directly inside NetSuite—with full audit trail and human review. It’s a practical example of AI supercharging individual tasks, not replacing systems, and embedding intelligence where governance already exists.

AI adoption in Asia-Pacific’s digital payments and e-commerce markets is accelerating—led by China, India, and Southeast Asia—but the pace is uneven. A new ResearchAndMarkets report shows that while AI is driving efficiency and competitiveness, data quality, governance, and infrastructure remain the biggest constraints. As the region evolves, the winners will be those that build AI on structured, well-governed data rather than layering it onto fragmented systems.

Oracle’s Q2 FY26 results showed NetSuite Cloud ERP revenue reaching $1.0B, up 13% year over year—outpacing Oracle’s broader SaaS growth. This steady performance comes as Oracle’s stock has pulled back sharply from its September peak, highlighting the contrast between market volatility and NetSuite’s consistent execution as a core cloud ERP platform.

NetSuite was named a Leader in two 2025 Gartner Magic Quadrants — a meaningful recognition at a time when AI is reshaping finance and ERP. Gartner evaluates vendors on Completeness of Vision and Ability to Execute, and NetSuite’s strength comes from its unified, all-in-one architecture. As I argue in this piece, AI only delivers real insight when data is normalized, consistent, and connected — something NetSuite enforces by design. With embedded AI, open model integration, an

The AI Trial Balance Trial: Chat GPT low effort failure, Gemini won't even try and Claude tried hard but failed harder. The results were clear: general-purpose AI still can’t handle even basic accounting reporting reliably.

When your CEO “chats with the data” and celebrates a great quarter that never happened, you’ve got a data problem — not an AI problem. AI doesn’t fix bad data; it amplifies it. This article explores what good data actually looks like, and why deliberate, consistent data design is the real foundation for AI-ready finance.

Tipalti’s new Global Finance Outlook report, based on a survey of 2,300 finance professionals, reveals that only 7% have fully automated AP operations, while 83% report higher workloads and 66% more manual work. Despite strong belief in AI’s potential, adoption remains slow — a reminder that before AI can transform finance, teams must first build structured, unified data foundations.

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

Tipalti has raised $200M and rolled out new AI features, from natural language reporting to predictive bill approvers. While these enhancements make the platform easier to use, they feel more incremental than transformative. For CFOs, Tipalti remains a strong payables tool. But there's only so much you can do as an AP module.

Google’s new BigQuery natural language feature for querying is a leap forward. These tools let users explore complex data relationships and now, you can do it using plain English instead of SQL.

NetSuite’s $1B milestone highlights more than just Oracle’s momentum it spotlights a critical tension in today’s AI-driven enterprise tech: the tradeoff between data quality and feature specialization. While standalone tools often race ahead with the flashiest AI features, they leave companies juggling fragmented data and integration headaches. NetSuite and ERP platforms like it offer a different path: unified, structured data across business functions that can power strategi

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

AI tools like ChatGPT and Gemini can sound confident — even when they’re wrong. One time, ChatGPT told me July 1, 2025 was a Monday (it was actually a Tuesday). These so-called “hallucinations” can be far more subtle in finance, from misquoting accounting rules to fabricating data. For CFOs, the takeaway is clear: AI outputs are a useful draft — but they always require verification.

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.

Getting bank data into NetSuite can be a tedious task for finance teams—especially with international statements. In this test, ChatGPT showed real promise by successfully converting U.S. and Israeli bank statements into ERP-ready format, outperforming Gemini, which refused to engage. A glimpse into how AI could ease a very manual part of finance.

I tested ChatGPT's ability to perform a basic accounting consolidation. Despite confident promises and reasonable initial questions, the AI failed to eliminate subsidiary equity and investment accounts - fundamental consolidation requirements.

This post explores how ChatGPT and a specialized accounting agent handle increasingly complex US GAAP questions—from basic revenue recognition to nuanced bill-and-hold scenarios—highlighting differences in accuracy, source interpretation, and the importance of "trust but verify" when using AI in financial analysis.