The AI-Powered Finance Stack of 2026
Only 5 to 10 percent of AI's potential value is currently being utilized, according to Dario Amodei, CEO of Anthropic, who shared this insight during a conversation with Marc Benioff at Dreamforce this month. This gap highlights a significant opportunity for finance teams to leverage AI more effectively. The author, an experienced founder, outlines the tools that are likely to shape the finance stack by 2026, categorizing them by function and highlighting emerging trends.
The biggest shift in AI for finance is the rising role of assistants as the primary interface. Major players like Salesforce, Xero, and Intuit have integrated their platforms with AI assistants, allowing users to access and act on financial data directly within these tools. For example, Salesforce and Anthropic introduced Claudeforce, while Intuit partnered with both OpenAI and Anthropic to integrate QuickBooks with ChatGPT and Claude. OpenAI reported that its own finance team used Codex to process five times more contracts with the same team size, showcasing the efficiency gains possible with AI.
Another key trend is the development of AI-native enterprise resource planning (ERP) systems, which have attracted nearly half a billion dollars in investment over the past year. Companies like Campfire, Rillet, Basis, and Ramp are leading this charge, promoting the idea that finance teams should focus on reviewing exceptions rather than processing every line. Additionally, startups are targeting less glamorous but critical areas such as sales tax, payroll filings, and anti-money-laundering reviews, with companies like Numeral and Bretton AI raising significant funding to automate these processes.
The author advises building a finance stack in layers, starting with an assistant for the team, followed by a suitable ledger, a spend platform, and then tax, payroll, and planning tools as needed. They also emphasize the importance of asking vendors critical questions about AI reliability, audibility, and data portability to ensure the tools meet the stringent requirements of finance operations.