Intuit has introduced artificial intelligence (AI)-centered updates to its middle market financial platforms, QuickBooks Online Advanced and Intuit Enterprise Suite.
“Finance teams need AI they can stand behind when asked how a number was reached,” Ashley Still, Intuit executive vice president and general manager for small business and mid-market, said in a news release announcing the new offerings Wednesday (Aug. 12).
“That’s true whether you’re a high-performing business on QuickBooks Online Advanced or a complex, multi-entity organization on Intuit Enterprise Suite,” Still said. “Our latest innovations give finance leaders the industry-specific depth and instant insights they’ve been asking for, built into the way they already work.”
Among the new additions is Intuit Intelligence Chat, a conversational interface that lets users query business data and trigger workflows using plain language. For QuickBooks Online Advanced, Intuit is now including bill pay, payments and AI-driven bookkeeping in the core subscription. This includes a continuous reconciliation service called “Books Upkeep” that automates transaction resolution.
The launch of these tools comes at a time when the “distinction between AI as a productivity feature and AI as operating infrastructure is starting to define the middle market’s path forward,” as PYMNTS wrote last month. “AI does not remove uncertainty, but it can reduce the cost of responding to it.
The report also included some insights shared with PYMNTS in March by Ben Ellis, senior vice president and global head of Large and Middle Markets at Visa Commercial Solutions.
He said that one finding from the most recent Working Capital Index should reframe how finance leaders view their operations: Among low-performing firms that adopted AI for working capital management, cash flow unpredictability fell from 68% to 17%.
“The middle market AI story is therefore becoming less about enthusiasm and more about execution,” the report added. “Some firms are beginning to generate measurable returns through automation, faster decision-making and improved forecasting. Others remain stuck in pilot programs, fragmented deployments or broad productivity initiatives with unclear financial outcomes. The companies most likely to enjoy returns are the ones beginning with a defined operating problem, not a generalized desire to ‘use AI.’”