COLUMBIA, Md. – November 06, 2026 -- Some 82% of finance team members at U.S. small and midsize companies say AI would deliver more value if their financial data sat in a single system, according to a survey of nearly 200 business and finance professionals by Accounting Seed.
The Salesforce-based accounting platform vendor published the findings in its report, The Hidden Workload Behind AI Productivity in Finance. The data shows AI time savings are being offset by new tasks, output checks and governance work.
New responsibilities absorb 81% of reported time savings
While 81% of respondents say AI has saved them meaningful time, 70% say it has handed them new responsibilities without removing existing ones. Much of the saved time goes to that new work.
Quality control adds to the burden. 54% often have to correct AI-generated outputs before use, and 48% worry AI is pulling from the wrong data sources. Another 45% spend time cleaning up data just to make AI tools usable.
Security concerns create governance work for 66% of respondents
66% say financial data security concerns have created extra governance and policy work around AI. The share rises to 74% among finance leaders.
Executives report more upside than their teams
77% of executives say AI has freed up time for higher-value work, versus 61% of finance team members. 46% of team members say AI has not delivered the productivity gains they expected, compared with 28% of executives.
Nearly all executives surveyed (98%) say they use AI in finance to increase team output, not reduce headcount. Accounting Seed argues that capacity never reaches the business when staff spend saved time preparing data, correcting results and managing new governance requirements.
Accounting Seed CEO links AI accuracy to data consolidation
"When your financial data lives in six places, your AI has six places to be wrong," said Nasser Chanda, CEO of Accounting Seed.
CTO Ryan Sieve said that when accounting and operational data share one platform, AI can draw on information across the business and understand its context without manual assembly. He added that access governed by existing permissions and trust boundaries lets companies expand AI use without building separate controls for each new tool.
The full report covers executives, finance leaders, finance team members and Operations & IT professionals. It examines where AI delivers value and where it creates new work.