Signal Only 21% see clear measurable value from AI and only 14% have fully integrated agents
Summary
Deloitte finds a sharp drop-off between using AI in finance and getting results from it. Among respondents who actively use AI solutions, only 21% believe the investment has already produced clear and measurable value. An even smaller group, 14%, has reached the next step of fully integrating AI agents into specific parts of the finance function. These figures contrast with the 63% who report full deployment and active use. The report reads the gap as a sign of how hard it is to move from pilot projects to AI woven into daily operations. It also observes that enabling agents to handle specific tasks is still a relatively new frontier across industries.
Classification
Main topicAI & Computing
Secondary topicsMacroeconomy & Finance
Region menusGlobal
Occurrencescope:global
Impactscope:global
Time horizon0-3 years (2026-07-26)
Published2025
Last updated2026-09-30 12:56 KST
Evidence 4
- Finance Trends 2026: Navigating the expanded scope of finance Deloitte Development LLC (Deloitte Insights, CFO Program) page=11;section=Trend 4: The journey to agentic insights—Many finance teams embrace AI, but ROI and agentic implementations often lag 2025 accessed 2026-07-26
- Finance Trends 2026: Navigating the expanded scope of finance Deloitte Development LLC (Deloitte Insights, CFO Program) page=12;section=Trend 4: The journey to agentic insights—Many finance teams embrace AI, but ROI and agentic implementations often lag / Figure 6 2025 accessed 2026-07-26
- Finance Trends 2026: Navigating the expanded scope of finance Deloitte Development LLC (Deloitte Insights, CFO Program) page=12;section=Trend 4: The journey to agentic insights—Many finance teams embrace AI, but ROI and agentic implementations often lag / Figure 6 2025 accessed 2026-07-26
- Finance Trends 2026: Navigating the expanded scope of finance Deloitte Development LLC (Deloitte Insights, CFO Program) page=12;section=Trend 4: The journey to agentic insights—Many finance teams embrace AI, but ROI and agentic implementations often lag / Figure 6 2025 accessed 2026-07-26
Part of trends 1
Directly linked issues 0
No objects.
Relation types: supports
Public id: fm-1c386571027e
