TLDR: New research from Deloitte indicates that while optimism for agentic AI is high among finance and accounting leaders, a lack of trust, stemming from concerns over transparency, output accuracy, and risk mitigation, is the primary obstacle to widespread adoption. Organizations are struggling to scale AI from pilot projects to enterprise-wide transformation, despite recognizing its potential for automation and predictive analytics.
A recent report from Deloitte reveals a significant challenge in the widespread adoption of agentic Artificial Intelligence (AI) within the finance and accounting sectors: trust. Despite a prevailing sense of optimism among leaders in these fields regarding the potential of agentic AI, new research pinpoints trust, rather than technological limitations, as the foremost barrier to its successful implementation and scaling.
The findings indicate that concerns among finance and accounting professionals largely revolve around the transparency of AI operations, the accuracy of its outputs, and the effective mitigation of associated risks. These issues are hindering organizations from fully embracing and integrating AI solutions, even as they acknowledge the immense potential for automation and predictive analytics to revolutionize their operations.
This sentiment is echoed across various industries, as highlighted in a broader AI news roundup for the week of August 1, 2025. For instance, EPAM’s research in retail and consumer packaged goods (CPG) also points to scaling and trust as key hurdles, with only 26 percent of the most advanced firms successfully delivering AI to market from pilot projects. Similarly, a Stack Overflow Developer Survey for 2025 found that while 84 percent of developers use or plan to use AI tools, only 33 percent trust their output, with skepticism particularly strong among experienced professionals.
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- Agentic AI Adoption Reaches One-Third Amidst Significant Integration and Governance Hurdles
- Deloitte Integrates Advanced Generative AI to Transform Auditing Practices
Deloitte’s insights underscore a critical need for enterprises to focus on building robust governance frameworks, enhancing transparency, and developing clear risk management strategies to foster greater confidence in AI systems. Overcoming these trust barriers is essential for organizations to move beyond experimental AI deployments and achieve enterprise-wide transformation and value creation through scalable AI initiatives.
