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Tipalti Unveils Significant Insights on AI Trust in Finance Teams

On December 10, 2025, Tipalti, a leading AI-driven finance automation platform, announced the release of a transformative report titled The State of AI in Finance: Exploring the AI Trust Gap. This report sheds light on the evolving landscape of finance teams and their growing reliance on artificial intelligence. While nearly all respondents—from a survey of 500 finance professionals across the U.S., U.K., and Canada—acknowledge the importance of AI in their operations, a notable concern regarding trust and transparency hampers widespread adoption.

Understanding the AI Trust Gap

The report encapsulates a fundamental hurdle in the integration of AI within finance: the so-called 'AI Trust Gap.' This gap arises as finance teams express a keen interest in the efficiencies AI can offer but hesitate to implement these technologies due to fears around oversight, data quality, and the overall readiness of their organizations to incorporate advanced AI solutions.

Tipalti's report highlights that while 98% of finance professionals consider AI crucial for enhancing their operations, more than half remain cautious regarding its implementation. A stark realization emerges—despite the enthusiasm surrounding AI’s potential, trust remains a significant barrier to operationalizing these technologies effectively.

The Benefits of AI Adoption

For finance teams that have successfully adopted AI technologies, the results speak for themselves. Those regularly utilizing AI report tangible improvements:

• - Accuracy and Productivity Improvement: 98% recognized enhancements in the quality of their work.
• - Improved Decision-Making: 97% feel that AI contributes to better-informed choices.
• - Cost Efficiency: A robust 96% reported significant cost savings from AI integrations.

Such benefits demonstrate that finance professionals are not merely supporters of AI but are witnessing its substantial contributions to their daily operations. Common uses include workflows for financial analysis (63%), reporting (62%), forecasting (58%), and fraud detection (57%). AI is freeing finance teams from monotonous tasks, allowing them to focus on high-level strategic initiatives that drive business growth.

Addressing the Trust Concerns

Despite these advantages, a concerning 58% of respondents voiced worries about the risks related to AI implementation. Major barriers cited include:

• - Data privacy and security concerns
• - Difficulties in integrating with legacy systems
• - A lack of in-house expertise to leverage AI effectively.

These factors are expanding the 'AI Trust Gap' between organizations that successfully embrace AI and those still seeking to establish a robust foundational framework for its effective use. As Manish Vrishaketu, Chief Customer and Operating Officer at Tipalti, articulates, “Trust is the threshold between incremental automation and substantial transformative success.” The necessity of robust oversight and transparent operations is clearer than ever as organizations navigate this critical shift.

A Future Built on Trust

Looking ahead to 2026, the report concludes that finance teams must prioritize the operationalization of trust in AI. This will require an emphasis on governance, training, transparency, and the enhancement of data quality. As AI technologies become more integrated into functions like compliance and strategic planning, ensuring robust oversight frameworks will be paramount.

Finance professionals anticipate that AI will revolutionize many core functions within their teams—ranging from advanced fraud prevention techniques to predictive analytics that enhance decision-making processes. To see this vision manifest, organizations are demanding more foundational investments in AI governance, clearer accountability processes, improved data integrity, and comprehensive role-specific training.

Ultimately, Tipalti's report marks a pivotal moment for the finance function. The promise of AI is evident, but realizing its full potential hinges on building and operationalizing trust. As firms look to gain a competitive edge in 2026 and beyond, standardizing AI oversight and ensuring that human insight remains central will be critical in transforming AI from a mere concept into a cornerstone of strategic growth and compliance.

For more details, you can access the full report of The State of AI in Finance: Exploring the AI Trust Gap here.