Professionals Turn to Downloadable Financial Model Templates as Artificial Intelligence Tools Fall Short

New research finds AI modeling adoption is paced by governance gaps and verification challenges, driving demand for professionally built templates.

ZURICH, SWITZERLAND, September 1, 2026 /EINPresswire.com/ -- Adoption of artificial intelligence in financial modeling is being paced by assurance, not capability, according to a July 2026 report from the Infrastructure and Project Finance Association's Special Interest Group on Artificial Intelligence in Financial Modelling, chaired by Forvis Mazars. The finding reflects a broader industry shift: despite rapid advancement in automated tools, professionals are returning to downloadable financial model templates that offer the auditability, industry specificity, and governance controls that artificial intelligence platforms currently lack.

The Forvis Mazars report, drawing on roundtables with 57 participants across banks, rating agencies, and government agencies in Europe, the Middle East, and Africa (EMEA) and Asia-Pacific (APAC), identifies a critical gap between artificial intelligence capability and practical deployment. "A more capable artificial intelligence model is not automatically a more deployable tool," said the report. "In financial modelling, practical value depends as much on integration, governance and control as it does on raw artificial intelligence performance." The research concludes that meaningful embedding of artificial intelligence into live financial modeling workflows remains limited.

The limitations extend beyond governance frameworks. A May 2025 analysis published in Financial Management Magazine by Liam Bastick, Fellow of the Chartered Institute of Management Accountants (FCMA) and Chartered Global Management Accountant (CGMA), tested leading artificial intelligence tools including ChatGPT and Microsoft Copilot on actual financial modeling tasks. The findings revealed that artificial intelligence-generated models produce hard-coded outputs rather than dynamic formulas, requiring users to manually rebuild models to verify calculations. "In order to automate a model and build and rely on it, you will have to rebuild it first to check it," Bastick noted. "That seems to defeat the entire purpose of the task."

Additional testing documented recurring structural issues including illogical period treatment, inconsistent calculations, and forced unnecessary consistencies across periods. The research noted that artificial intelligence tools struggle with one-off calculations, such as terminal values in discounted cash flow analysis or final loan repayments, preferring instead to repeat computations across all periods regardless of actual business logic.

These limitations carry real consequences for regulated institutions. The Forvis Mazars report highlights "shadow artificial intelligence" risk, informal use of consumer artificial intelligence tools that produces outputs lacking audit trails. Once reintroduced into company models, these outputs provide no traceability of how they were produced or what assumptions underlie them. For banks and regulated institutions, participants were clear that such workarounds are not acceptable.

The findings align with growing demand for professional financial model templates that balance sophistication with transparency. Platforms offering industry-specific templates provide structures built to recognized standards, with visible formulas, auditable assumptions, and documentation that supports stakeholder review.

"Professionals need modeling tools they can explain to banks, investors, and board members," said a spokesperson for eFinancialModels. "When the model's logic is transparent and its assumptions are visible, you can defend every number. That credibility matters in funding conversations."

eFinancialModels offers 3,100+ financial model templates spanning industries from real estate and software-as-a-service (SaaS) to healthcare and manufacturing. The templates are designed for immediate use with customizable assumptions, professional formatting, and comprehensive documentation. Resources including 7 Key Tips for Working With Financial Model Templates help users maximize template utility.

The platform serves diverse professionals, from startup founders preparing pitch decks to investment bankers conducting valuations, who require sophisticated analytical frameworks without building from scratch. Templates range from free basic models to premium comprehensive solutions, supporting applications including discounted cash flow valuation, leveraged buyout (LBO) analysis, startup financial planning, and industry-specific operational modeling.

As artificial intelligence tools continue to evolve, industry observers expect the gap between capability and deployability to narrow. However, the Forvis Mazars report emphasizes that foundational modeling expertise requires active maintenance rather than one-time acquisition. For practitioners, the immediate priority is tooling that supports both current workflow needs and long-term skill development.

Professionals seeking financial model templates can explore industry-specific options at eFinancialModels.com.

Communications Team eFinancialModels
eFinancialModels
info@efinancialmodels.com
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