Why AI Adoption Surveys Don’t Reflect Reality in Financial Services
March 31, 2026A closer look at what surveys actually measure - and why adoption, usage, and impact are often conflated
We recently carried out research into the use of artificial intelligence and data analytics within Finance & Treasury processes at financial institutions, including analysis of the leading solution vendors in this field.
This short article in our Distinctive Insights Intelligence Vault series provides an overview of one of the key vendors in this field. Our aim in publishing this content is to help finance professionals further understand how artificial intelligence and data analytics are being applied to support key business processes within financial institutions.
Content sourced as of April 2025.
Focus Area: Automation of cash management, forecasting and analysis for corporate treasury
Head Office: United States
Website: https://www.trovata.io
Founded Date: 2016
Total Funding Received: USD 57.55 mn
Products and Services Overview:
Trovata supports the aggregation and normalization of a company’s financial data through direct API connections to banks, business & accounting systems, and external markets. This facilitates the automation of cash management, reporting, forecasting, and analysis.
How the Company Leverages AI and Data Analytics:
Following the aggregation of financial data via its APIs, Trovata uses machine learning to drive cash flow forecasting to create a forecast baseline, identify trends, and inform business decisions. Its AI technology forecasts future cash positions and users can assess the model’s predictions based on the most likely scenario from historical data. Its ‘Trovata AI’ module uses Generative AI to provide cash flow insights and intelligence on demand using natural language.
Example Clients & Partners:
Capital One Ventures
J.P. Morgan
KeyBank
Mastercard
National Australia Bank
State Street
SWIFT
Truist Bank
Wells Fargo
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A closer look at what surveys actually measure - and why adoption, usage, and impact are often conflated