On September 25, 2026, FinteqHub, a payment orchestration platform, announced the launch of the AI Advisor tool designed to optimize payment routing solutions. During the tool's beta testing with a sample of clients, it was shown that AI Advisor reduced the number of blocked and declined payments by 23% compared to the baseline metrics of the same clients from the previous quarter. AI Advisor operates on FinteqHub's existing smart routing infrastructure and analyzes data on payment providers' performance, routes, and transaction outcomes to generate recommendations for payment operations teams. The system helps determine which provider should be prioritized for a specific type of transaction, when to retry a failed payment, when to change the route, and which risk rules may be blocking legitimate transactions.
The tool addresses a core challenge of payment infrastructure: simply connecting to multiple providers does not guarantee high throughput. The result depends on the accuracy of routing each transaction and the operator's response after an initial failure. Every legitimate payment declined due to inefficient routing or overly strict risk rules represents a potential loss of revenue. "The next significant growth opportunity in payment acceptance lies in the quality of decisions made between connected providers. The same payment may be declined by one provider and successfully processed by another. The goal of AI is to quickly identify such patterns and provide the team with specific solutions without turning the payment infrastructure into an opaque black box," – stated Vadim Drozd, CEO of FinteqHub.
AI Advisor does not function autonomously; it serves as a kind of assistant for payment processing teams, demonstrating the rationale for each recommendation alongside the recommendation itself. The specialist retains the final decision, with the ability to accept, reject, or modify the proposed action considering additional business context. FinteqHub plans to complete the full launch of AI Advisor for its client base by October 1, 2026, with the intention to expand the number of analyzed scenarios and use accumulated data to improve the accuracy of recommendations over time.
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