AI Checks Contracts: New Services in Alfa-Business
Two AI services have been added to the Alfa-Business online banking platform, automating the processing of foreign trade documents and the verification of payments under government contracts. The tools are designed for Alfa-Bank’s large and midsize corporate clients.
Artificial intelligence is now being used in regulated operational workflows. It checks legally significant documents for errors and compliance issues, sharply reducing the amount of work employees have to perform manually.
Intelligent Verification
The first service independently classifies foreign trade documents, extracts structured data and fills out banking forms. When partner banks introduce new formats, the system can adapt to them in less than two weeks without extensive code changes. The second AI tool compares a payment’s stated purpose with the terms of a government contract and its cost estimate, instantly flags discrepancies, and passes an already verified result to a professional. That reduces the share of manual operations and speeds up document processing by 30%.
Corporate clients also benefit from faster settlements. In practice, AI increases the throughput of the financial infrastructure supporting import-export transactions and government procurement. The models deployed by Alfa-Bank also align with the Bank of Russia’s push to automate document workflows while retaining risk-based oversight.
Algorithms Take Over the Routine
AI-powered digital services are part of the bank’s broader strategy. In February 2026, Alfa-Bank became the first bank in Russia to launch its own AI agent for foreign exchange compliance. The agent extracts data from contracts, checks it against regulatory requirements and prepares a conclusion, cutting processing time from two hours to one minute. It can handle up to 2,700 contracts per day. “This does more than dramatically increase speed. It also delivers an unprecedented level of oversight quality, minimizes legal risks and allows our professionals to focus on the most complex cases,” Nino Kodua, chief operating officer at Alfa-Bank, said at the time.
By the end of this year, the bank plans to deploy a full multi-agent system in which coordinated models will support a transaction at every stage – from initial validation through final approval.
Humans, however, are not being removed from the process. The Bank of Russia has recommended retaining final employee approval for transactions when AI is used in critical processes. That is creating a durable model in which algorithms handle routine work and preliminary analysis, while humans focus on exceptional cases and compliance risk management.
From Digitization to Automation
Financial document processing technologies have been evolving in stages. Initially, the main goal was to digitize document workflows. Automation came next. Tools such as TESSA valyutny kontrol (TESSA Foreign Exchange Compliance) from Sintellekt automatically routed incoming documents to foreign exchange compliance staff. They streamlined file collection, storage and routing without analyzing the documents’ semantic content.
In 2024, Alfa-Bank worked with Russian developer Smart Engines to introduce payment-detail recognition from photos of invoices, an early step toward reducing reliance on manual data entry. In 2025, the bank launched its own neural network and computer vision engine capable of processing documents in seconds. That same year, SberService and Diasoft introduced Document AI for foreign trade workflows. Six months ago, Alfa-Bank launched an AI agent for foreign exchange compliance that goes beyond extracting data: it checks information against regulatory requirements and prepares analytical conclusions. Now the bank has deployed AI services for foreign trade and government contracts.
Where the Segment Goes Next
Algorithms have already learned to reconcile data from disparate sources and generate preliminary recommendations for business actions. In 2027, intelligent verification tools are expected to become more deeply integrated with foreign exchange compliance and contract financing modules, while multi-agent workflows will account for a growing share of deployments.
Further automation of complex compliance and operational processes in banking is creating steady demand for enterprise AI platforms, specialized semantic document analysis modules and tools that help companies meet regulatory standards. These technologies are set to become the foundation of a fundamentally new financial environment for businesses.
