Expert.ai’s AI suite is already in production at 10 top banks in Italy and by global AML organizations, which report more than 90% screening accuracy. Customers cite a 90% reduction in AML false positives, up to 70% time savings per alert in KYC screening and an overall 40% improvement in customer satisfaction.
As banks move from experimentation with generative AI toward production-grade AI agents, the ability to combine autonomy with control, traceability and domain understanding is becoming increasingly important. Expert.ai addresses this challenge through a semantic control and neurosymbolic AI Mesh architecture that combines knowledge graphs, deterministic linguistics, business rules and language models.
How Agentic AI in Banking Has Evolved So Far
“According to the 2026 Gartner CIO and Technology Executive Survey, ‘the number of banks and investment firms deploying AI agents is set to double, with 41% of banks and 38% of investment service firms planning deployments in the next 12 months.” As Gartner puts it, “The focus has shifted from “can we automate a workflow?” to “how do we engineer a trusted, scalable digital workforce that transforms the business model and delivers measurable value?”
Expert.ai Neurosymbolic, Composite AI Approach
Expert.ai’s approach to applying agentic AI to complex banking processes, combining generative AI with semantic intelligence, symbolic reasoning and domain-specific knowledge, enables more controlled, explainable and efficient AI-driven automation. Rather than relying on a large language models to handle every step of a process or treating it as the universal engine for every task, Expert.ai’s architecture determines where symbolic reasoning, business rules, knowledge graphs or language models are most appropriate. Symbolic agents first classify content, resolve entities, apply policy rules and retrieve relevant evidence; a language model is used only when language generation is genuinely needed; and a final symbolic check links every output back to its source evidence. This gives banks greater control over what AI agents do and makes their actions easier to understand and trace, also reducing unnecessary use of large language models, helping organizations manage the cost of running AI at scale.
Expert.ai’s vertical AI platform supports agentic applications across financial crime, risk and compliance, providing domain-specific language models (DSLMs) and AI capabilities to streamline perpetual KYC, dynamic risk understanding, regulatory change management, adverse-media screening, sanctions and politically exposed person (PEP) screening, and the detection of material customer changes. The platform also supports complaint management, credit underwriting, intelligent document processing and intelligent customer engagement through natural language understanding, proactive guidance and transactional support.
“We are pleased to be recognized as a Coolest Vendor in the Gartner Coolest Vendor Innovations in Agentic AI for Banking report. We see this as a reflection of the trust our customers place in us to address some of the most complex challenges facing the banking and financial services industry. Their continued choice validates our strategy, our differentiated solutions, and our ability to deliver the reliability and business value required to bring AI into mission-critical environments,” said Umberto Pardi, CRO, Expert.ai. “As we continue to expand our presence in banking and financial services industry, our focus remains on delivering measurable business value, building long-term partnerships, and helping organizations move from AI experimentation to trusted, scalable transformation.”
