Duna Deployed AI Compliance System for Financial Firms
The technology platform aims to eliminate AI model hallucinations by converting bank policies into deterministic code.
Updated on Oct. 2, 2026 in Financial Services
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Financial technology firm Duna has launched a new system that pairs artificial intelligence with deterministic code to manage financial compliance. The platform automates due diligence, onboarding, and monitoring tasks to ensure consistent output across banking operations.
Why it matters
Financial institutions face a critical challenge where AI agents often fail to provide reliable, consistent answers for regulatory tasks. By anchoring AI actions in policy-driven code, this system addresses the growing industry concern over unpredictable model outputs.
The system improved analyst processing time 16.3-fold, dropping the average time per case at SeQura from 243 minutes to just 14.9 minutes. This implementation addresses a core risk identified in the 2026 Global AI in Financial Services Report.
The players
Duna
Duna is a financial technology company that specializes in using deterministic code to manage AI compliance tasks.
SeQura
SeQura is a financial services institution that served as the testing site for the documented improvements in analyst processing times.
The details
The engine functions by converting bank policies into code that orchestrates AI agents, requiring the software to call an agent only when specific evidence is needed. The system records all work and evidence for every case, allowing firms to audit their processes and identify which past cases might be affected by outdated instructions.
Timeline
The 2026 Global AI in Financial Services Report was released in 2026.
The deterministic system was deployed for financial compliance as of October 2, 2026.
Market Landscape
This move directly responds to the 2026 Global AI in Financial Services Report which found 70% of firms and regulators rank model hallucinations as a top risk. By providing a deterministic framework, Duna positions itself to capture market share from firms struggling to reconcile rapid AI adoption with stringent financial oversight requirements.
Average customers at financial institutions may experience faster onboarding and due diligence processes as banks adopt these automated tools. These improvements are designed to reduce the time spent on manual identity and adverse media verification tasks.
The takeaway
Financial institutions are increasingly shifting toward hybrid AI models that pair creative generation with strict, rule-based code to ensure regulatory adherence. Implementing such guardrails is becoming essential for firms looking to mitigate the legal and operational risks associated with unreliable AI.
Further reading
For broader trends in the industry, visit the /business/industry/financial-services/ section.
Source note: This article includes information reported by FinTech Global.
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