European banks are moving from AI exploration to operational implementation in 2026. Deploy on-premise AI for fraud detection, compliance automation, and risk modeling, without compromising customer data.
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Financial institutions face unique constraints when adopting AI: regulatory pressure, data sensitivity, and the need for explainable decisions.
BaFin IT requirements (BAIT/VAIT), ECB supervisory expectations, GDPR, EU AI Act, and MiFID II create overlapping compliance obligations that generic AI tools cannot address.
Transaction data, account information, and customer profiles cannot be processed by third-party AI services. 72% of EU security professionals report heightened demand for data localization in financial services.
Regulators require that AI-driven decisions in credit scoring, risk assessment, and compliance can be explained and audited. Black-box AI models are not acceptable in regulated finance.
Leading European banks are building "AI factories" for regional deployment. We provide the infrastructure and expertise to build yours.
AI-powered analysis of DIN financial standards, regulatory publications, and compliance documentation. Instantly search, compare, and extract requirements from thousands of regulatory documents.
Automate KYC/AML screening, transaction monitoring, and regulatory reporting. Reduce manual compliance workload while maintaining full audit trails for supervisory reviews.
AI-assisted risk modeling, portfolio analysis, and financial planning. Support advisors with data-driven insights while keeping all customer financial data on your own servers.
An AI-powered financial literacy and health check tool that runs entirely on sovereign infrastructure. Users get personalised financial guidance without their data ever leaving the platform.
Projected AI market in Germany by 2031
Of EU security professionals demand data localization
Cite data security as barrier to cloud AI
Customer data stays on your infrastructure
AI-powered search across regulatory documents, DIN standards, and compliance archives with source citations.
Learn moreAutomate KYC/AML screening, transaction monitoring, and regulatory reporting with self-hosted n8n workflows.
Learn moreTrain domain-specific models on financial terminology, risk frameworks, and regulatory language.
Learn moreOur deployments are designed for regulated financial environments. All data processing happens on your infrastructure, whether on-premise or in a dedicated Azure tenant, ensuring compliance with BaFin IT requirements (BAIT/VAIT), ECB supervisory expectations, and GDPR. We include full audit trails, model documentation, and explainability features required by financial regulators.
Yes. We deploy directly into your data center, private cloud, or dedicated Azure environment. Our solutions integrate with core banking systems via secure APIs and n8n workflow automation. No customer data ever leaves your controlled environment.
Our AI models analyze transaction patterns in real-time to detect anomalies indicative of fraud. Models are trained on your historical data and continuously learn from new patterns. All processing happens on-premise, ensuring customer transaction data remains fully sovereign.
Public AI services are unsuitable for financial data due to data sovereignty concerns, regulatory non-compliance, and the risk of data leakage. Our on-premise deployments provide the same AI capabilities (document analysis, risk modeling, compliance automation) without sending any customer data to third-party servers. 44% of enterprises cite data security as the primary reason for avoiding public cloud AI.
A pilot deployment typically takes 6-10 weeks, including security assessment, infrastructure setup, model training, and compliance documentation. Full production rollout follows in phases, aligned with your change management and regulatory approval processes.
Free 30-minute strategy call with Gerrit: no sales pitch, just a concrete roadmap for your business.