s
x c e l e r a t i o

Banking
grade
AI

Our Services AI as a Service
run in a Compliance Fortress tailored for Europe’s Financial Sector

Banks dont need more technology, they need solutions

Your challenges are urgent: sky-high operational costs, evolving regulations like DORA, and a race to outpace fintech disruptors.
The race for AI looms — your competitors are scaling while your teams struggle to keep up.

You know already, that banks cannot just use generic AI (like ChatGPT in the US or DeepSeek from china) to avoid all sort of regulatory issues,

How We Solve Your Top Pain Points

GDPR-Compliant AI, Built for EU Banking
Hosted exclusively in EU datacenters, we ensure data sovereignty and regulatory peace of mind

Custom-Trained Models for Your Unique Needs
No generic AI. We build models trained on your data. enhance your fraud detection, risk forecasting, hyper-personalized customer insights.

Seamless Integration
Plug into our AI "highway" via a dedicated API—embed predictive power into legacy systems.

What you can do with AI

XC integrates advanced AI and machine learning to optimize labor-intensive, high-cost banking functions while maintaining regulatory rigor. We target operational inefficiencies in front-, middle-, and back-office workflows, reducing manual effort by 30–50% and accelerating decision cycles

Step 1: AI Consulting - our experts help you explore the options to open new perspectives
as AI is not, how your team did things before.

Step 2: We integrate 1 POC in 1 process, tailored to make AI work.
Now you see the change.

Step 3: Expand, and explore iterative the next solutions

The integration of AI in banking offers transformative benefits, including:
Enhanced Fraud Detection: Real-time analysis of transactions using machine learning algorithms to identify anomalies and prevent fraudulent activities.

24/7 Customer Support: AI-powered chatbots and virtual assistants that handle routine inquiries, resolve issues, and improve user experiences.

Proactive Risk Management: Predictive analytics to assess credit risk, evaluate market fluctuations, and optimize lending or investment decisions.

Personalized Financial Services: Tailored product recommendations and advice based on customer behavior analysis and historical data patterns.
Operational Efficiency: Automation of repetitive tasks, such as document processing, to reduce costs, minimize errors, and accelerate workflows.

Regulatory Compliance: Automated systems that monitor transactions, generate reports, and ensure adherence to evolving legal frameworks.

Data-Backed Decision-Making: Advanced analytics to extract actionable insights from large datasets, improving strategic planning and customer segmentation.

banking grade AI
Infrastructure

Faster AI Integration
AI infrastructure enables seamless workflow automation through modular components. We configure sophisticated AI pipelines by combining multiple specialized models, tools, and custom code into cohesive systems.
  • End-to-end process optimization
  • Cross-model capability
  • API-driven extensibility
  • Custom solution development

Regulatory Compliance
AI helps organizations adhere to evolving legal and industry standards effortlessly.
  • Automated reporting
  • Audit trails
  • Policy enforcement
  • Risk assessment

Scalable Efficiency
AI infrastructure enables businesses to scale operations while maintaining optimal performance. / Early
  • Agentic systems
  • Resource optimization
  • Faster decision-making
  • Cost-effective growth

Advantages of banking-grade AI over mainstream AI



Data security and isolation
Banking-grade AI: C5-certified data centers with complete data isolation and data retention within defined jurisdictions

Traditional providers: Data could potentially be used for training; Data centers without bank-specific certifications
Decision Traceability
Banking-Grade AI: Full explainability with documented decision paths for regulators

Traditional providers: Limited transparency in decision-making, "black box" issues
Auditability
Banking-Grade AI: Complete audit trails for every AI process and decision

Traditional providers: Limited audit trails, insufficient for bank audits
Human-in-the-loop controls
Banking-Grade AI: Continuous human monitoring and control mechanisms

Traditional providers: Largely automated processes with limited human oversight
Model Governance
Banking-Grade AI: Strict model risk management and versioning

Traditional providers: No formalized governance processes, one must fit all
Risk Mitigation & Audit Assurance
We manage and reduce regulatory and compliance risks drastically to enable the use of AI in highly sensitive and regulated banking critical areas.

Traditional providers: Lack necessary export capabilities

RealWorld AI Solutions - BANKING GRADE

Use Cases and Seamless Integration

What AI Does

Analyzes millions of transactions in real time to flag suspicious patterns (e.g., mule accounts, unusual cross-border activity).
Learns from historical fraud cases to refine detection rules, reducing false positives by up to 70%.

Integration

Connects via API to core banking systems and payment gateways.
Automatically alerts compliance teams via Slack/Teams and populates case files in your existing workflow tools (e.g., SAS, Actimize).

What AI Does


Predicts default risk by analyzing non-traditional data (cash flow patterns, industry trends) alongside credit scores.
Visual models, automate document processing using OCR techniques and knowledge to extract information and evaluate a documents originality

Integration

Embeds into loan origination platforms (e.g., Finastra, Temenos) via REST API.
Outputs risk scores directly into loan officers’ dashboards with explainable AI “reason codes” for regulatory transparency.

What AI Does


Powers chatbots to resolve routine inquiries (balance checks, card blocks) in 15+ languages.
Analyzes transaction history to recommend hyper-personalized products (e.g., mortgage offers for frequent rent payers).

Integration

Deploys chatbots via web SDK or WhatsApp Business API.
Syncs with CRM systems (Salesforce, HubSpot) to trigger targeted offers based on customer behavior.

What AI Does

Automates back-office tasks: invoice processing, reconciliation errors, and IT service desk tickets.
Cut manual effort in Document Verification Processes.

Integration

Connects to ERP systems and internal ticketing tools (like ServiceNow).

Delivers predictions via email alerts or Power BI dashboards.