What we're up to
Automated Invoice-to-Transaction Matching
Automated Invoice Matching with On-Prem AI explains how companies can eliminate repetitive accounting work using a secure, locally hosted AI model. The article breaks down the technical setup and real impact of matching invoices to transactions in minutes—not days.
A(i) U-Turn for Custom UIs
A(i) U-Turn for Custom UIs explores why user interfaces should reflect real work rather than generic workflows. The article shows how AI and modern architecture make fast, adaptive custom UIs possible, illustrated by a real-world case from CETIN.
User story: How I Built My Own Invoice Payment Automation Without Being a Developer
Discover how a non-developer automated invoice processing from Google Drive to bank payment using Python, AI, and BitSwan – saving hours of manual work every month with zero coding background.
Building a Compliant and Scalable Email System
Discover how we built a fully compliant, secure, and scalable email system for a financial services client—using BitSwan to automate contact syncing, approval workflows, and frontend deployment.
Automating NAVPS Calculations
Managing over 200 investment funds, a leading fund administrator faced mounting pressure to deliver accurate and timely NAVPS (Net Asset Value per Share) calculations. Manual processes created bottlenecks, errors, and delays. This case study shows how a modular automation solution streamlined NAVPS workflows without disrupting existing systems — reducing manual effort, boosting accuracy, and enabling faster investor reporting and compliance.
CETIN Case study
CETIN Slovakia transformed its telecom operations by using BitSwan to move from reactive troubleshooting to proactive, real-time monitoring. By processing massive volumes of network data from multiple vendors and technologies, BitSwan detects anomalies before users are affected, enables smarter alerting, and supports faster root cause analysis. With machine learning, feedback loops, and interactive dashboards, CETIN now resolves issues faster, plans more effectively, and lays the groundwork for a self-organizing, AI-driven network.
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