AI-driven automation in Compliance ensures organizations stay ahead of regulatory requirements. Natural language processing (NLP) analyzes legal documents and extracts key obligations, streamlining compliance updates.
Machine learning models monitor activities in real-time, flagging potential non-compliance risks and suggesting corrective actions. AI also automates the creation of regulatory reports, reducing errors and ensuring submissions are accurate and timely.
Third Party Risk Management (TPRM) is a key component of the Digital Operational Resilience Act (DORA) regulations and the overall risk management strategy of financial organizations. The complexity of the process, different departments and the need for constant monitoring make manual supplier risk management inefficient and error-prone.
Our no-code/low-code platform enables you to automate the assessment, monitoring and management of supplier risk, ensuring regulatory compliance, transparency and efficiency in managing relationships with third-party vendors.
Full control over vendor risk - in accordance with DORA.
Scoring based on multiple criteria (compliance, financial stability, IT security).
Integration of different departments and automation of information flow.
Continuously track their compliance with regulatory requirements.
The system automatically suggests corrective actions and prioritizes risks.
ESG (Environmental, Social, Governance) management is becoming a key component of the strategy of banks, insurance companies and financial institutions. New regulations require not only meeting ESG standards, but also proactive reporting and sustainable decision-making.
Our no-code/low-code platform enables automation of ESG data collection, processing and analysis, integration with internal and external systems (e.g., NCR, company reports, ESG ratings), and intelligent decision support - so that banks and financial institutions operate in full ESG compliance and optimize their processes.
ESG as the foundation of decision-making strategy - Automation and AI.
Integration with KRS, company reports, external ESG databases, internal systems.
Analyze ESG ratings of counterparties, investments and internal bank policies.
AI assesses the impact of ESG on decision-making processes (e.g., loans, investments, business relationships).
Meeting regulatory requirements (CSRD, SFDR, EU Taxonomy).