Trusted by Our Clients
From Risk & Compliance Challenges to AI-Driven Assurance
Current Challenges
The problems risk and compliance leaders face daily
Complex and Evolving Regulations
Banks and financial institutions face rapidly changing regulations across multiple jurisdictions (Basel III, MiFID II, Dodd-Frank). Manual interpretation and compliance are resource-intensive and error-prone.
Fraudulent Transactions & Financial Crime
Sophisticated fraud, money laundering, and cybercrime techniques outpace legacy rule-based systems, leading to undetected risks and compliance penalties.
Inefficient KYC & Onboarding
Manual KYC/AML checks delay onboarding, frustrate customers, and increase compliance costs without improving detection accuracy.
Time-Consuming Audits and Reporting
Audit preparation and compliance reporting require teams to sift through siloed data, creating delays and increasing the likelihood of regulatory breaches.
Reactive Risk Management
Most risk frameworks detect issues after they occur rather than predicting and preventing them proactively.
How AI Agents Solve These Problems
AI agents operate continuously across your financial risk and compliance ecosystem:
Regulation Intelligence Agents
Continuously scan, interpret, and map global regulatory updates to business processes, ensuring teams stay compliant in real time.
Fraud & AML Detection Agents
Analyze transactions with anomaly detection and machine learning, flagging suspicious activities and improving anti-money laundering effectiveness.
KYC Automation Agents
Leverage NLP and computer vision to verify documents, screen identities, and accelerate onboarding with higher accuracy.
Audit & Reporting Agents
Automate data collection and report generation, ensuring faster, audit-ready compliance submissions with reduced manual effort.
Predictive Risk Analytics Agents
Use AI models to anticipate credit, liquidity, and operational risks, enabling proactive mitigation and smarter decision-making.
Key Capabilities
Real-Time Fraud & AML Detection
Automated KYC & Customer Onboarding
Continuous Regulatory Monitoring
AI-Powered Compliance Reporting
Predictive Risk Modeling & Scoring
NLP for Policy & Document Intelligence
Cross-System Data Integration & Dashboards
Why Intellectyx?
Domain expertise
Experience across banking, insurance, and capital markets
Custom AI agents
Tailored for your risk and compliance frameworks
Seamless integration
Connect with core banking, ERP, and compliance systems
Secure and compliant
SOC 2, ISO, GDPR-ready AI solutions
Client Success Stories
Discover how we've helped businesses transform with intelligent AI solutions.
Faster Unstructured Data Discovery
Built a multimodal AI agent platform for compliance teams, unifying access to archived emails, attachments, and documents across S3, databases, and internal systems. Agents handled ingestion, semantic retrieval, natural language interaction, and feedback learning, enabling context-aware search, AI-generated summaries, and faster audit readiness.
Reduction In Manual SQL & Rule Creation Time
We developed a multi-agent AI system that reimagines how users assess, monitor, and improve data quality, enabling intelligent collaboration, automation, and real-time decision-making.
Improved Operational Efficiency
Multimodal GenAI-powered automated customer service platform for a large Electrical and Electronics Manufacturer, supporting NLP, image, audio, and video inputs for contextual insights and personalized information delivery.
Improvement In Lab Information Access
LLM-powered healthcare knowledge assistant enabling scientists to retrieve complex clinical, chemical, and lab-related data using voice and text, reducing research time and improving accuracy in labs.
Reduction In Dashboard Interpretation Time
Narrative Generation Agent integrated with BI tools like Power BI, Tableau, and Qlik, transforming raw dashboard data into real-time natural language insights for faster decision-making.
Reduction In Support Ticket Load
GEN AI and ML-powered real-time Q&A system that analyzes user queries, recommends high-confidence responses, and continuously learns from user feedback to automate repetitive support functions.