Secure and Compliant
Gen AI Chatbots For Financial Services
Challenges in Implementation:
Data Security and Privacy
Handling sensitive financial data raises concerns regarding data security, compliance with regulatory standards (such as GDPR and CCPA), and protecting customer privacy.
Chatbot access to internal systems and databases
Seamless integration enabling chatbot access to internal systems and databases. Efficiently integrating chatbots with internal systems and databases for streamlined data access and interaction is a challenge.
Regulatory Compliance
Financial institutions must adhere to stringent regulatory requirements, including PCI-DSS, NIST, ISO-27001 and data protection laws, which necessitate compliance mechanisms within chatbot systems.
Use Cases
Enhanced Customer Experience
Chatbots enable round-the-clock assistance, personalized recommendations, and seamless transactions, enhancing the overall customer experience.
Operational Efficiency
Automating routine inquiries, such as balance inquiries, transaction history, and account management, streamlines operations and reduces operational costs.
Risk Management
Chatbots equipped with natural language processing (NLP) capabilities can analyze vast amounts of data in real-time, aiding in fraud detection, risk assessment, and compliance monitoring.
Sales and Marketing
Chatbots serve as virtual assistants, guiding users through product offerings, assisting with onboarding processes, and facilitating cross-selling opportunities.
Edgebricks: secure and compliant chatbot for Financial Services:
Hosting in customer accounts
Edgebricks offers flexibility in hosting options, supporting deployment on any cloud infrastructure, including, AWS, Azure, Google Cloud,and private cloud.This cloud-agnostic approach allows financial institutions to choose the hosting environment that best suits their requirements, preferences, and compliance standards. Whether they prefer an on-premises deployment or opt for a cloud-based solution, Edgebricks ensures seamless integration and interoperability with existing IT infrastructure, internal database, and third-party applications.
Read more
Built in development lifecycle
With Edgebricks, chatbot development is simplified, requiring no technical expertise. Users can upload data, select embedding techniques, customize language models, and deploy chatbots within minutes.e
Read more
Read more
Feedback Loop
Edgebricks facilitates continuous improvement through instant feedback mechanisms, enabling users to refine accuracy and enhance performance over time.
Built in QA automation
The platform includes automated quality assurance mechanisms that streamline the testing and validation process, saving time and resources while ensuring the reliability and accuracy of the chatbots.
Read more
Read more
Scalable deployment
he platform supports batch mode processing, enabling the seamless handling of multiple queries simultaneously. This feature enhances the scalability and efficiency of chatbot deployments, ensuring smooth operations even during peak demand periods.
Read more
