eGain: Trusted Knowledge is Key to Successful Financial Services AI

eGain Corporation, a company specializing in customer engagement solutions, has analyzed the application of artificial intelligence in the financial services sector. The company's findings emphasize that the success of AI implementations hinges on the quality and accessibility of an organization's knowledge base.

According to eGain, a significant portion of AI investments by financial institutions are failing to deliver returns. This is often attributed to AI systems being built on fragmented, inconsistent, and ungoverned knowledge repositories. A study by MIT cited by eGain indicates that 95% of organizations are seeing no return on their enterprise AI investments.

The report argues that the issue is not with the AI technology itself but with the foundation upon which it is built. In financial services, where regulatory compliance and customer trust are paramount, the stakes are higher. AI amplifies whatever data it processes; feeding it fragmented information leads to amplified confusion, while providing unified and trusted knowledge can amplify business value.

To address this, eGain offers its AI Knowledge Hub™ platform. This solution aims to create a unified repository for all compliance-critical information within an enterprise. It employs a hybrid AI architecture, combining generative AI, conversational AI, and machine learning with curated knowledge assets. This approach ensures that when compliance-critical information is needed, the system delivers precise policies and procedures from verified sources.

eGain states that its platform is built with compliance standards such as PCI, NIST SP 800-53, HIPAA, and FedRAMP integrated. It embeds policy and regulatory checks directly into daily workflows through AI-powered systems, enabling financial institutions to ensure accuracy and adherence to regulations.