Conversational AI

Generative AI features: Oracle Digital Assistant has generative AI features that allow users to integrate large language models (LLMs) and other generative capabilities into their digital assistants. In addition, developers can use generative AI to build digital assistants more quickly and efficiently.

Natural language understanding and machine learning: Oracle Digital Assistant applies deep semantic parsing using natural language processing, natural language understanding (NLU), and custom algorithms to understand common conversations to derive accurate intent and context.

AI-powered voice: Eliminate reliance on third-party offerings with Oracle’s AI-powered voice. Users can communicate with their business application using voice commands with an assistant that understands their business-specific vocabulary and enables naturally expressive interactions. Give your customers more control of their data by providing end-to-end security and compliance with privacy standards, such as PII and GDPR.

Analytics and insights: Gain customer insights through built-in analytics that identify conversational bottlenecks and usage patterns and make data-driven decisions that continually improve the user experience.

Integration with enterprise applications

Unified conversational experience: Oracle Digital Assistant unifies single-purpose chatbots into one digital assistant, making it easy for users to interact with multiple systems from one conversation. Conversations are contextual and personalized to individual users and roles.

Prebuilt chatbots for Oracle Cloud applications: Only Oracle Digital Assistant offers out-of-the-box chatbot skills for Oracle Cloud ERP, Oracle Cloud SCM, Oracle Cloud HCM, and Oracle Cloud CX to get you started immediately.

Chatbot architecture framework: Rapidly build custom chatbots for any third-party and on-premises applications using sample templates, reusable components, and the built-in chatbot architecture framework.

Advanced conversational design tools

Conversational designer: Let business users design their own conversational experiences with a point-and-click, no-code dialogue flows interface.

Dialogue and domain trainer: Train the bot on custom domain vocabulary. Combining out-of-the-box training with human training further improves the assistant’s accuracy.

Native multilingual support: Add training data in multiple languages, such as Spanish and French, and skip external translation services to improve engagement and expand use beyond the English-speaking population. With Oracle Digital Assistant’s zero-shot multilingual NLU, you don’t need to re-create the same training dataset for each language.

Open, scalable, secure

Multichannel support: Engage users via popular channels already in use, such as the web, mobile, SMS texting, smart speakers, Slack, Microsoft Teams, and more. Start a conversation on one channel and complete it in another, without losing context.

Automated bot-to-agent transfer: Oracle Digital Assistant integrates with Oracle Service and other help desk management systems to intelligently respond to service requests, offer best next-step recommendations, and drive cost savings of up to 40% with help desk automation. An effortless handoff of full call history to a live agent in the case of more complex calls ensures greater customer satisfaction and improved service levels.

Integrated authentication profile: Enable one authentication profile so users have seamless but secure conversational access to different applications in the back end based on roles. Oracle Digital Assistant security is preintegrated with Oracle applications to offer a single sign-on across applications.