Get started quickly . Automate answers to frequently asked questions about compensation, absence management, and more. As your business evolves and policies change, you can easily build your own transactions to meet your specific requirements.
Oracle Digital Assistant for Employee Digital Service is a secure and private AI-driven assistant. It is the one place where all employees can get consistent access to company news, policies, and other critical information.
Powered by AI , Oracle Digital Assistant interprets the user’s intent, automating processes and delivering contextual responses to voice or text commands.
The only enterprise digital assistant on the market today, makes voice and user interactions more expressive by processing complex queries and deriving intelligence from all available enterprise applications, such as ERP, CRM and HR systems to respond in the context to the request made.
The NLP engines that power today’s traditional messaging-based channels lack the ability to handle highly expressive sentences. Voice interactions, however, enable expressive conversations which require NLP engines to manage much more complex constructs. Linguistic constructs like relative clauses, comparatives, superlatives, negation, anaphora, ordinals, cardinals, superlatives, ellipsis, quantifiers and conjunctions now need to be processed by the NLP engines that require more sophistication than the simple intent classification and slot-filling engines available today.
Build conversational experiences for business applications. Powered by AI , Oracle Digital Assistant interprets the user’s intent, automating processes and delivering contextual responses to voice or text commands.
A no-code tool that allows enterprises to build conversational experiences, Oracle Digital Assistant can also integrate with human agent work-flows and business processes without any coding required.
Built on Oracle’s next-generation infrastructure, Oracle Digital Assistant applies AI with deep semantic parsing for natural language processing (NLP), natural language understanding (NLU) and custom machine learning (ML) algorithms. This combination allows Oracle Digital Assistant to understand a user’s natural conversation, derive intent, produce compositional logical forms, and identify and learn user behavior patterns to proactively act on behalf of the user.
Oracle Digital Assistant can be deployed to popular conversational interfaces, such as Microsoft Teams, Slack, Facebook Messenger, sms, WeChat, Whatsapp and across voice interfaces like Siri and Alexa ,Amazon Echo, Google Home, and Apple HomePod.
If your are concern about GDPR compliance or Personally Identifiable Information (PII) requirements we have it for you.
We take care of your HCM, ERP or financial or other enterprise jargon or domain specific
You can add your own organisation specific vocabulary
out-of-the-box integrations to Oracle's ERP, HCM, Financials, Sales and agnostic to other third party integrations to provide robust chatbot experience
You can enhance your chatbot experience to offer the choice of escalating the conversation to an agent whenever the skill senses that the customer is stuck or frustrated, thus increasing customer satisfaction.
Oracle Digital Assistant lets you integrate your skill with a live agent system such as Oracle Service Cloud. In this way you won't loose the chatbot conversation by getting the customer to call in or to get an agent to contact the customer at a later stage or leave the customer stuck in a conversation.
Oracle Digital Assistant is an employee MasterBot responding to HR and recruiting, purchasing , expenses claims, IT Support, etc
The Oracle Digital Assistant is a digital secretary to all employees responding to all employee's queries on all staff issues in a single bot through all channels such as SLACK, MS Teams or sms. It never sleeps, responding 24x7.
We knew we wanted our HR digital assistant to be available where employees spend their time online, and an integration with Teams was therefore essential. Our vision is to have it become to employees what J.A.R.V.I.S. is to Iron Man.”
Senior Director, HR Technology Solutions
Applications of Oracle Digital Assistant
Employee Self Service
– Use cases in areas such as Employee Profile, Leave, Benefits and Payroll
Manager Self Service
– Use cases in areas such as Approvals, Performance Management, Succession, Self Service Transactions and Reporting & Analytics
This is a great use of Oracle Digital Assistant to:
• Reduce volume of questions by 900K annual conversations and 140K hours with HR and call center
• 1.5 year payback
•Team member self service
•Team objectives and performance management
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"Our Key key members have questions every single day- what is my paycheck? How many balance absence do I have? How do I sign up for a new learning class? Whatever questions we focus on find realtime answers quickly.
"Team members ask repeatable questions 65% of time . We use Oracle technology to implement Digital Assistant"Mo
Mobility and Digital Assistant
"95% of staff are on the go. Team members are deskless-working in rooms, room attendants, restaurants, baking facilities, frontdesk .. serving guest . We want make everything available on mobile phone first. Anything we do we do mobile first delivery"
Vice President of Digital HR and Strategic Planning Hilton
Ovum Decision Matrix: Selecting an Intelligent Virtual Assistant Solution, 2020–21-Strengths
Easy to build solutions: ODA offers a no-code "design-by-example" prototype design tool for non-developer users and fully declarative administration to build, train, test, deploy and monitor large-scale bots across channels.
Enterprise-ready: Oracle can offer a secure and scalable platform on its cloud, with "government cage" data centers for the public sector. It can integrate with existing processes, routing rules, and contact center agents. Oracle also offers a large catalog of ready-built bots that support enterprise functions, including sales, customer service, HR, ERP, supply chain, and transportation. These bots are maintained by Oracle, but customers can also extend them.
Deep learning powered NLP: Advanced linguistic and deep learning-based NLP models combine to perform advanced intent resolution and understanding.