COGNIGY.AI is the leading enterprise conversational automation platform for building advanced, integrated conversational automation solutions through the use of cognitive bots. As a highly-flexible converstional automation platform COGNIGY.AI is implemented to build advances, integrated enterprise virtual agents for customer and employee service on chat and voice channels.
Cognigy is supported by Nordic Makers, a group of knowledgeable investors such as Lars Fløe Nielsen, former product strategist and co-founder of Sitecore.
Why are Natural Language Interfaces better?
- Messaging is a primary app: Users download fewer and fewer apps and primarily spend their time in no more than five apps. Messaging apps are at the top of the list. (Forrester)
- Consumer message business: Facebook reports that 20 billion messages are exchanged between customers and businesses every month on the Messenger platform.
- Messaging is a differentiator: 56% of surveyed consumers indicate they are more likely to do business with companies they can message directly.
Low Code Conversational Flow Editor
Real-time preview
Enterprise-Level Operations
- SAAS & ON-PREMISE - Cognigy.AI runs on Cognigy's SaaS cloud or on your own infrastructure as an on-premise deployment.
- AUTOMATED TESTING - Perform automated regression testing of your conversations to ensure business objectives are met after changes have been made.
- UNLIMITED SCALABILITY - Cognigy.AI's containerized micro-services architecture provides unlimited scaling and built-in resilience to handle peak traffic loads.
- BUILT-IN LOGGING - Access application and system logs from within Cognigy.AI and integrate with your existing logging tools.
Differentiation
Enterprise-Level SaaS Platform
- Support of several end-points OOTB
- Support of several NLU/NLP (Cognigy, Microsoft, Google)
- Support of several backend systems OOTB
- Cross-endpoint dialog flows (true omnichannel)
- Easy to use dialog-flow editor
- Machine learning
Scalable cloud solution (Microsoft Azure), can be deployed on-premise if required
Ideal approach
Phase 1: Implement an informational bot that addresses common support queries and deploy on your website, Messenger or SMS.
Common requirements include:
- Addresscommonqueries
- Deploy on website, messengerorSMS.
- Measure, lean, iterate
Phase 2: Expand your capabilities by addressing the authenticated user, providing a Conversational interface to enterprise systems. Here, your business objectives are to keep customers in self-service mode by providing both information and action in a single interface and to measure call center contact rates for users exposed to AI vs. those using existing channels.
Common requirements include:
- Identify users
- Integrate back-end systems.
- Expose information and action
Phase 3: Your goals in Phase Three are to gain operational efficiency by standardizing on a platform, standardize activities for identifying and implementing use cases and integrate into Enterprise governance requirements.
Common requirements include:
- Enable teams across department and function.
- Define conversational standards and policies.
- Establish Conversational AI as a first-class channel along with web, mobile and email.