The leading enterprise conversational automation platform
Deploy virtual voice agents for automated phone conversations
Conversational AI Analytics Suite for 360° Insights
Elevating customer service with AI-powered Agent Assist
Turnkey ecosystem integration with pre-built connectors
Fast and efficient call handling with automated ID&V and smart routing, all in natural language
Enabling frictionless, transactional customer service on any voice or text channel
Giving service agents superpowers through AI-infused agent augmentation
Enhance customer interactions with AI on the frontline
Connect customers to the right agent on the first try
Give your agents the confidence to solve complex requests
Boost your customers’ experience and agents’ efficiency
Improve customer satisfaction with detailed insights
Engage with your customers on the platform of their choice
Drive appropriate actions with intelligent processes
Integrate easily with existing enterprise infrastructure
Increase operational efficiency and reduce agent attrition
Dive deep into the world of conversational AI
Learn everything about voice bots and virtual agents
Become an expert in Conversational AI and automation
See Conversational AI in action through demos
Explore Cognigy.AI and get support from the community
Join our mission to make Conversational AI more accessible
Find us at live conferences or virtual meetups
Help us achieve our vision with your talents and skills
Be the first to know about all the latest news
Reach out to our experts and get your questions answered
See how we help your organization secure sensitive data and comply with applicable laws and regulations.
An in-depth guide into the trusted use of AI in customer service automation
Find out everything you need to know about establishing "Explainable AI" based on the AIC4 criteria catalogue.
This week, we announced the release of Cognigy.AI 3.4 - the newest release of our industry-leading Conversational Automation Platform.
As always, the release is jam-packed with amazing new features - including the most comprehensive Microsoft Bot Framework Integration in the market. We’ve also added innovative productivity enhancements and new additions to AI management.
Cognigy.AI 3.4 was built to make the creation, deployment and maintenance of conversational automation solutions - both customer- and employee-facing - as easy as possible.
Here's what we’re announcing today:
Here are the details…
Microsoft Bot Framework integration
Microsoft's answer to conversational AI is the Microsoft Bot Framework, essentially consisting of four components:
While an amazing framework overall, the big shortcoming is the inability for business users, the owners of the automated processes, to make changes to the bots themselves. All logic resides in code and unless you can write code, you're out of luck. This is where Cognigy.AI comes in, adding our graphical editor to the mix to empower business users to create and manage conversations in a user-friendly way.
The new feature that enables this is the Microsoft Bot Framework Endpoint, which can be spawned directly inside the Cognigy.AI user interface.
Full support for Adaptive Cards
When it comes to chat user experiences, sometimes it's not enough to just send text. Even sending the pre-packaged graphical components some channels offer (e.g. galleries, images, quick replies) aren't enough. To solve this problem, Microsoft released Adaptive Cards an open framework for advanced, portable chat user interfaces.
Cognigy.AI now has full support for Adaptive Cards for various channels, including Bot Framework, Teams and the Cognigy Webchat. The UI has been extended to include live previews of cards, so you can see the cards you're building in real time.
Typescript in Code Nodes
Customers looking for a way to get started with their projects more quickly can now make use of Project Templates.
Cognigy.AI offers three Project Templates in English and German:
Rich Default Replies
When an intent is detected, Cognigy.AI can send a Default Reply to the user, meaning that the Flow itself won't be executed, but a predefined answer will be sent to the user instead. These Default Replies have traditionally been pure text, but can now make use of the full power of Cognigy.AI's channel-specific replies. You could for example send a picture and buttons on a webchat, output a specially formatted voice blurb on Alexa or show an Adaptive Card on Microsoft Teams, all from within the intent editor.
New Intent Management features
Intent Management is one of the most important tasks when it comes to creating Conversational AI. We've added several features in this version to make creating and editing intents even easier, such as the tagging and searching of intents.
As for the NLU itself, we added the ability to use system slots in example sentences and the newly created Any Slot. These newly-created slots allow you to detect slots dynamically based on patterns. You could define an example sentence like "I want to eat a <<food>>" and upon receiving "I want to eat a pizza", pizza would be detected as a food slot.
Intent Trainer import/export
The Intent Trainer allows a bot editor to see the user inputs which haven't been understood and then use those inputs to re-train the bot to create a better performing model.
We've added various improvements to the Intent Trainer, plus the ability to export and import records. This makes it possible to move them between environments.
New Channel Endpoints
Cognigy is always striving to add more channel endpoints to our solution, to allow our customer's users to communicate with Cognigy.AI in even more ways. In this release we've added new Endpoints for:
When managing a bot, it is important to measure how well it is doing. Cognigy.AI has always made it easy to integrate with systems like PowerBI, Tableau or Qlik by exposing its data as ODATA.
Cognigy.AI 3.4 builds on top of that by giving our customers the ability to customize what analytics data is actually saved. It allows for the addition of arbitrary data to the analytics collection and, in that way, enables storing very use case-specific information, while still exposing it to the analytics tool of your choice. That way you could, for example, store a user’s chosen city for a booking or the current weather of the day, anything you might need in your BI.
On the infrastructure side, Cognigy.AI now fully supports Kubernetes deployments, whether on OpenShift, Amazon EKS or Azure AKS.
The out-of-the-box support means that installations and upgrades will be even more seamless than before, making it easier for dev ops to manage Cognigy.AI deployments.
Extended Injection API
The Injection API enables external systems to inject information back into a running Cognigy.AI session after an arbitrary timespan. This can be a minute, an hour or a day. When the third-party system calls back, Cognigy.AI will process the input and send an answer to the user.
This is especially vital when integrating with the long-running processes of RPA systems like Kofax or UiPath.
Our solution makes it easier than ever to build, deploy and manage conversational AIs at scale from a centralized conversational platform. Our tools enable business users to develop solutions in customer experience, customer support and process automation, while giving developers the power to customize the solution to their liking. Cognigy.AI 3.4 adds further to this vision and we’re looking forward to seeing what our customers and partners around the world will build with it.
Stay up to date with the latest Conversational AI tips and news.