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AI & Intent Recognition

As an advanced Digital Employee Experience tool, Digital Assistant utilizes Artificial Intelligence and Machine Learning algorithms to help understand the user’s intent, suggest relevant items to them at the time and within the context that most matters to them.

Main Features

Natural Language ProcessingNatural Language Processing

We use our own algorithm to understand the user’s intent and even offer predictive suggestion as the user types, suggesting relevant topics the Assistant has a ready answer available for the user.

Predictive typingPredictive Typing

When the user starts typing a question the AI suggests questions it knows answers to and gives hints what it is missing (i.e. a name) to make a question result in a valid search result.

AI InsightsAI Insights

The AI can check for preconfigured value ranges, check conditions and test regressional data and – if any notable conditions are met – displays them right on the Card for more contextual decision-making.

Adaptive scheduleAdaptive Schedule

The AI learns when you most often consume a certain type of content and the algorithm will show that information more timely, when other kinds of information might be shown in summaries only.

UrgencyUrgency Detection

Looming deadlines, unexpected spikes in data, action words in messages you receive and more can all trigger an ad-hoc notification on all your devices. It’s the Assistant trying to catch your attention when it thinks you may miss something notable.

Recommended ContentRecommended Content

With the use of Machine Learning algorithms Digital Assistant will build profile from usage analytics to suggest content to users that are similar to profiles the algorithm created. Admins can also inject their own recommendations as part of the ELK stack.

AI TrainingAI Training

Where intent recognition falls short, Digital Assistant collects metrics and reports which administrators can use to re-train the AI and expand its capabilities.

Optimized trainingOptimized for small amounts of training data

Unlike Google which can draw upon millions of searches every hour, our algorithm is specifically designed to expand a small amount of training data using Utterances.


The NLP engine inside Digital Assistant is not specific to any language and therefore you can teach it Utterances in any or multiple languages.


It’s our philosophy to offer Digital Assistant wherever users already are and not make them juggle yet another app. Hence, we offer chatbot agents for all popular enterprise chat platforms.

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Main Features

AI Intent RecognitionAI Intent Recognition

We use an AI algorithm to understand the user’s intent and fulfil it by bringing up the correct answer, form or Card. Collected user data can be used to retrain and improve the accuracy of the AI.

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Q&A botQ&A Bot

Many organizations achieve a good basic coverage of employee questions by incorporating FAQs or Helpdesk tickets into simple question and answer bot questions which gives basic personalization options.


You can add a number of Cards to your own collection of Briefings that the user can request specifically, i.e. as a morning briefing, a mid-day check in briefing, etc.

Available channels

Microsoft Teams

Microsoft Teams

Speak to the chatbot, get answers as Adaptive Cards



Directly speak to your chatbot, get answers formatted using Block Kit

Webex Teams

Webex Teams

Ask your chatbot anything, and get answers as Adaptive Cards

Workplace by Facebook

Workplace by Facebook

Speak to your Assistant directly from Workplace

Digital Assistant Webchat


Embed a chat button on any website, get predictive suggestions

Some features are not available on all plans, please see the Pricing page for more info.