Announcement Microsoft Teams sentiment Analysis guides webex guides

AI Sentiment Analysis of Chats & Meetings in MS Teams and Webex


  • What is sentiment analysis?
  • Why is sentiment analysis important?
  • What is sentiment analysis used for?
  • How does sentiment analysis work?

What is sentiment analysis?

The process of analyzing call recordings and chat to determine whether the underlying emotions are positive, negative, or neutral is the definition of AI sentiment analysis.

In other words, sentiment analysis helps to find the person’s feelings in a particular situation and define the emotions involved to be either joyfulness, happiness, surprise, anger, disgust, or sadness. 

Why is sentiment analysis important?

First and foremost, AI sentiment analysis is important to help spread positive behavior to other parts of the company. With the positive and negative communications documented in every employee’s report, sentiment analysis can help businesses promote positive behavior in the workplace. This can be done by comparing employees’ performances and encouraging everyone to improve.

Furthermore, evidently, businesses must ensure that customers are receiving excellent service. Sentiment analysis can help businesses identify negative behavior and detect any interaction that may have been negative. This will help in managing the employees’ negative behavior to provide the best customer experience.

Thirdly, Understanding customers’ emotions can empower the employees with knowledge that can help them provide better service. The customer-facing team can therefore offer proactive solutions to increase customer satisfaction.

Fourthly, by analyzing employees’ communications, companies can better understand how they feel, which in turn helps reduce employee turnover and increase overall productivity.

Lastly, sentiment analysis can give visibility to employee communication with others while working remotely which in turn helps employees stay connected to their team and improve their collaboration with others.

What is sentiment analysis used for?

Sentiment analysis can be useful in different business departments or divisions. Let’s see in more detail how sentiment analysis benefits some of them.

  • Customer Success / Support Managers:

Sentiment analysis is an extremely useful tool in the customer service field as it allows businesses to improve their direct communications with customers. It can also help businesses prioritize their customer support issues by identifying and handling the most negative feedback first, which increases customer retention and satisfaction by providing quick answers.

  • HR Manager:

Sentiment analysis helps HR managers make decisions and organizational changes based on employee feedback and satisfaction to promote proactive action before any interview or conversation.

  • Employees:

Employee reports can help an employee objectively analyze their relationships with other colleagues within the organization, as well as their communication trends.

Sentiment Analysis info graphics
AI Sentiment Analysis Infographics

How does sentiment analysis work? 

AI sentiment analysis employs natural language processing and machine learning algorithms to classify text and audio pieces as positive, neutral, or negative.

  • Natural Language Processing:

NLP uses computer-based methods that analyze the human language used in communications. In order for machines to understand human text and speech, NLP techniques need to be put in place. This includes Tokenization, Stemming, and Part-of-Speech (POS) Tagging. After the natural language processing is completed, the text will be ready for the classification process of machine learning.

  • Machine Learning:

Using existing data, machines are trained to recognize patterns in new data sets to predict the sentiment behind a given text and automatically classify it as positive, negative, or neutral.

AGAT Software recently released its first AI sentiment analysis engine, to learn more about it, contact us today.

Security Announcement DLP webex guides

Collaboration without compromise: Real-time data loss prevention (DLP) for Webex messages and files

Data loss is a big concern for organizations

Today’s workforce is more distributed than ever. The ways that employees collaborate with each other and with customers and partners continue to increase. According to Metrigy, just 20% of companies now require employees to work within a traditional office. With the Hybrid Workplace, IT leaders responsible for securing data and applications are required to have a proactive plan that addresses security, governance, and compliance policies across all collaboration applications.

As users continue to rely on collaboration tools, and the increase in unmanaged device usage, data loss or leakage becomes a big concern for many organizations who need to prevent important information from being shared maliciously or accidentally, while users are collaborating via Meetings or Messaging. In most cases, users don’t even realize that they are sending sensitive information in their files or messages, so it is critical to have the right safeguards in place to keep your users and data safe and secure.

What is real-time DLP and when is it needed?

As businesses expand their ways of internal and external communication, having a true real-time data loss prevention (DLP) solution becomes even more pressing. A real-time DLP solution is crucial to effectively manage and protect your confidential information. This solution ensures that your sensitive data intercepted and filtered before it reaches the recipient.

Until now, the only option in the market has been near-real-time DLP. Near-real-time DLP is a reactive approach that deals with sensitive information after being seen and exposed to other collaborators. For example, if an employee would send a file or message containing sensitive data, that data would reach the destination user and only then be deleted. This often leaves a compliance gap allowing the other side to view and save the content sent.

For companies concerned with protecting their sensitive data at any instant, near-real-time DLP is not a sufficient approach. This risk of data proliferating in uncontrolled ways would be high specially in highly controlled industries. No one wants their sensitive data in the wrong hands even for a few seconds.

Webex and AGAT Software now offers real-time DLP for files and messages

I’m excited to share that Webex in partnership with AGAT Software now offers real-time DLP for both files and messages, enabling companies to now benefit from a real-time DLP solution for Webex. Webex’s new API allows files to be scanned before they are received by other collaborators. The API allows Webex partners to perform inspections as set in their DLP policies and decide whether the file should be allowed or blocked. Webex also allows partners to proxy the traffic to scan messages in real-time.

Data Loss Prevention policies are set to detect sensitive information in everyday Webex communications. The objective of such a solution is to block sensitive data at source, such as financial data (credit card numbers), intellectual property (inventions) and personal information (PII) from being sent in a Webex space to unauthorized internal or external users, whether by accident or on purpose.

In addition to scanning communication for sensitive information, there are also a range of other file related controls. You can block file uploads based on parameters such as file type and file size. You can also block file sharing between specific groups, users, or domains to comply with your organization’s compliance needs and regulations. This video shows how real-time DLP works as or when implemented by AGAT with their flagship SphereShield product.


With real-time DLP, both messages and files are blocked in real-time, and the destination user does not receive the sensitive data even for a second. Both the users and IT admin also receive notifications and incidents are audited in the admin portal.

Real-time DLP is the solution for companies that want to truly address their compliance and security needs without compromise.

Contact us today to see how AGAT Software can help with protecting your sensitive data from being released to unauthorized internal and external users.

For more information, please visit here:

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Announcement Microsoft Teams webex guides

Our New AI Virtual Assistant is A Game-Changer for Meetings and Calls, Learn Why.

Let’s agree on something: meetings can be a big pain when not handled in the best way.

Do you often lose track of the tasks and reminders that were set during the meeting? Have you ever had to bring someone up to speed about what happened in a meeting they missed? Does it take you a long time to prepare for a meeting, send files & agenda to all participants via email?

If you answered yes to any of these questions, you need to keep reading this post, for sure.

Meetings allow everyone in the company to make their voices heard. It’s where information is shared and key decisions are made. However, when the meeting is over, only a few action items and due dates will be remembered. Most of that information will go by endless email threads and one of the most likely scenarios is that the meeting will have to be repeated.

Introducing Agi – AI Virtual Assistant

AGAT is proud to present what is the future in meeting virtual assistants.

With the help of our AI engine, Agi – our Virtual Assistant uses the conversation transcript from the recording to automatically generate insights, summaries and most importantly automatically pull tasks to your own task management system such as Asana,, Trello, Microsoft Planner and more.

blur vs 2

Overview of Virtual Assistant Insights Tab

How does Agi AI Virtual Assistant improve your workflow?

Agi works during and after the meeting to ensure no wasted efforts and help organize your meeting content. Here is how it works:

During the meeting:

Never let any item fall between the cracks with our Virtual Assistant. Agi is able to detect meeting insights like tasks, notes, decisions, agenda, and summary. You can use the trigger words to ask Agi to do things with just your voice like Agi, write a decision.” Agi can also identify tasks without specifically saying the trigger words by using the Assistant AI Insights Engine. 

After the meeting:

To achieve better continuous collaboration, instead of sharing meeting highlights with participants via email, Agi allows you to continue your collaboration using Webex space or MS Teams group chat. Thus, creating a central meeting collaboration place which everyone can use as a reference.

The space / group chat created for the meeting automatically includes the following content:

  1. Meeting recording
  2. Meeting transcript including who was the speaker and the time of utterance
  3. Chats and files shared
  4. All meeting highlights by category: agenda, decisions, notes and summary
  5. List of tasks and action items that are linked to your preferred task management system (Asana, Microsoft Planner,, Trello, and more)
  6. Follow up meetings needed
  7. List of notes to sync to your CRM customer information
  8. List of reminders

AI Virtual Assistant – Agi facilitates the follow-up process on tasks that were set during the meeting. This can be done by syncing your tasks to your preferred task management system and displaying their live status from the task manager to Webex space / MS Teams group chat. In the Webex space / MS Teams group chat, you will also be notified when the time is due for the reminders that were set during the meeting.

Even more Functionalities:

Save your time with Agi by automating the meeting management process. From creating a space / group chat to creating meeting minutes. Agi will auto-generate the meeting minutes for you to facilitate the process of bringing people up to speed. Meeting minutes can also be exported as a PDF. Agi also uses AGAT’s AI engine to generate a meeting summary ensuring that participants present and absent know what was discussed during the meeting. This is done without the need to specifically saying the trigger words to create the summary during the meeting.

AI Virtual Assistant uses the latest technology to identify sentiments in meetings. To improve communication and identify potential risks, our AI engine analyzes meeting transcripts and is able to detect sentiment behind the speech. Sentiment can be joyfulness, happiness, neutral, surprise, anger, disgust or sadness. Then, you will get a positive or negative score which will aid in identifying situations where more attention is needed because of high negative sentiment or cloning positive behavior. In addition, taking advantage of the sentiment analysis capabilities, users are presented with insights on their network by showing the ‘Your Network’ analysis. You can see the people in your company with whom you are most positive or negative. The results can be used to enhance your relationships with others in your organization.

And lastly, if you haven’t finished your discussion in the allotted time, Agi will help you schedule a follow up meeting automatically.

Watch the Assistant in action:
Screenshot 2021 10 25 143006

Conclusion – you need to try it!

In a world where meetings are far from disappearing, and only increasing, it’s important to have the means of preventing wasted time as well as optimizing manual and tedious processes that are often neglected. That’s where AGAT’s AI Virtual Assistant – Agi comes in. 

Contact us today to see how AI Virtual Assistant can help you and your team become more productive. 

For more information about AI Virtual Assistant – Agi, please visit our website.