Introduction
What is Teams?
Microsoft Teams is a collaboration platform that combines chat, video meetings, file storage, and application integration. It's designed to facilitate seamless communication and teamwork within organizations, enabling users to collaborate in real-time, whether they're in the office or working remotely.
What is CogniVis AI?
CogniVis AI is a platform that enables you to pull data from different
sources and combine them with each other to
create practically useful AI tools. Sources may include
your internal company knowledgebase and a variety of
most popular business apps like GitHub, Jira, Slack,
and more.
This enables you to easily create
AI chatbot assistants (internal),
custom generators and even
embeddable AI chat widgets trained on your data.
How CogniVis AI works with Teams?
The Microsoft Teams Connector integrates seamlessly with your Teams environment, providing access to key communication and collaboration data for enhanced tracking and insights.
What exact sources are pulled:
- Channels
- Channel name
- Channel ID
- Channel members (only for public channels)
- Channel type (Public/Private status)
- Messages
- Message content (only in channels with permission)
- Sender name
- Timestamp
- Files
- File names (if shared in permitted channels)
- File types
- Upload date
- File owner
- Extendable Sources
- Public channels
- Shared files in channels
Configuration
Generate IDs, client secret value, and add permissions.
Sign In
Sign into your azure portal account.
Generate Application and Directory ID
Navigate to App Registrations.
Press New registrations button.
Title it Cognivis Teams Connector or something similar, leave the remaining settings as they are, and then press Register.
In the overview tab under Essentials you will see the Application ID and Directory ID. Copy them for later.
Generate Client Secret Value
Go to Certificates & secrets and press + New client secret button.
Provide a description, set the expiry to 24 months, and click Add.
Copy the client secret value and save it for later.
Add permissions
Go to API permissions and press + Add a permission button.
Select Microsoft Graph and then Application permissions.
Find the Team permission group and check the box for Team.ReadBasic.All.
Find the TeamsSettings permission group and check the box for TeamSettings.ReadWrite.All.
Find the Channel permission group and check the box for Channel.ReadBasic.All.
Find the ChannelSettings permission group and check the box for ChannelSettings.ReadWrite.All.
Find the ChannelMessage permission group and check the box for ChannelMessage.Read.All.
Find the ChannelMember permission group and check the box for ChannelMember.Read.All.
After that, press the Add permissions button.
Finally, press Grant admin consent for "Organization name" button and hit Confirm.
Add the connector to CogniVis
Navigate to CogniVis Connectors
In CogniVis, go to Admin Panel, then in the sidebar choose Add connector. You will find the Teams connector setup page there.
Open Teams connector setup pageAdd the generated values
Paste the previously copied Application (client) ID, Directory (tenant) ID, and Client Secret Value.
Define access
Clarify whether the documents should be made public, and if you wish, select specific teams for indexing, and then press CONNECT.
Free trial
If you are interested in creating your own automations and workflows with artificial intelligence based on your data, you can request a free trial of our solution. Please book a demo with us to get started.
book a demoOn-premise
Enterprise organizations can choose to deploy this connector on-premise. On-premise deployment provides additional security and privacy, it means that the connector will be hosted on your own servers which you can control and manage.
This option is suitable for organizations that have strict data privacy and security requirements, want to integrate with their existing infrastructure, or need to comply with specific local regulations.
Contact our team & learn about options of deploying this connector on premise.
book a demo learn more about on-premise aiUse cases
Check out potential benefits and use cases for this connector.
Enhanced Communication Analysis
AI can analyze communication patterns within Teams channels to identify frequent topics, key contributors, and overall sentiment. This information can be used to improve internal communications strategies, foster collaboration, and address any issues or concerns within the team.
Real-Time Collaboration Insights
By pulling data from Teams channels, AI can provide insights into collaboration habits, such as peak activity times, preferred communication methods, and most active members. These insights can help optimize team workflows and improve project management.
Automated Meeting Summaries
Using message content and timestamps, AI can automatically generate meeting summaries, highlighting key points and action items. This ensures all team members are aligned and can easily catch up on discussions they may have missed.
Intelligent File Management
AI can track shared files within Teams channels, organize them by type and owner, and provide recommendations for file management. This helps maintain an organized digital workspace and ensures important documents are easily accessible.
Dynamic Team Member Insights
Analyzing channel members and their contributions, AI can offer insights into team dynamics, identify potential leaders, and suggest opportunities for mentorship or skill development, enhancing team cohesion and individual growth.
Privacy and Security Monitoring
By monitoring channel types and shared content, AI can ensure compliance with privacy and security policies. It can alert administrators to any unauthorized sharing of sensitive information in public channels, helping protect organizational data.
Trend and Pattern Recognition
AI can identify trends in message content over time, such as emerging topics or recurring issues. This enables organizations to proactively address concerns, capitalize on opportunities, and stay ahead of industry trends.
Optimized Resource Allocation
By understanding the frequency and nature of communications, AI can suggest optimal resource allocation for projects, ensuring the right team members are engaged and workloads are balanced effectively.
Personalized Learning and Development
AI can analyze individual contributions and interactions to recommend personalized learning paths and development opportunities, helping team members enhance their skills and contribute more effectively.
Automated Workflow Suggestions
AI can identify repetitive tasks within Teams channels and suggest automation solutions, streamlining workflows and freeing up valuable time for more strategic activities.