AI based on Slack Messages

Introduction

What is Slack?

Slack is a communication platform designed for teams and workplaces, facilitating real-time messaging, file sharing, and collaboration in organized channels. It streamlines communication, integrates with various tools, and supports both direct messaging and group discussions, making it ideal for professional connectivity.

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 Slack?

The Slack Connector integrates with your Slack workspace, providing access to core communication data for better insights and tracking.

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
Extendable Sources
Public channels
Shared files in channels
User profiles (basic data like name and ID)

Configuration

Generate a Slack Bot Token

To connect CogniVis AI with Slack, you need to generate a Slack Bot Token in Slack. This token will be used to authenticate the connection between CogniVis AI and Slack.

Navigate to API Settings

Visit https://api.slack.com/apps and log into your account.

Create an App

Click on Create an App button

Select the From a manifest option, and then choose your workspace.

Paste the manifest provided below into the text area in the YAML tab and then press Next button.

            
display_information:
  name: CogniVisConnector
  description: ReadOnly Connector for indexing CogniVis
features:
  bot_user:
    display_name: CogniVisConnector
    always_online: false
oauth_config:
  scopes:
    bot:
      - channels:history
      - channels:read
      - groups:history
      - groups:read
      - channels:join
      - im:history
      - users:read
      - users:read.email
      - usergroups:read
settings:
  org_deploy_enabled: false
  socket_mode_enabled: false
  token_rotation_enabled: false

Generate a new token

In the sidebar navigation, go to OAuth & Permissions, press the Install to (your workspace) button and then Allow button.

Save the Bot User OAuth Token, which will be required for Slack access.

Add the connector to CogniVis

Navigate to CogniVis Connectors

In your platform, go to the Admin Panel, which you can find in the top right corner of the screen.

Go to the Add Connector section in the menu on the left side of the screen.

Then, search for and select the Slack connector.

Add your Slack Bot Token

Add the previously copied Slack Bot Token and press the update button.

Specify the workspace

Give your connector a name (e.g., Slack Connector), provide the name of the workspace (you can find it by expanding the Slack menu). The rest of the options depend on your preferences.

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 demo

On-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 ai

Use cases

Check out potential benefits and use cases for this connector.

Enhanced Team Collaboration Insights

AI can analyze communication patterns within Slack channels to identify collaboration bottlenecks, frequent discussion topics, and key contributors. This helps in optimizing workflows, improving team dynamics, and facilitating more effective project management.

Automated Meeting Summaries

With access to message content and timestamps, AI can generate concise summaries of discussions held in Slack channels. This ensures that team members who missed the conversation can quickly catch up and that important decisions are documented.

Sentiment Analysis and Feedback

AI can perform sentiment analysis on messages to gauge team morale and identify any negative trends in communication. This allows managers to address issues promptly and maintain a positive work environment.

Smart File Management

By tracking shared files, AI can categorize and organize documents based on file types and content. This makes it easier for team members to find relevant files and ensures that important resources are readily accessible.

Real-Time Notifications and Alerts

AI can monitor key channels for specific keywords or phrases, sending real-time alerts to relevant team members. This ensures that critical issues are addressed promptly and that important updates are not missed.

Personalized Learning and Development

AI can analyze user profiles and interaction patterns to recommend personalized learning resources and training materials. This supports continuous professional development and enhances individual growth within the team.

Automated Compliance Monitoring

AI can scan messages and shared files for compliance with company policies and regulatory requirements. This helps in identifying potential risks and ensuring that the team adheres to necessary standards.

Context-Aware Chatbots

By leveraging message content and user profiles, AI can create intelligent chatbots that provide context-aware responses. These chatbots can assist with frequently asked questions, support ticketing, and other routine tasks.

Project Progress Tracking

AI can track the progress of projects by analyzing discussions and updates in relevant channels. This helps project managers to keep track of milestones, identify delays, and ensure that the project stays on schedule.

Enhanced Security Monitoring

AI can monitor public channels and shared files for any suspicious activities or potential security threats. This enhances the security posture of the organization by providing early warnings and enabling proactive measures.

Slack AI