ILUMA AI for Slack
The AI Chief of Staff for CEOs to empower leaders to see around corners, spot potential risks, and avoid costly problems
How it Works
ILUMA AI integrates into your Slack workspace and analyzes your conversational data in order to provide high-level, critical insights to CEOs and C-level leaders about potential costly risks that are not on your radar.
You can customize your AI insights from your ILUMA account in the "Notifications" section. You can choose to receive these insights via email, text, or via Slack DM from the ILUMA AI app.
ILUMA AI leverages Large Language Models such as Azure GPT-4 and Bedrock Claude. Information provided by ILUMA AI is subject to the correct contextual interpretation of the models we leverage to provide accurate insights. All customer data is fully encrypted and protected by best-in-class security and privacy. For more information please visit our Data Privacy and Security page, or review our Privacy Policy.
Adding ILUMA to Slack
Once you create your ILUMA account, you'll want to add ILUMA AI to your Slack workspace
1. Log in to your ILUMA account, click on your profile in the top right corner, and select 'Integrations'
2. A pop-up will appear. Click on 'Add ILUMA to Slack', and follow the instructions
ILUMA AI is now installed on your Slack workspace! Next, add ILUMA AI to your Slack channels and set up you ILUMA AI notifications (2 mins)
1. Find ILUMA AI on the bottom of the left panel of your Slack workspace under 'Apps' (if you don't see it, click on 'Add App' and search for ILUMA)
2. Add ILUMA AI to channels. Add ILUMA AI to public channels by clicking 'Select Public Channels', and to private channels by using the /invite @ILUMA AI command inside those channels' message box
3. Select how'd you like to receive your ILUMA AI insights by clicking "Customize Notifications"
You will now receive critical insights about your Slack workspace from ILUMA AI!
Along with the ILUMA AI insights you'll receive, you can also monitor team engagement and sentiment via your ILUMA dashboard, in the web app
