Overview

The AI-Optimized Incident Management solution helps organizations streamline the process of incident reporting and resolution using Slack’s Workflow Builder, custom workflow steps, Slack Canvas, and OpenAI’s ChatGPT. By integrating these tools, this solution automates bug creation in Jira Cloud, generates AI-driven incident summaries, and facilitates comprehensive documentation, all within Slack. This enables teams to enhance collaboration, minimize downtime, and standardize their incident management practices. 

Key Features

• Automated Incident Reporting: Quickly report incidents and automatically create Jira issues directly from Slack, reducing manual effort and increasing accuracy.
• Custom Workflow Steps: Design and implement reusable, customized steps tailored to specific incident management workflows, enhancing flexibility.
• AI-Generated Summaries and Root Cause Analysis: Leverage ChatGPT to provide instant, AI-driven insights into incident details and causes, accelerating resolution times.
• Slack Canvas for Documentation: Use Slack Canvas to create structured, easily accessible incident reports, ensuring comprehensive documentation for future reference.

Customer Benefits

• Faster Incident Resolution: Automate repetitive tasks and streamline communication to resolve incidents more quickly.
• Improved Collaboration: Enhance cross-functional collaboration by centralizing incident management within Slack.
• Standardized Documentation: Maintain consistent, comprehensive records that are easily retrievable for audits and reviews.
• Data-Driven Decision-Making: Utilize AI-generated insights to improve decision-making and proactively address issues. 
  

Technical Implementation Details

• Infrastructure: This solution requires an external hosting environment, such as Heroku, to run custom code.
• APIs and Integrations: Requires integration with Jira Cloud and OpenAI API for AI functionalities. Ensure you have the necessary API keys and permissions configured.
• Source Code: The complete source code and setup guide are available on GitHub. [View Source Code on GitHub].

Demo Video

Watch the demo to see how the AI-Optimized Incident Management solution transforms your incident handling processes. 

Overview

The Google Drive Expense Logging solution simplifies the process of submitting and managing business expenses within Slack. By integrating Slack’s Workflow Builder with Google Drive and Google Sheets, this solution allows users to submit expenses, upload receipts, and log details directly within Slack, enhancing efficiency and ensuring accurate expense tracking.

Key Features

• Direct Google Drive Integration: Users can upload receipts and invoices directly to Google Drive from Slack, simplifying expense submission.
• Automated Logging in Google Sheets: Automatically logs expense details into Google Sheets, integrating seamlessly with existing financial workflows.
• Customizable Workflows: Adaptable workflows that can be tailored to the specific needs of your finance team. 
  

Customer Benefits

• Streamlined Expense Submission: Reduce the time and effort required to log expenses, making it easier for employees to comply with expense policies.
• Accurate Record-Keeping: Maintain precise and organized records of all expenses, improving transparency and accountability.
• Integration with Existing Tools: Leverage existing investments in Google Drive and Google Sheets, reducing the need for additional software.

Technical Implementation Details

• Infrastructure: Fully hosted within Slack, requiring no external infrastructure.
• OAuth and API Setup: Requires OAuth setup in Google Cloud for authentication and API access to Google Drive and Sheets.
• Source Code: Available on GitHub for review and customization

Demo Video

Watch the demo to see how the Google Drive Expense Logging solution can improve your expense management process.

Overview

The new Agents & Assistants feature provides a foundational framework for developers
to build customized AI agents within Slack, introducing key events and APIs for
interacting with Slack’s new AI container. The AI Agent container enables customers to
connect their custom LLMs or internal databases to meet their organization’s unique
needs. Whether it’s automating workflows, answering queries, or providing intelligent
insights, this solution adapts to specific business requirements meeting the needs of
Mid-Market and Enterprise customers. Customers can either build their own AI agent or
work with Global System Integrators (GSIs) to create enterprise-level AI solutions
tailored to their needs.

Key Features

• Top Navigation Entry Point: AI Agents are easily accessible from the top of the Slack
  web client, allowing users to toggle between multiple agents as needed.
• Split-View Interface: Users can interact with the AI Agent in a persistent split-view
  window, enabling them to multitask while engaging with the agent. The split-view
  remains open as users navigate across Slack.
• Suggested Prompts: AI Agents leverage context to provide dynamic, relevant prompts
  based on user activity in Slack channels and DMs.
• Loading State Indicators: New shimmer UX and typing status indicators help set user
  expectations, showing when the agent is processing and working on a response.
• Thread History and Organization: Each AI Agent conversation is tracked in a thread,
  making it easy for users to revisit past interactions via a dedicated History tab.
  Developers can also customize thread titles to summarize key topics.
• Updated App Home: The AI Agent’s landing page now includes a “Chat” tab for ongoing
  conversations and a “History” tab for previous sessions, creating a more cohesive user
  experience.

Customer Benefits

• BYO-LLM or Internal Databases: Flexibility to use custom LLMs or internal databases for
  creating personalized AI Agents. Future updates to this AI Agent app will enable
  connections to internal databases and custom LLMs.
• Reusable Interface: Slack’s intuitive and flexible interface allows seamless integration
  with custom business workflows and logic.
• Improved User Experience: A streamlined, multitasking-friendly interface allows users to
  interact with AI Agents without disrupting their work.
• Centralized Conversation Management: Users can easily track and reference past AI
  Agent interactions, ensuring better continuity in ongoing projects and discussions.

Technical Implementation Details

• Developer API documentation
• Slack Help Center user documentation
• Template for building Agents and Assistants using Bolt for Python
• Slack Marketplace App Category

Demo Video

Watch the demo video to see how the AI Agents feature makes Slack the conversational interface for AI.