Efficiency Reimagined: Where AI Meets Action to Supercharge Research, Support, and Operations
Automated Research Paper Classification
This automation streamlines research document management by automatically processing uploaded research papers through AWS Comprehend’s batch classification system and providing comprehensive tracking and team notifications.
How the automation works:
When a new research paper is uploaded to Google Drive, the automation immediately uploads the document to an Amazon S3 bucket to prepare it for AWS Comprehend processing. It then initiates a document classification job in AWS Comprehend to analyze the research paper content. The system enters a monitoring loop that checks the job status every hour until the classification process is complete. Once the classification job finishes, the automation retrieves the detailed results from AWS Comprehend, logs all job details including the job ID, status, completion date into a Google Sheets tracking system. Finally, it sends a email notification via Gmail to the concerned team, providing them with the job completion details and access to the classification results.
Why this automation is impactful:
This automation revolutionises research document management by eliminating the manual process of setting up and monitoring document classification jobs. By leveraging AWS Comprehend’s batch processing capabilities, it provides automated analysis of research documents without requiring constant manual oversight. The automated tracking system in Google Sheets creates a comprehensive audit trail of all classification jobs, while the team notifications ensure researchers are immediately informed about completed processing jobs. This automation significantly improves research efficiency by providing automated document analysis capabilities and enables better research workflow management by ensuring all classification jobs are properly tracked and communicated to the team.
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Feel free to check out the recipe here for a ready-to-use version that you can easily duplicate and implement.
Real-Time Customer Support Escalation
This automation intelligently processes incoming customer support emails, automatically classifying their urgency and sentiment to ensure critical issues receive immediate attention while maintaining efficient customer service operations.
How the automation works:
When a new customer support email arrives in Gmail, the automation immediately downloads any email attachments and uses AWS Comprehend to analyze the email content for both urgency classification and sentiment analysis. The system then applies intelligent decision-making logic to determine if the email requires escalation based on two key criteria: whether the email is classified as urgent or if the sentiment score indicates negative customer sentiment. If either condition is met, the automation automatically creates a support ticket in Zendesk with all relevant details, posts a notification message in Slack to alert the concerned support team about the new escalated issue, and sends a follow-up email to the customer via Gmail confirming that their issue has been escalated and will receive priority attention.
Why this automation is impactful:
This automation transforms customer support operations by eliminating manual email triage and ensuring no critical customer issues go unnoticed. By leveraging AI-powered classification and sentiment analysis, it provides instant, accurate assessment of customer communications, enabling support teams to prioritize urgent and negative cases immediately. The automated escalation process reduces response times, improves customer satisfaction, and ensures consistent handling of support requests. The integration with Zendesk, Slack, and Gmail creates a seamless workflow that keeps all stakeholders informed while providing customers with immediate confirmation that their concerns are being addressed, ultimately enhancing the overall customer experience and operational efficiency.
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Feel free to check out the recipe here for a ready-to-use version that you can easily duplicate and implement.
Automated Contact Migration: Efficiently Sync Users to Zoho
This automation monitors newly created users in Clarity and ensures they are properly recorded in Zoho Contacts. It identifies whether a user already exists and takes the appropriate action based on their status, streamlining the user migration process.
How the automation works:
When a new user is created in Clarity, the automation checks Zoho Contacts to see if the user already exists. If present, an email is sent confirming that migration is complete. If not, a new contact is created. The system then checks if the user is internal; if so, a Slack notification is sent to the relevant team. Finally, an email is sent to notify the user of the completed migration.
Why this automation is impactful:
This workflow eliminates manual steps in managing user migrations, ensuring data consistency between Clarity and Zoho Contacts. It keeps internal teams informed via Slack notifications and provides users with timely updates through email. The result is faster onboarding, better communication, and organized record-keeping without human intervention.
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Feel free to check out the recipe here for a ready-to-use version that you can easily duplicate and implement.
Intelligent Project Documentation: Automating Project Reports with AI
This automation simplifies project reporting by automatically generating detailed documentation whenever a new project is created or updated in Clarity. Instead of manually drafting reports, the system fetches the latest project data and uses AI to transform it into a comprehensive, well-structured document that follows a professional reporting format. This ensures every project has consistent, clear, and up-to-date documentation.
How the automation works:
The workflow is triggered whenever a new project is received or updated in Clarity. Once triggered, it fetches all relevant project details in JSON format. Using the Workato AI tool, the JSON data is converted into a full-fledged report that includes key sections such as Project Overview, Objectives, Workflow, Key Automations, Benefits, and Conclusion. After the AI generates the report, it is automatically shared with the respective project owners and team members via email or other communication channels, ensuring everyone stays informed.
Why this automation is impactful:
This recipe eliminates the time-consuming task of manually preparing project documentation, reducing human error and improving reporting accuracy. By integrating Clarity with Workato’s AI and automated communication channels, it ensures that all stakeholders receive timely, detailed, and standardized project updates. The result is faster documentation, improved transparency, and enhanced collaboration across project teams.
Start building in Workato
Feel free to check out the recipe here for a ready-to-use version that you can easily duplicate and implement.