Runwork

Customer Support workflows your team's AI can run

Customer Support work your team's AI can pick up and keep running.

13 recipes found

Predis.ai Telegram

Advanced Telegram bot, ticketing system, liveChat, user management, broadcasting

This automated customer support system transforms Telegram into a high-performance service desk, allowing your team to manage inquiries with machine-like precision. By integrating sophisticated logic gates and data processing, the workflow automatically categorizes incoming messages, filters out noise, and routes critical requests to the right resolution path. It utilizes intelligent batching to handle high volumes of messages without overwhelming your staff, ensuring every customer receives a timely response. The inclusion of persistent data storage means your support history is maintained, allowing for personalized interactions based on previous customer context. This automation eliminates the manual burden of triaging messages, reduces response times, and ensures that your support operations can scale effortlessly as your user base grows. By moving away from manual chat management, your team can focus on solving complex issues rather than administrative sorting.

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Zendesk Telegram BigMailer DaySchedule +2

Zendesk: visual summarization, sentiment analysis, and Slack integration

Managing a high volume of customer support tickets often leads to critical insights being buried in endless threads. This automation bridges the gap between raw support data and actionable intelligence by automatically extracting, summarizing, and organizing Zendesk ticket information. Instead of manually reviewing hundreds of entries, your team receives structured summaries and knowledge graph insights that highlight recurring issues, customer sentiment, and emerging trends. By leveraging advanced data processing, the workflow identifies connections between different support requests that a human might miss. The results are delivered directly to your preferred communication channels like Slack, Telegram, or Gmail, ensuring that leadership and product teams stay informed without ever logging into the helpdesk. This leads to faster decision-making, improved product roadmaps, and a more proactive approach to customer satisfaction.

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Shopify-api-key Zendesk

Sync Shopify orders with Zendesk tickets

This automation bridges the gap between your e-commerce operations and your customer support team by synchronizing Shopify store activity directly with Zendesk. When a specific event occurs in Shopify—such as a new order, a shipment update, or a customer inquiry—the workflow evaluates the data and automatically creates or updates tickets in Zendesk. This ensures that your support agents have immediate visibility into customer actions without manually checking multiple platforms. By automating the flow of information, your business can reduce response times, eliminate manual data entry errors, and provide a more personalized support experience. The integration uses logic to filter important events, ensuring your support queue remains organized and focused on high-priority customer needs. Ultimately, this leads to higher customer satisfaction and a more efficient support operation that scales with your sales volume.

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BigMailer Bot for Slack

AI Gmail support automation with Google Gemini, OpenAI & Pinecone

The Customer Support Agent automation transforms your Gmail inbox into a high-performance support desk. By monitoring incoming customer inquiries in real-time, this workflow eliminates the manual burden of constantly checking email folders. Once a new message arrives, the system immediately notifies your team via Slack and drafts a professional response in Gmail, ensuring that no customer request is overlooked and response times are drastically reduced. This automation bridges the gap between your communication channels, allowing your support team to stay focused on high-value problem solving rather than administrative data entry. By standardizing the initial touchpoint and centralizing notifications, businesses can maintain a consistent brand voice and improve customer satisfaction scores. The result is a more responsive support operation that scales effortlessly without the need for additional headcount, allowing your team to manage higher ticket volumes with greater precision and less stress.

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DaySchedule Microsoft Outlook Email Jira-data-center-api-key

Automatically create JIRA issues from Outlook email support requests

Managing customer support through a shared Outlook inbox often leads to missed messages, manual data entry errors, and duplicate efforts. This automation bridges the gap between your email communication and your technical project management in Jira. By automatically scanning your Microsoft Outlook inbox on a set schedule, the workflow identifies new support requests, cleans the data to prevent duplicate entries, and converts them into structured Jira issues. This ensures that every customer concern is tracked, assigned, and prioritized without a human having to copy and paste information. By centralizing support requests directly into your development or service desk queue, your team can respond faster and maintain a single source of truth for all customer issues. This results in improved resolution times, better accountability, and a more organized workflow for both support agents and engineering teams.

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Google Sheets Bot for Slack Zendesk DaySchedule

Monitor Zendesk churn risk signals, log in Sheets, and alert team in Slack

This automation transforms your customer support data into a proactive retention tool. By continuously monitoring Zendesk tickets for specific churn indicators—such as negative sentiment, frequent escalations, or mentions of competitors—the system identifies at-risk accounts before they decide to leave. Instead of relying on manual audits or accidental discoveries, your Customer Success team receives real-time alerts directly in Slack. This ensures that high-priority issues are addressed immediately, allowing your team to intervene during the critical window when a customer's loyalty is wavering. The integration also logs these signals into a Google Sheet, providing your leadership team with a clear audit trail of account health trends over time. By automating the detection of dissatisfaction, you empower your team to focus on relationship building and strategic recovery rather than manual data mining. The result is a more responsive support organization, higher customer lifetime value, and a significant reduction in unexpected churn. This workflow bridges the gap between support operations and success management, ensuring no red flag goes unnoticed.

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Typeform Google Sheets Bot for Slack

Send Typeform results to Google Sheet, Slack and email

This intelligent automation captures Typeform submissions and logs them directly into Google Sheets for organized record-keeping. It evaluates the severity of each entry, instantly alerting the team via Slack for critical issues or sending a summary email for standard updates. It is a perfect solution for teams looking to implement a tiered response system for incoming feedback or support tickets.

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Telegram BigMailer Google Sheets

Automated customer feedback triage with Gemini, Jotform, Google Sheets & Gmail replies

Managing customer inquiries across different platforms often leads to slow response times and lost data. This automation bridges the gap between your intake forms and your team's communication tools. When a customer submits a form via Jotform, the system immediately categorizes the request and routes it to the appropriate channel. High-priority issues trigger instant alerts in Telegram, while standard inquiries are logged in Google Sheets for record-keeping and reporting. Simultaneously, the system sends personalized email confirmations through Gmail to reassure customers that their request is being handled. By centralizing support requests, your team eliminates the need for manual data entry and constant tab-switching. This results in faster resolution times, better team accountability, and a professional experience for your clients. Whether you are managing a small help desk or a growing sales team, this workflow ensures that every submission is captured, tracked, and addressed without manual intervention. This process transforms a simple form into a robust support management system that scales with your business needs.

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Zendesk HTTP / Webhook Bot for Slack

Sync Zendesk tickets to Slack thread

Managing customer support requests shouldn't require your team to constantly refresh a browser tab. This automation bridges the gap between your Zendesk help desk and your Slack workspace, ensuring that critical customer feedback and urgent support tickets are delivered directly to the people who can solve them. By integrating these platforms, your business eliminates the communication silos that often lead to delayed response times and frustrated customers. When a ticket meets specific criteria—such as high priority or a specific keyword—this workflow automatically processes the data and alerts the relevant Slack channel with all the necessary context. This allows your team to collaborate on solutions in real-time within their existing communication hub. The result is a more agile support operation that prioritizes the customer experience while reducing the administrative burden on your staff. Beyond simple notifications, the automation uses intelligent logic to filter and format information, so your team receives actionable insights rather than just noise. By streamlining the flow of information from Zendesk to Slack, you empower your support, product, and engineering teams to work together more effectively, ultimately driving higher customer satisfaction and retention rates.

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Jira-data-center-api-key BigMailer DaySchedule

Daily Jira ticket summarizer using GPT-5 and Jira API

This automation streamlines the communication gap between technical support teams and customer-facing departments. By connecting Jira and Gmail, the workflow automatically aggregates ticket statuses and updates, ensuring that stakeholders receive timely information without manual intervention. Instead of support agents spending hours drafting individual emails or copying data from Jira boards, this tool gathers relevant ticket details, organizes them into structured summaries, and handles the distribution. This process significantly reduces administrative overhead, eliminates the risk of human error in reporting, and ensures that customers are never left in the dark regarding their requests. The result is a more responsive support operation that prioritizes issue resolution over manual data entry, leading to higher customer satisfaction and better internal alignment.

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Google Sheets

Automate multi-channel customer support with WhatsApp, email & AI translation

The Multi-language Customer Support Automation bridges the gap between your global customer base and your support team by removing language barriers in real-time. This system automatically monitors incoming inquiries from WhatsApp and email, detects the language of the sender, and translates the content into your team's preferred language. By centralizing all communications into a Google Sheets database, your team gains a single source of truth for every customer interaction regardless of the original platform. This automation ensures that no customer is left waiting due to a language mismatch, significantly reducing response times and improving satisfaction scores. It empowers your existing staff to provide high-quality support to international markets without the immediate need for multilingual hires, allowing your business to scale globally with minimal overhead.

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DaySchedule Telegram

Real-time Vtiger support tickets to Telegram with auto status updates

Managing customer support shouldn't require your team to be tethered to a desktop CRM all day. This automation bridges the gap between your Vtiger CRM and your mobile workforce by delivering critical support ticket updates directly to Telegram. By monitoring your support queue on a scheduled basis, the system identifies new or high-priority tickets and instantly broadcasts them to your designated Telegram channel. This ensures that your support engineers and customer success managers stay informed about urgent issues regardless of their location. The automation eliminates the manual effort of checking for updates, reducing response times and preventing tickets from falling through the cracks. Beyond simple notifications, the logic within the workflow allows for status-based filtering, meaning your team only receives alerts for the tickets that truly matter. This streamlined communication flow empowers your team to provide faster, more responsive service, directly impacting customer retention and satisfaction scores. By transforming your CRM data into actionable mobile alerts, you turn a passive support queue into a proactive customer service engine.

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Bot for Slack

Manage WhatsApp chats centrally on Slack

This automation bridges the gap between your customers on WhatsApp and your internal team on Slack, creating a unified communication hub. Instead of forcing support agents to monitor multiple devices or browser tabs, all incoming WhatsApp inquiries are instantly routed to a dedicated Slack channel. Your team can read, discuss, and respond directly from Slack, and the message is delivered back to the customer on WhatsApp in real-time. This ensures that no customer message is missed and that your team maintains a single source of truth for all external communications. By centralizing these interactions, you reduce response times and improve the quality of support through collaborative internal discussion before sending a reply. The integration also allows for data retrieval via external requests, meaning you can pull customer account details or order history automatically to provide context for every conversation. This creates a professional, high-touch experience for your customers while significantly streamlining the internal workload for your staff, allowing them to focus on resolution rather than platform switching.

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Why Runwork for Customer Support

Anyone on the team can use it

You get forms and dashboards people can open, not workflow logic buried in a tool one person knows.

Your own agent adapts it

Claude, ChatGPT, Cursor, whichever your team already uses. Tell it what is different about your process.

It keeps running

It lives in your team cloud and runs on schedule, so it does not stop the moment someone closes a laptop.

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