ClickUp and OpenAI integration

Overview Stop spending hours formatting proposals. This workflow turns a short post-call form into a high-converting, fully-personalized PandaDoc proposal—plus updates your CRM and drafts the follow-up email for you. After a sales call, just fill out a 3-minute form summarizing key pain points, solutions pitched, and the price. The workflow uses AI to generate polished proposal copy, then builds a PandaDoc draft using dynamic data mapped into the JSON body (which you can fully customize per business). It also updates the lead record in ClickUp with the proposal link, company name, and quote—then creates an email draft in Gmail, ready to send. Who’s it for Freelancers and consultants sending service proposals Agencies closing deals over sales calls Sales reps who want to automate proposal follow-up Teams using ClickUp as their lightweight CRM How it works After a call, fill out a short form with client details, pitch notes, and price AI generates professional proposal copy based on form input Proposal is formatted and sent to PandaDoc via HTTP request ClickUp lead is updated with: Company Name Proposal URL Quote/price A Gmail draft is created using the proposal link and a thank-you message Example use case > You hop off a call, fill out: > - Prospect: Shopify agency > - Pain: No lead gen system > - Solution: Automated cold outreach > - Price: $2,500/month > > 3 minutes later: PandaDoc proposal is ready, CRM is updated, and your email draft is waiting to be sent. How to set up Replace the form with your preferred tool (e.g. Tally, Typeform) Connect PandaDoc API and structure your proposal template Customize the JSON body inside the HTTP request to match your business Link your ClickUp space and custom fields Connect Gmail (or other email tool) for final follow-up draft Requirements Form tool for capturing sales call notes OpenAI or LLM key for generating proposal copy PandaDoc API access ClickUp custom fields set up for lead tracking Gmail integration How to customize Customize your PandaDoc proposal fields in the JSON body of the HTTP node Replace ClickUp with another CRM like HubSpot or Notion Adjust AI tone (casual, premium, corporate) for proposal writing Add Slack or Telegram alerts when the draft is ready Add PDF generation or auto-send email step

How it works This workflow monitors a Discord channel on a schedule and processes recent messages automatically. Each message is checked against a data table to prevent duplicate processing. New messages are analyzed using an AI model to extract structured task details like assignee, priority, and deadlines. The workflow then formats this data and creates a corresponding ClickUp task with full context. Step-by-step Trigger and fetch messages** Schedule Trigger – Runs the workflow every minute. Get many messages – Retrieves the latest Discord messages from a selected channel. Process messages in batches** Loop Over Items – Iterates through each message one at a time for controlled execution. Check for duplicates** Get row(s) – Searches the data table for existing message IDs. If – Filters out messages that have already been processed. Store new messages** Insert row – Saves new message details (ID, author, content) to the data table. Generate task metadata with AI** Message a model – Uses OpenAI to extract structured task data like assignee, priority, estimate, and deadlines. Format task data** Format Task – Converts AI output into ClickUp-compatible fields and formats. Create ClickUp task** Create ClickUp Task – Creates a new task with assignees, dates, priority, and message context. Why use this? Eliminates manual ticket creation from Discord support messages Ensures no duplicate tasks with built-in tracking logic Automatically assigns tasks based on AI-driven classification Improves response time and team accountability Scales support operations without additional overhead

How it works This workflow runs on a schedule to collect task data from ClickUp and evaluate employee performance using AI. Tasks are analyzed to generate structured summaries, productivity metrics, and KPI scores. JavaScript logic refines and standardizes the results. The final performance data is stored in Google Sheets as a live KPI dashboard. Step-by-step Step 1: Collect ClickUp task data** Schedule Trigger – Starts the workflow automatically at defined intervals. Get many folders – Fetches all folders from the selected ClickUp space. Loop Over Items – Iterates through folders to process tasks sequentially. Get many tasks – Retrieves tasks associated with each folder or list. Step 2: Analyze tasks and compute KPIs** Message a model – Sends task details to an AI model to generate summaries and raw performance metrics. Code in JavaScript – Parses AI output, recalculates KPI scores, and assigns standardized ratings. Step 3: Update employee KPI dashboard** Append or update row in sheet – Writes or updates task and employee performance data in Google Sheets. Why use this? Automates employee performance tracking without manual reporting. Produces consistent KPI scores across all ClickUp tasks. Helps managers quickly identify overdue or high-priority work. Keeps Google Sheets dashboards continuously up to date. Improves visibility into productivity and task execution trends.

Overview: Automated Vacancy Launch & AI Marketing This workflow streamlines the entire job opening process by connecting your ATS to your operational and marketing tools. It not only manages deadlines but also automates the promotion of the vacancy. Key Features: Schedule: Creates SLA and Expiration events in Google Calendar based on ATS dates. Track: Creates a central task in ClickUp to manage the selection process. Content Generation: Uses GPT-4o to analyze the job description and write a compelling marketing post. Publish: Automatically posts the job to LinkedIn and logs the action back in the ClickUp task. Setup Instructions Webhook: Configure your Recrutei ATS (or similar) to trigger this workflow. Google Calendar: Select the calendar for deadline tracking. ClickUp: Map the Team, Space, and List where vacancy tasks should be created. OpenAI: Ensure you have a valid API Key. LinkedIn: Connect your profile or company page.

How it works This workflow automates customer feedback management by capturing reviews through a form, analyzing them with AI for sentiment and insights, and then creating structured tasks across Monday.com, ClickUp, and HubSpot. It ensures that customer concerns are categorized, prioritized, and assigned to the right teams with actionable metadata. Step-by-step Trigger & Input The workflow starts when a customer submits the Feedback Form containing their Name, Message, Rating, and Product/Service. The submitted data is pre-processed with a Code node to cleanly extract fields for analysis. AI Analysis & Processing The extracted review is sent to OpenAI GPT-4 for analysis. AI identifies sentiment, sentiment score, category (e.g., product, service, support, delivery, pricing), department, priority, required actions, keywords, and suggested response tone. A Data Processing node enriches the output with due dates, task titles, structured descriptions, and fallback handling in case of parsing issues. Structured Output Generation An AI Agent and OpenAI Chat model transform the enriched data into a strict JSON format that is compatible with Monday.com, ClickUp, and HubSpot. This ensures consistent field order, formatting, and metadata for all downstream integrations. Task Creation in Platforms The structured task data is automatically pushed to: Monday.com → Creates an item in a specified board. ClickUp → Creates a task with mapped fields and priority. HubSpot → Creates an engagement task in CRM with due date and priority. Benefits Automates end-to-end customer feedback analysis and task creation. Ensures structured, AI-driven insights for actionable responses. Reduces manual work in categorizing and assigning reviews. Keeps customer feedback synchronized across multiple platforms (Monday.com, ClickUp, HubSpot). Improves response time by prioritizing high-impact feedback with due dates.