Add new clients from Notion to Clockify
Who is this template for? This workflow template is ideal for anyone using Notion for project management and Clockify for time tracking. The workflow automatically adds all new clients from Notion to Clockify. How it works Scans your Notion client table every minute for new clients Adds all new clients to your Clockify workspace Set up Steps Set up the Notion trigger node by adding your Notion API credentials as described in the n8n Notion docs. Go to your Notion clients page/table and give your integration permission to acces the data on this page. Go back to n8n and select your Notion client page in the Notion trigger node. Set up the Clockify node by adding your Clockify API credentials as described in the n8n Clockify docs, select your Clockify workspace and map your client name column from Notion to the Clockify "Client Name" field.
By ManuelAi-powered lead research & qualification using Relevance AI
Lead Qualification & Smart Outreach β Automated Scoring System Automate your lead intake, scoring, and outreach pipeline. This workflow collects leads from forms, enriches and scores them using Relevance AI, routes them by quality, and triggers the right follow-up β all without manual busywork. --- π What it Does Collects leads from your forms in real-time. Enriches each lead (individual + company) for better context. Scores leads automatically using Relevance AI templates. Routes leads into HOT / WARM / COLD tiers for prioritization. Drafts or sends personalized outreach emails for each tier. Logs all leads and outcomes into your CRM or Google Sheets. Notifies your team (e.g., via Slack) when a hot lead arrives. --- 𧩠Why Use It Save time: stop manually sorting through raw leads. Focus on the best opportunities: route only top leads to your sales team. Personalized outreach: automated but tailored by lead quality. Scalable & repeatable: works for startups, agencies, or larger teams. Adaptable: swap CRMs, forms, or email providers easily. --- π§ Prerequisites & Setup Before importing or running the workflow, set up these connections: Relevance AI Clone the tools (Resources provided in the workflow) for lead scoring and company scoring, and copy your API key into the HTTP Request nodes. Form Intake Use n8nβs built-in form trigger or connect Typeform, Tally, HubSpot Forms, or any webhook-based intake. CRM or Database Start with Google Sheets (included in the sample workflow) or connect HubSpot, Salesforce, Pipedrive, Zoho, Airtable, Notion, or any SQL/NoSQL DB. Email Provider Use Gmail (included), or swap in Outlook, HubSpot Email, SendGrid, Mailgun, etc. Team Notifications (Optional) Configure Slack (or other tools) for instant alerts on hot leads. --- βοΈ How It Works (Simplified Flow) Lead Intake: Collects leads from your form or CRM. Lead Enrichment: Uses Relevance AI to score: Individual Fit: role, expertise, influence. Company Fit: size, industry, market relevance. Scoring & Insights: Combines both into a final lead score with labels and notes. Routing: Splits leads into HOT / WARM / COLD tiers. Outreach: HOT β drafts a review-ready email for your team. WARM / COLD β auto-sends appropriate follow-up emails. Logging & Alerts: Saves structured data to your CRM or sheet and notifies your team of hot leads. --- πββοΈ Who is This For Startups & SaaS teams that need to prioritize a flood of inbound leads. Agencies & consultancies qualifying prospects from ads or webinars. Small sales teams that want to spend time only on the best leads. Freelancers or solopreneurs who want a lightweight but effective qualification process. Automation newbies who want a production-ready system to sell for 1k-3k --- π‘ Why It Stands Out Real intelligence: uses data-driven Relevance AI scoring rather than static rules. Action-oriented: routes and triggers the right next step immediately. Personalized yet scalable: adapts outreach to each lead tier. Flexible integrations: works with most popular CRMs, forms, and email tools. --- π₯ Best Practices & Tips Adjust the weighting of individual vs. company scores in your Relevance AI template (default: 40% vs 60%). Tune Router thresholds (e.g., HOT β₯ 80, WARM 60-79, COLD < 60) to match your sales goals. Add a human approval step for high-value deals. Expand with enrichment APIs (e.g., Clearbit, Apollo) for richer lead data. Keep all API keys private and out of screenshots or repos. --- π With this workflow, Sales teams can focus on building relationships β while the system qualifies and organizes leads automatically OR You can sell to sales teams for ~3k --- Note: Demo data is pinned in some nodes to help you understand what the data looks like. Make sure to unpin those nodes when using for production.
By Diptamoy BarmanPersonalize candidate feedback with GPT-4o, Google Sheets & Gmail for HR teams
Description This workflow automates personalized candidate communication for both shortlisted and rejected applicants. It fetches candidate details, processes resumes, checks for errors, and uses GPT-4o to generate professional HTML emails. Shortlisted candidates receive congratulatory onboarding plans, while rejected candidates receive polite rejections with learning resources. What This Template Does (Step-by-Step) β‘ Manual Trigger β Starts the workflow execution. π Candidate Data Fetch (Google Sheets) β Pulls structured candidate data (name, email, resume link, skills, job info, status). π₯ Resume Downloader (Google Drive) β Downloads candidate resumes from sheet links. β Resume File Check (If Condition) β Ensures the resume file is valid before proceeding. β οΈ Error Logging (Google Sheets) β Records failed or missing resumes in a dedicated sheet for audit. π PDF β Text Extractor β Extracts raw resume text for deeper AI analysis. 𧩠Candidate Data Builder (Code Node) β Combines Google Sheets data with extracted resume text into a single enriched JSON object. π― Shortlisted vs Rejected (If Condition) β Splits candidates into two flows based on their status field. Shortlisted Path π Congrats + Onboarding Plan (LLM Chain) β GPT-4o generates a congratulatory HTML email including: Identified skill gaps Recommended online courses (Coursera/Udemy/LinkedIn Learning) Next onboarding steps π§ Candidate Mailer β Shortlisted (Gmail) β Sends the onboarding email directly to the candidate. Rejected Path π Polite Rejection + Learning Plan (LLM Chain) β GPT-4o generates a professional rejection email including: Empathetic rejection message Constructive feedback on skill gaps Learning resources to improve for future opportunities π§ Candidate Mailer β Rejected (Gmail) β Sends the polite rejection + learning plan to the candidate. Prerequisites Google Sheets (candidate database + error log) Google Drive (resume storage) Gmail API (for sending candidate emails) Azure OpenAI (GPT-4o-mini model access) Key Benefits β Automates candidate communication (both shortlisted & rejected) β Delivers professional, HTML-ready emails β Enhances candidate experience with personalized learning plans β Prevents silent rejections by providing constructive resources β Improves employer branding with empathetic communication β Error resilience via logging and validation steps Perfect For Recruitment teams managing high candidate volume Companies looking to humanize rejections HR departments that want automated but personalized communication Organizations investing in candidate experience & employer brand
By Rahul JoshiMonitor compliance with GPT-4 analysis of system logs and generate audit reports
How It Works This solution centralizes communication data from Slack, Microsoft Teams, Gmail, and GitHub into a unified AI-powered analysis and documentation workflow for teams managing distributed knowledge. Manual aggregation across multiple tools is time-consuming and leads to information silos that obscure key decisions and context. By automating secure data collection and normalization, the workflow enables AI models to analyze conversations, extract decisions, action items, and key themes, and convert these insights into continuously updated documentation such as design notes and knowledge base articles. This improves visibility, preserves organizational knowledge, and supports more effective collaboration and decision-making. Setup Steps Connect credentials: Slack App API, Microsoft Teams credentials, Gmail OAuth, GitHub Personal Access Token, Anthropic API key Configure monitoring parameters: Specify channels, repositories, and email labels to track *Set schedule triggers: Prerequisites Slack workspace admin, Teams account, Gmail account, GitHub repository access, Anthropic API subscription, Notion workspace, n8n self-hosted or cloud instance. Use Cases Marketing teams aggregating customer feedback across channels; Documentation teams collecting technical updates; Customization Modify source integrations by adding/removing trigger nodes. Adjust AI prompts in Anthropic node for different analysis types. Benefits Saves 5+ hours weekly on manual data collection. Ensures no communication missed across platforms.
By Cheng Siong Chin