by Marth
Website Lead Notification System Let's build this simple and high-value workflow. Here is a detailed, node-by-node explanation of how it works and how to set it up in n8n. How It Works This workflow acts as a bridge between your website's contact form and your sales team. It waits for a submission from your website via a Webhook. As soon as a new lead fills out the form, the workflow instantly captures their data and sends a formatted notification to your team's Slack channel. This ensures your team can respond to new leads in real time, without any delays. Setup Steps 1. Webhooks Trigger: Receive Website Form Submissions Node Type:** Webhook Trigger Parameters:** HTTP Method: POST Path: new-lead Explanation:** This node is the starting point. It creates a unique URL that you will use in your website's form submission settings. When a visitor submits your form, the data is sent to this URL as a POST request, triggering the workflow. 2. Slack: Notify Sales Team Node Type:** Slack Credentials:** YOUR_SLACK_CREDENTIAL Parameters:** Operation: Post Message Channel: YOUR_SALES_CHANNEL_ID (e.g., #sales-leads) Text: `New Website Lead! - Name: {{ $json.name }} Company: {{ $json.company }} Email: {{ $json.email }} Message: {{ $json.message }}` Explanation:** This node sends a formatted message to your designated Slack channel. The curly braces {{ }} contain n8n expressions that dynamically pull the data (name, company, email, etc.) from the website form submission. 3. Google Sheets: Archive Lead Data (Optional) Node Type:** Google Sheets Credentials:** YOUR_GOOGLE_SHEETS_CREDENTIAL Parameters:** Operation: Add Row Spreadsheet ID: YOUR_SPREADSHEET_ID Sheet Name: Leads Data: Name: ={{ $json.name }} Email: ={{ $json.email }} Date: ={{ $now }} Explanation:** This is an optional but recommended step. This node automatically adds a new row to a Google Sheet, creating a clean, organized archive of all your website leads. 4. Gmail: Send Automatic Confirmation Email (Optional) Node Type:** Gmail Credentials:** YOUR_GMAIL_CREDENTIAL Parameters:** Operation: Send To: ={{ $json.email }} Subject: Thanks for contacting us! Body: Hi {{ $json.name }}, thanks for reaching out. We've received your message and will get back to you shortly. Explanation:** This node provides a quick and professional automated response to the new lead, confirming that their message has been received. Final Step: Activation After configuring the nodes, click "Save" at the top of the canvas. Click the "Active" toggle in the top-right corner. The workflow is now live and will listen for new form submissions. Remember: You need to configure your website's form to send a POST request to the URL from your Webhook Trigger node.
by Dhruv Mali
Description This workflow acts as your automated HR assistant, scanning for employee milestones and posting AI-generated celebration messages to Google Chat. How it works Daily Scan:** Checks your Google Sheet every morning to identify birthdays and work anniversaries. AI Drafting:* Uses *Google Gemini** to write unique, warm messages for each employee, ensuring wishes never sound robotic or repetitive. Delivery:* Automatically posts the message to your team's *Google Chat** space and logs the activity. Set up steps Connect Accounts: Set up credentials for Google Sheets and Google PaLM/Gemini. Configure Settings: Open the SET-BIRTHDAY and SET - ANNIVERSARY nodes to enter your Agency Name and Google Chat API details (Space ID, Key, Token). Prepare Data: Ensure your Google Sheet contains columns for employee names, dates of birth, and joining dates.
by Anshul Chauhan
π€ Automated YouTube Script Generator (Shorts & Long-Form) This workflow is a content multiplier. Provide a single video topic via a form, and it automatically researches, outlines, and writes two separate scripts: one for a YouTube Shorts and another for a Long-form video, saving both directly to Google Docs. β¨ Key Features Dual-Format Output:** Creates tailored scripts for both Shorts and long-form videos from one idea. AI-Powered Writing:* Uses *Google Gemini** for all creative steps, from building a structured outline to writing the final scripts. Up-to-Date Research:* Integrates *Tavily AI** to pull fresh, relevant information from the web. Fully Automated:** An end-to-end process that takes a form submission and delivers final documents to your Google Drive with no manual steps. βοΈ How It Works After a topic is submitted, the workflow splits into two parallel branches: The Shorts Branch: This path is built for speed. It performs a quick web search and immediately uses an AI agent to write a short, punchy script. The Long-Form Branch: This path focuses on structure. It conducts a web search, uses an AI agent to first create a detailed outline, and then uses another AI agent to write a comprehensive script based on that outline. π Prerequisites An active n8n instance. A form to submit your video topic. API keys for Tavily AI and Google Gemini. Google Account credentials (OAuth2) configured in n8n for Google Docs. π οΈ Setup Guide On form submission Trigger: Configure your form to accept a field for your video topic (e.g., a field named topic). Tavily Nodes: In both Tavily nodes, select or create your Tavily API credential and paste in your API key. Google Gemini Chat Model: In the nodes labeled AI Agent and Create Outline, select your Google AI credential linked to your Gemini API key. Google Docs Nodes: For all four Google Docs nodes (Create Doc, Update Doc, etc.), select your Google OAuth2 credential. Activate the Workflow: Once all credentials are in place, save and activate the workflow. π How to Use Activate the workflow. Submit your topic via the connected form. Check your Google Drive a few moments later for your the new script!
by GreatStack
WhatsApp AI Assistant for Clinic Appointment Booking Automate your entire appointment lifecycle with an intelligent AI assistant that lives on WhatsApp. This workflow empowers any clinic or independent practitioner to manage bookings, take payments, and send reminders without manual intervention, using Google Sheets as a simple database. This template handles everything from the initial booking conversation to sending the final reminder, allowing you to focus on your patients, not your schedule. Features π€ Conversational AI Booking: A Google Gemini-powered agent guides patients through booking, rescheduling, and canceling appointments in a natural, friendly chat. ποΈ Smart Scheduling: The AI checks for available slots based on your working hours and existing appointments in Google Sheets, preventing double-bookings. π Automated Reminders: A daily trigger automatically sends WhatsApp reminders to patients for their appointments on that day, reducing no-shows. π³ Seamless Payments: Integrated with Stripe to handle online payments. The workflow sends a confirmation message upon successful payment. π Centralized Management: Uses a single Google Sheet with separate tabs for Patients, Appointments, and Configuration, making it easy to view and manage all your data. π Easy Rescheduling & Cancellations: Patients can manage their own bookings through the WhatsApp chat, and all changes are instantly reflected in your Google Sheet. Prerequisites Before you begin, you will need the following accounts and credentials: n8n Account: A running n8n instance (cloud or self-hosted). WhatsApp Business Account: Access to the WhatsApp Cloud API. Google Account: For using Google Sheets and the Google Gemini (AI) API. Stripe Account: To process online payments. n8n Credentials: You must configure credentials in your n8n instance for: WhatsApp Cloud API Google Sheets (OAuth2) Google Gemini API Stripe Setup Instructions Follow these steps carefully to get your automated assistant up and running. Step 1: Set Up Your Google Sheet This workflow relies on a specific Google Sheet structure. Create a new Google Sheet. Rename the sheet to something memorable, like "Clinic Appointments". Create three tabs at the bottom with the exact names: Patients, Appointments, and Config. Set up the columns for each tab as follows (the header names must be an exact match): Patients tab: patient_id, whatsapp_number, name, age, gender Appointments tab: appointment_id, patient_id, whatsapp_number, date, time, payment_method, payment_status, status, stripe_payment_intent Config tab: key, value (Add a row with working_hours as the key and a value like 10:00-18:00) Step 2: Configure the Workflow Nodes Now, you'll link the workflow to your accounts and your new Google Sheet. Update All Google Sheets Nodes: Go through every Google Sheets node in the workflow (e.g., "Get Appointment sheet", "Add Patient", "Google Sheets Trigger") and do the following: Select your Google Sheets credential from the dropdown. In the Document ID field, paste the ID of your Google Sheet. Select the correct sheet (Appointments, Patients, etc.) from the Sheet Name dropdown. Update All WhatsApp Nodes: Go through every WhatsApp node (e.g., "Send message", "WhatsApp Trigger", "Send Payment Confirmation"): Select your WhatsApp credential. Enter your Phone Number ID from your Meta for Developers account. Update AI & Stripe Nodes: In the Google Gemini Chat Model nodes, select your Google Gemini credential. In the Stripe Trigger node, select your Stripe credential. Step 3: Activate the Workflow Click Save to apply your changes. Click the Activate toggle in the top-right corner to turn the workflow on. Your AI appointment assistant is now live! Send a message to your WhatsApp number to begin testing. Customization Change Reminder Time: To change the daily reminder time, open the Schedule Trigger node and adjust the hour from the default of 8 AM. Edit AI Personality: To modify how the AI communicates, edit the system message in the AI Agent node (the one connected to the WhatsApp Trigger). You can change its tone, instructions, or language.
by MUHAMMAD SHAHEER
Overview This workflow automates the process of turning your video transcripts into platform-specific social media posts using AI. It reads any uploaded transcript file, analyzes the text, and automatically generates full-length, engaging posts with image prompts for Facebook, LinkedIn, Instagram, Reddit, and WhatsApp. Perfect for creators, marketers, and automation builders who want to repurpose long-form content into viral posts, all in one click. How it Works The Manual Trigger starts the workflow. The Read Binary File node imports your video transcript (TXT format). The Move Binary Data and Set nodes convert it into a text string for processing. The AI Agent (LangChain) powered by Groq AI analyzes the transcript and generates human-like social media posts with realistic image prompts. The Function Node parses and structures the output by platform. The Google Sheets Node automatically saves all content β ready for scheduling or publishing. The SerpAPI Integration enhances contextual awareness by referencing real-time search trends. Set Up Steps Setting up this workflow typically takes 5β10 minutes. Connect your Google Sheets account (OAuth2). Connect your Groq AI and SerpAPI credentials. Upload your transcript file (e.g., from YouTube or podcast). Run the workflow to instantly generate platform-specific posts and prompts. View all results automatically saved in Google Sheets. Detailed instructions are included as sticky notes inside the workflow. Use Cases Turn YouTube videos or podcasts into multi-platform social content Auto-generate daily social posts using transcripts Build AI-powered repurposing systems for agencies or creators Save creative teams hours of manual copywriting work Requirements n8n account (self-hosted or cloud) Groq AI API Key SerpAPI Key (for optional trend enhancement) Google Sheets connection
by Hirokazu Kawamoto
How it works This workflow fetches RSS feeds daily and sends a notification to Slack if new topics are found. Since standard RSS snippets are often insufficient, the AI visits the source links to summarize the full articles and sends the summaries to Slack. You can then share interesting topics directly to X from Slack using the button. How to use Open the Gemini Chat Model node (attached to the AI Agent) and set up the Credential. You can obtain an API key from Google AI Studio. Open the Slack node and set up the Credential to allow sending messages. You can create a new Slack App here. Finally, open the Config node and update the rssUrls parameter with the RSS feed URLs you want to follow. Customizing this workflow You can adjust the number of topics fetched per RSS feed by modifying the takeCount parameter in the Config node.
by Avkash Kakdiya
How it works This workflow automatically syncs new Productboard features into Linear as issues and notifies the team via Telegram. It starts on a schedule, fetches Productboard features through API requests, and transforms the raw data into clean, structured fields. Newly created features are filtered, then inserted into Linear, and a success message is sent to Telegram for confirmation. Step-by-step 1. Trigger and fetch data Schedule Trigger** β Starts the workflow at predefined intervals. HTTP Request to Productboard** β Pulls the latest features from the Productboard API. 2. Transform and clean data Code (Transform Features)** β Strips HTML, formats dates, and extracts clean fields like name, description, status, owner, and link. 3. Filter for new items If (Filter New Features)** β Compares createdAt with todayβs date, allowing only new features to proceed. 4. Create issues in Linear Create Linear Issue** β Opens a new Linear issue using the featureβs name and description. 5. Notify via Telegram Success Notification (Telegram)** β Sends a confirmation message once the sync is successful. Why use this? Automates the sync of Productboard features into Linear without manual copying. Ensures only new features are captured, preventing duplicates. Keeps your team updated instantly through Telegram notifications. Saves time by standardizing data and formatting before inserting into Linear. Creates a smooth handoff from product planning to engineering execution.
by Jason Stelo
This workflow uses Tally.so to collect client input that you input yourself during the meeting or after from a simple form and send that data to n8n via an API webhook. Once received, n8n processes the information and uses OpenAI to expand on the provided details transforming the short client notes into a complete, well-structured proposal. After generating the proposal, the workflow automatically: Drafts a professional follow-up email using the generated proposal details. Prepares the email inside Gmail, ready for your review and final send. This creates a fast, automated process turning raw meeting notes into a polished, client-ready deliverable within minutes.
by Manu
Complete Calendly automation that handles confirmations, cancellations and reschedules in a single workflow. WHAT IT DOES: Logs all meetings to Google Sheets automatically Creates events in organizer's Google Calendar Sends professional HTML emails to guests Notifies your team on Slack (#meetings) Handles errors with Slack alerts (#errors) INCLUDED FLOWS: New booking: Sheets + Calendar + Slack + Confirmation email Cancellation: Sheets (updates status) + Slack + Cancellation email Reschedule: Sheets + Slack + Email with new date/time SETUP: Connect Google Sheets (create sheet with columns: Event ID, Date Logged, Name, Email, Meeting Type, Date, Time, Status, Meeting URL, Timezone) Connect Google Calendar Connect Slack (create channels #meetings and #errors) Connect Gmail Configure webhook in Calendly > Integrations > Webhooks CUSTOMIZABLE: Emails include professional HTML design with editable colors and text directly in the code nodes. IDEAL FOR: Consultants, coaches, agencies and sales teams using Calendly.
by DIGITAL BIZ TECH
This workflow converts emailed timesheets into structured invoice rows in Google Sheets and stores them in the correct Google Drive folder structure. It: Listens to Gmail for timesheet attachments Runs OCR and AI parsing Looks up Customer and PO data from a Google Sheet Organizes files in Client β Employee β Year folders Reuses an existing invoice sheet or creates a new one and writes the invoice row Quick Implementation Steps Import the workflow JSON into your n8n instance. Set up credentials for: Gmail Google Drive Google Sheets OpenAI Check the OCR HTTP node: Default URL: https://universal-file-to-text-extractor.vercel.app/extract Configure "Get Customer Info From PO Sheet" with: Spreadsheet ID Correct sheet and column names Confirm Gmail Trigger filter: has:attachment (filename:timesheet OR subject:timesheet) and unread only Ensure your Client Invoices root folder exists in Google Drive. Test once with a sample timesheet email. Activate the workflow. What It Does Reads unread Gmail messages with timesheet attachments. Splits and processes each attachment separately. Sends files to OCR and converts them to text. Uses OpenAI to extract: Employee Name Client Name Week Start and End Dates Total Billable Hours Current Year Looks up Customer and PO data from a Google Sheet: Account Number PO Number Item Name Folder Name Invoice range Due Date offset Builds or finds: Client folder Employee folder Year folder Either: Appends to an existing sheet for that employee and period, or Creates a new sheet, sets timezone, moves it into the right folder, and adds the invoice row Who Is It For Agencies and consultancies billing from emailed timesheets Finance or ops teams managing many clients and employees in Google Workspace Service providers that keep one sheet per employee per period Anyone who wants to stop manually reading timesheets and filling invoice sheets Requirements n8n instance Gmail account with timesheet emails Google Drive and Google Sheets OpenAI API key OCR API endpoint (or the default one) Customer POs Google Sheet with: Email Customer Account Number PO Number Item Folder Name Invoice range Due Date Calculation How It Works 1. Email Intake and Loop Gmail Trigger Polls every minute Filter: unread + has attachment + timesheet in file name or subject Split Binary Attachments Creates one item per attachment Loop: Process Each Attachment Handles each timesheet file in sequence 2. OCR and AI Parsing Extract Text from Attachment Sends binary file to OCR endpoint Returns plain text Extract Timesheet Data (OpenAI) Reads the text and outputs strict JSON with: Employee Name Client Name Week Starting Date Week Ending Date Total Working Hours Set Timesheet JSON Fields Normalizes and stores: Employee Name Total Billable hours Week Start Date and Week End Date Client Name Current Year 3. Customer and PO Lookup Get Customer Info From PO Sheet Looks up sender email Pulls: Customer Account Number PO Number Item Folder Name Invoice range Due Date Calculation 4. Drive Folder Discovery Search: Client Invoices Folder Finds the main invoices root folder Search or create: Client folder using Client Name Employee folder using Folder Name from PO sheet Search: Year Folder Looks for folder matching Current Year If Year Folder does not exist: Create Year Folder or Create Current Year Folder Set: Invoice Range Stores invoice range and Year Folder id 5. File Naming and Sheet Search Set: File Name from Start and End Based Date Range Builds: File Name (Start Date Based) File Name (End Date Based) Handles weekly and 15 days invoice logic Search: File By Start Date Name Search: File By End Date Name Merge: Combine Folder Search Results Merges both search results If: Invoice Range is 15 Days Uses custom 2 week window for file naming Set Invoice Date and Due Date Days Invoice Date from week end Due Date from week end plus offset 6. Reuse vs Create Sheet If: File Already Exists If found Go to Append: Final Row to Existing Sheet If not found Go to Sheets: Create Sheet New Sheet Path Sheets: Create Sheet Creates new spreadsheet with generated name HTTP Request (create sheet) Sets spreadsheet timezone to America/New_York Drive: Move Sheet To Final Folder Moves spreadsheet into the Year Folder Set: Empty Row Structure Prepares JSON structure for invoice row Sheets: Append Row1 Writes the first invoice row Set: Spreadsheet (ID and Name) Stores id and name Append: Final Row to Existing Sheet Ensures row is appended with full mapping Existing Sheet Path Set: Spreadsheet (ID and Name) Uses found spreadsheet Append: Final Row to Existing Sheet Appends new row with: Customer Account Number Invoice Date Due Date PO Number Item and columns Total billable hours as Quantity Description with week period How To Set Up 1. Import and Credentials Import JSON in n8n Set credentials for: Gmail Trigger Google Drive nodes Google Sheets nodes OpenAI node OCR HTTP node if needed 2. Customer POs Sheet In Get Customer Info From PO Sheet: Set Spreadsheet ID Confirm column names Make sure each employee email row has: Customer Account Number PO Number Item Folder Name Invoice range Due Date Calculation 3. Drive and Gmail Confirm Client Invoices root folder exists Confirm Gmail Trigger: Query string Poll schedule 4. Test Send a sample timesheet email Run the workflow once manually Check: Folder structure Created or reused sheet Invoice row content 5. Activate Turn workflow ON once tests are successful. How To Customize Swap the OpenAI model in Extract Timesheet Data. Change prompt to extract extra fields such as project, cost center, or approval status. Replace OCR endpoint with another service if needed. Change folder naming rules in Set and Create folder nodes. Adjust file naming rules for different billing periods. Add validation steps to handle: Missing name Zero hours Invalid dates Extend the PO sheet and invoice sheet with: Hourly rate Currency Tax codes Use Case Examples Weekly consulting invoices from signed timesheets. Contractor billing for staffing agencies. Internal cross charging between departments using timesheet reports. Creating a clean, auditable history of timesheets and related invoice lines. Troubleshooting Guide | Issue | Possible Solution | |-------|-------------------| | No rows are created | Check Gmail Trigger is active and the filter matches the email. Confirm email is unread and has attachments. | | OCR returns empty or error | Check OCR URL, status code, and supported file types. Log the response body. | | Wrong or missing dates or hours | Review OpenAI prompt and a sample output. Ensure JSON keys in Set Timesheet JSON Fields match the AI output. | | Folders not found or created | Confirm the Client Invoices root exists and that Client Name and Folder Name text matches what the workflow expects. | | Files in wrong year folder | Check Current Year extraction and Year Folder search logic. | | Duplicate sheets for same period | Check file naming code and Drive search nodes for exact match on names. | | Due Date incorrect | Confirm Due Date Calculation in PO sheet and date math formats in Set and append nodes. | Need Help or More Workflows? Want to customize this workflow for your business or integrate it with your existing tools? Our team at Digital Biz Tech can tailor it precisely to your use case from automation logic to AI-powered enhancements. We can help you set it up for free β from connecting credentials to deploying it live. Contact: shilpa.raju@digitalbiz.tech Website: https://www.digitalbiz.tech LinkedIn: https://www.linkedin.com/company/digital-biz-tech/ You can also DM us on LinkedIn for any help.
by Kevin Meneses
What this workflow does This workflow automates the discovery, evaluation, and notification of job opportunities based on a candidateβs professional profile. It fetches remote job listings, compares each role against a structured candidate profile stored in Google Sheets, and uses AI to evaluate real alignment in terms of skills, seniority, salary, industry, and role complexity. Only the most relevant opportunities are kept, stored in Google Sheets, and delivered via email as a Top 5 shortlist. Decodo β Web Scraper for n8n How to configure (quick setup) Define the candidate profile in Google Sheets (skills, salary expectations, preferences). Configure credentials (Google Sheets, Gmail, decodo, AI provider). Set the matching threshold (e.g. skill match β₯ 90%). Run the workflow manually or on a schedule. Output Structured job match results in Google Sheets Automated email with the Top 5 best-matched job opportunities
by Jitesh Dugar
π AI-Powered Verified Job Offer Letter Generator Description Creating job offer letters manually is time-consuming, error-prone, and difficult to scale. This AI-powered workflow automates the entire job offer letter process β from validating candidate emails to generating and delivering professional PDF offer letters. This intelligent workflow eliminates repetitive drafting, reduces human errors, and ensures offer letters are sent only to verified email addresses, helping HR teams move faster while maintaining professionalism and accuracy. What This Workflow Does Transforms manual offer letter creation into a seamless, automated HR process: π Capture Candidate & Job Details β Receives candidate name, email, job role, salary, joining date, and company details via webhook or form. π§ Email Verification β Validates the candidateβs email address before sending any communication to prevent delivery errors. π§ AI-Powered Offer Letter Generation β Uses AI to generate a clear, professional, and structured job offer letter. π HTML Offer Letter Formatting β Converts the AI-generated content into a clean and readable HTML layout. π PDF Generation β Automatically converts the offer letter into a professional PDF document. π§ Offer Letter Delivery β Sends the PDF offer letter directly to the verified candidate email. ποΈ Document Storage β Saves a copy of the offer letter for internal records and future reference. π Confirmation Response β Returns a success response confirming completion. Key Features π€ AI Offer Letter Writing β Generates professional, ready-to-send offer letters automatically. π§ Email Verification Built-In β Ensures offer letters are only sent to valid email addresses. π PDF Generation β Creates clean, official-looking offer letters. βοΈ End-to-End Automation β No manual drafting, formatting, or sending required. π Centralized Record Keeping β Keeps copies of all generated offer letters. π Flexible Triggering β Can be triggered from HR systems, forms, or internal tools. Perfect For π’ HR & Recruitment Teams β Automate offer letter creation and delivery. π Startups & Growing Companies β Send professional offer letters without extra admin work. π« Staffing & Hiring Agencies β Generate offer letters quickly for multiple candidates. π» Remote & Distributed Teams β Ensure consistent communication across locations. π§ Operations Teams β Maintain accurate records and reduce manual errors. What Youβll Need Required Integrations π Webhook Trigger β Receives candidate and job details. π€ OpenAI β Generates offer letter content. π§ VerifyEmail β Validates candidate email addresses. π HTMLCSS to PDF β Converts HTML into PDF offer letters. π§ Gmail β Sends the offer letter email. βοΈ Google Drive (optional) β Stores generated offer letters. Optional Enhancements π¨ Brand Customization β Add company logo, colors, and formatting to offer letters. π§Ύ HR System Integration β Connect with ATS or HR tools for automatic triggering. π Multilingual Offer Letters β Generate offer letters in different languages. π Approval Step β Add internal approval before sending offer letters. π Audit Logging β Store offer letter data in Google Sheets or databases. π Additional Attachments β Include policies or onboarding documents with the offer letter. Quick Start 1οΈβ£ Import the workflow template into your n8n workspace 2οΈβ£ Connect credentials for OpenAI, VerifyEmail, Gmail, and HTMLCSS to PDF 3οΈβ£ Send test candidate data to the webhook 4οΈβ£ Review the generated PDF offer letter 5οΈβ£ Activate the workflow and start sending offer letters automatically Customization Options 1οΈβ£ Offer Letter Tone β Adjust AI prompt for formal or friendly tone. 2οΈβ£ Company Branding β Customize HTML layout and styling. 3οΈβ£ Email Content β Modify subject line and email message. 4οΈβ£ PDF Layout β Adjust spacing, fonts, and structure. 5οΈβ£ Storage Location β Change where offer letters are saved. 6οΈβ£ Validation Rules β Extend email or input checks. Expected Results β‘ Faster Hiring Process β Generate offer letters in minutes. π€ Consistent Quality β Every offer letter follows a professional format. π§ Error-Free Delivery β Verified emails reduce failed communication. ποΈ Organized Records β All offer letters stored automatically. π’ Professional Candidate Experience β Clean, official documents every time. Workflow Structure Visualization π Candidate & Job Details β π§ Email Verification β π§ AI Offer Letter Generation β π HTML Formatting β π PDF Conversion β π§ Email Delivery β π Confirmation Response π Ready to Automate Job Offer Letters? Import this template today and let AI handle offer letter creation, verification, and delivery β so your team can focus on hiring the right talent faster. β¨