Automate email discovery from your lead list and keep Google Sheets in sync with real-time alerts.
The AI Agent automates the end-to-end process of discovering company emails by querying the Anymail Finder API for each lead and recording results in Google Sheets. It classifies results as valid, risky, or not found for quick QA and quality control. It sends real-time Telegram alerts with summaries and keeps the spreadsheet up to date for fast outreach.
Executes a repeatable workflow to locate and log emails for target companies.
Fetches leads from Google Sheets where PROCESSING is empty.
Queries the Anymail Finder API using Company Name and Website to locate emails.
Classifies results as valid, risky, or not found for QA.
Updates the original Google Sheet: marks PROCESSING with an “x” and writes the EMAIL when found.
Leaves the EMAIL column empty when no email is found but marks as processed.
Sends a Telegram alert with a summary of results after each run.
The AI Agent streamlines the entire email discovery flow from data intake to action. It tackles concrete workflow problems and delivers tangible outcomes.
A simple 3-step system you can run anytime.
The AI agent reads the input Google Sheet and selects leads where PROCESSING is empty.
For each lead, the AI agent calls the Anymail Finder API with the company name and website, then routes results based on status.
The AI agent writes the status and email (if found) back to the sheet and sends a Telegram update summarizing outcomes.
A realistic run showing end-to-end email discovery.
Scenario: A sales ops person loads 100 company rows into the Sheet with COMPANY NAME and WEBSITE. They run the AI Agent via a manual trigger. Within ~15 minutes, 60 rows have found emails (40 valid, 15 risky, 5 not found) and the sheet shows updated EMAIL values where found and PROCESSING marked with an x for all processed rows. A Telegram alert summarizes the run with counts and any notable caveats for follow-up.
Roles that rely on fast, accurate contact data.
Requires clean, up-to-date contact data to power outbound campaigns.
Gains faster access to verified emails for outreach sequences.
Needs scalable enrichment of target lists with minimal manual effort.
Wants consistent data pipelines between spreadsheets and outreach tools.
Evaluates data quality and discovery success across campaigns.
Monitors processing logs and ensures traceability of data handling.
Direct connections to input, lookup, and notification channels.
Reads input leads and writes back results to the same sheet.
Finds emails by company name and website and returns status.
Sends alert messages with run summaries to a chat or channel.
Concrete scenarios to apply the AI agent for maximum impact.
Practical answers to common setup and usage questions.
The AI agent can be triggered manually or integrated with scheduling tools to run at set times. You’ll configure the trigger in your automation platform. Scheduling provides predictable data updates without manual intervention, but you’ll still have visibility via Telegram alerts. Ensure the Google Sheet permissions remain stable for uninterrupted access. You can iteratively adjust trigger frequency based on data volume and outreach cadence.
The AI agent automates data collection and processing based on the data you provide. Compliance depends on how you source and use contact data. You should ensure you have proper consent where required and follow your organization’s data handling policies. The workflow itself logs statuses and maintains an audit trail in the sheet for traceability.
If no email is found, the agent marks the lead as processed in the sheet and leaves the EMAIL column empty. This prevents repeated lookups on the same lead. The run summary in Telegram will note not found results to guide follow-up decisions. You can configure alerts to trigger actions for not found cases (e.g., alternative contact methods).
Anymail Finder provides probabilistic results with status indicators like valid or risky. The AI agent stores both the email (when found) and its status to support downstream decision-making. You should perform periodic validation of risky emails and apply your own quality thresholds. For high-volume use, consider starting with a free trial to calibrate expectations before scaling.
You’ll need a Google account with access to the Sheets template, an Anymail Finder API key, and configuration in your automation tool to authorize Google Sheets and HTTP requests. The agent uses a dedicated API key credential and OAuth2 for Sheets access. Keep credentials in a secure vault and rotate keys as part of your security policy. Ensure you have appropriate permissions for all data in the sheet.
Yes. The workflow expects specific columns (e.g., COMPANY NAME, WEBSITE, EMAIL, PROCESSING) but you can map these fields to your own sheet layout. You’ll update the sheet nodes in your automation tool to reference the correct Document ID and column names. Any changes should be tested with a small data sample before full deployment. Consider keeping a metadata tab to track changes to column mappings.
The AI agent can be pointed at a single sheet or multiple sheets if your automation tool supports multi-sheet workflows. You would typically duplicate the template for each domain or target list and configure separate triggers. Centralized logging and alerts simplify monitoring across several sheets. Ensure each sheet has proper permissions and is kept separate to avoid cross-data leakage.
Automate email discovery from your lead list and keep Google Sheets in sync with real-time alerts.
