A typical workflow starts with leads coming from Google Sheets, LinkedIn, a form, or a webhook. It enriches each contact (company, role, website), then uses AI to draft a message that matches the prospect’s context. Next, it sends via Gmail or SMTP, schedules follow-ups if there’s no reply, and logs everything to your CRM like HubSpot. You can also add rules for “do not contact,” time zones, and reply detection so it stays respectful and organized.

Usually, no. If you can run a template and connect your Gmail and a spreadsheet, you’ll be fine. Flowpast workflows come pre-built, so you mostly swap in your tools, prompt, and sequence timing.

Most teams save about 2 hours a day once research, personalization, follow-up scheduling, and CRM updates stop being manual. The big win is not just speed, though. You’ll send messages consistently, keep clean records, and avoid gaps when you get busy. Agencies often use automation to handle multiple clients without hiring another coordinator. And when replies come in, your team can focus on conversations instead of admin work.

You’ll need an n8n workspace, an email account (Gmail or SMTP), and a place to store leads like Google Sheets or a CRM. For AI personalization, connect OpenAI (or another model provider) and provide a simple offer summary plus a few examples of “good” emails. You should also set sending limits, domain warmup basics, and a suppression list. Frankly, those guardrails matter as much as the copy.