AI Business Outreach System
Discovers, researches, and drafts personalized outreach — with a human always approving before anything sends.
Build study · In development
Research first. Personalize next. Keep a human in control.
This project addresses the research work behind relevant business outreach. Its planned pipeline discovers a business, researches its operations, identifies a specific automation opportunity, and drafts a message for a person to review.
Make the research reusable
A structured prospect record is intended to carry the business context from research into drafting, reducing the need to repeat the same discovery work.
Tie the message to a real need
The draft is designed around a specific business opportunity rather than a generic AI sales pitch. Research accuracy remains a key review step.
Approve before sending
Human approval is an explicit stage between drafting and outreach. The intended workflow does not send a message simply because an agent generated it.
What this demonstrates
This system is in development. The workflow below describes the design; no campaign results, response rates, or client outcomes are claimed.
Measuring effectiveness
After the build is operational, evaluate research accuracy, time per approved draft, edits required, and replies from an authorized pilot. No results are available yet.
Problem
Personalized outreach that's actually researched (not templated) takes real time per prospect, which puts a hard ceiling on how many businesses a small team can reasonably reach out to.
Solution
An agent pipeline that discovers relevant businesses, researches each one, identifies a specific AI/automation opportunity for it, and drafts a personalized email — then stops and waits for a human to approve before anything goes out.
Architecture
Discovery and research stages run as agent tasks against public sources; each finding is written to a structured record. A drafting stage turns that record into a personalized email tied to a specific opportunity. Nothing reaches the send stage without an explicit human approval step.
Workflow
Technology
Screenshots
Screenshots in progress
This system is still being built — screenshots will be added as it takes shape.
Demo
Demo in progress
A walkthrough of this project isn't recorded yet — check back soon.
Lessons
- The approval step isn't a limitation bolted on afterward — it's the part that makes personalized-at-scale outreach trustworthy instead of spammy.
- Research quality is the actual bottleneck; a well-researched opportunity makes the draft nearly write itself.
Potential Business Applications
- SMB prospecting for a services business
- Partnership or sponsorship outreach
- Any outbound motion where personalization is the difference between reply and ignore