You will get an AI (RAG) assistant to support your digital marketing campaign.

3.0

Let a pro handle the details

Buy Other Databases services from Muhammad, priced and ready to go.
3.0

Let a pro handle the details

Buy Other Databases services from Muhammad, priced and ready to go.

Project details

You will get an AI-powered Retrieval-Augmented Generation (RAG) assistant built to support your digital marketing team with strategic campaign insights.

This system pulls data from your internal documents (briefs, reports, SOPs), external competitor research, and campaign results to answer questions, summarize learnings, and deliver real-time intelligence.

Powered by n8n, OpenAI, and vector databases, this automation enables your team to:

Instantly query past campaign data or client briefs

Summarize key learnings across multiple documents

Get results via direct email

What sets this apart:
This assistant turns static documents into actionable insights, reducing time spent on manual research and enabling faster, data-backed creative and media decisions.

The impact:
This automation has more time saved on campaign prep and research, with better alignment, less duplication of work, and smarter strategy development.
Database Type
PostgreSQL
What's included
Service Tiers Starter
$100
Standard
$400
Advanced
$995
Delivery Time 2 days 4 days 8 days
Number of Revisions
123
Source Code
Optional add-ons You can add these on the next page.
Fast Delivery
+$30 - $100

Frequently asked questions

3.0
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LC

Liza C.
3.00
Dec 18, 2025
Automation Infrastructure Project
Muhammad F.Status: Offline

About Muhammad

Muhammad F.Status: Offline
Cold List to Booked Meeting: AI Outbound Automation for Agencies
3.0  (1 review)
Jakarta, Indonesia - 2:57 pm local time
AI Outbound Systems ⚙️, Self-Improving Email Copy 🤖, n8n Workflow Automation 🔧, Compliance-First Automation 🌐

I'm Rizan, an AI Implementation Consultant based in Tokyo. I build self-running outbound systems for marketing agencies and B2B sales teams that go from cold list to booked meeting without anyone touching a keyboard after setup. I study AI regulation at Waseda University's Graduate School of Law, which shapes how I architect every pipeline.

My core stack is Claude Code, n8n, and MCP server integrations. Every system I build has a custom reasoning layer that scores your leads against your ICP, routes them into the right outreach sequence, and triggers the right email template based on their segment and fit. The scraping, enrichment, scoring, sending, and CRM sync run as one connected pipeline. No disconnected tools. No manual handoffs.

Here's what that looks like in practice. One outreach pipeline I built eliminated 5 hours of daily manual work for a PR marketing agency, with zero touchpoints after delivery. The client gave a bonus and signed a retainer. Another build cut a Bangkok agency's social media publishing time by 90%. Both ran in production, not just demos. And before this I spent years as a Legal and Tax Associate at Ernst & Young, so the outbound systems I build won't get your sending domain flagged or put your data handling under scrutiny.

⚙️ AI Outbound Systems: Full pipeline architecture from lead discovery to personalized send to CRM entry. Built around your ICP, not a tool's default settings.

🤖 Self-Improving Email Copy: Templates aren't static once they ship. Reply and open-rate signals feed into how the copy gets revised over time, so messaging keeps sharpening instead of running unchanged for months.

🔧 n8n Workflow Automation: Multi-step n8n builds designed for production. Error handling, retry logic, and per-lead status writes so interrupted runs resume without data loss.

🌐 Compliance-First Automation: Outbound built with CAN-SPAM, GDPR, and data handling logic from the start, backed by an actual legal background instead of a disclaimer.

Tokyo UTC+9 gives real-time async coverage for Australia and Asia, with solid morning overlap for US clients.

Tell me your target client profile and I'll map out exactly how I'd build your outbound system.

Steps for completing your project

After purchasing the project, send requirements so Muhammad can start the project.

Delivery time starts when Muhammad receives requirements from you.

Muhammad works on your project following the steps below.

Revisions may occur after the delivery date.

Credential setup

I will invite you to an onboarding call where we will connect to the credentials of the nodes that we wanted to use in the automation

Workflow building

I will build the AI RAG Automation and delivers it to you

Review the work, release payment, and leave feedback to Muhammad.