Case Study


How a Client Scaled Lead Generation Packages 100× with Zedblock's AI Automation

Zedblock implemented a fully autonomous AI workflow that transformed a 2-3 day manual process into a near-instant, self-optimizing system. This enabled the client to serve 100× more projects.

Executive Summary

Manual Process Eliminated

Client spent 2-3 days manually assembling lead-generation packages.

AI-Driven Automation

Zedblock deployed 20+ AI agents and 10+ integrations for full automation.

Massive Scalability

Client now handles 100× more requests, saving hours and money.

100× Improvement

Client Background

Diverse team of professionals in modern office setting

Industry & Size

Boutique lead-generation and marketing agency serving SMBs ($1M–$20M revenue) in US, UK, and EU markets.

Professional analyzing business charts and documents

Services Offered

Highly personalized, targeted lead-generation strategies. Includes messaging, scheduling, objection-handling, and ad campaign setup.

Professional analyzing business charts and documents

Existing Tech Stack

Utilizes a CRM database, custom agency dashboard, Microsoft 365, and Adobe Creative Suite.

Business Challenge

Customization vs. Throughput

Each project took 2-3 days of manual work. This included message copies, ad briefs, and lead filtering.

High Costs & Bottleneck

3-5 specialists worked full-time, leading to high labor costs. Limited to 10-15 projects monthly.

Inconsistent Quality

Manual processes caused errors and slow feedback incorporation. This delayed delivery and reduced satisfaction.

Objectives & Success Criteria

1

Primary Goal

Reduce package creation time from 2-3 days to under 30 minutes, with zero human intervention.

2

Automate Strategy

Generate 3-4 strategy variants per project automatically.

3

Produce Creative Assets

Generate 4 static ad images and 2 AI talking-head videos per package.

4

Continuous Improvement

Implement a feedback loop to improve output quality with each iteration.

Zedblock Solution Overview

AI Workflow Design

Decomposed manual processes into AI sub-workflows. Orchestrated 20+ AI agents for specific tasks.

Custom Integrations

Built connectors to client's database and dashboard APIs. Automated project brief reception and deliverable sending.

Creative Asset Generation

Leveraged LLMs for message copies, image generation for ads, and neural avatar for videos.

Continuous Improvement

QA agent reviews outputs. Client feedback triggers an "Improvement Agent"

✔ Phase 1: Discovery & Architecture
- Mapped manual tasks, audited systems
- Designed solution blueprint using GPT, Pinecone, Stable Diffusion
✔ Phase 2: Development & Integration
- Fine-tuned AI models, built API integrations
- Developed asset agents, orchestrated with Dagster
✔ Phase 3: Testing, QA & Pilot Launch
- Piloted with projects, refined outputs
- Benchmarked performance, achieved rapid turnaround
✔ Phase 4: Full Rollout & Monitoring
- Deployed to production, onboarded client
- Set up monitoring, ensured ongoing support

Implementation Details

1

Phase 1: Discovery & Architecture

Mapped manual tasks, audited systems, and designed solution blueprint. Used GPT-4, Pinecone, and Stable Diffusion.

2

Phase 2: Development & Integration

Fine-tuned AI models, built API integrations, and developed creative asset agents. Orchestrated workflow with Dagster.

3

Phase 3: Testing, QA & Pilot Launch

Piloted with 5 projects, refined outputs, and benchmarked performance. Achieved 28-minute turnaround.

4

Phase 4: Full Rollout & Monitoring

Deployed to production, onboarded client, and set up monitoring. Ensured ongoing support and alerts.

Results & Metrics

28
Minutes

New package creation time.

100X
Scalability

Increase in packages per month.

20K
Hours Saved

Human hours saved monthly.

10X
Monthly Savings

Cost reduction at scale.

Growth Analytics

Quarterly performance metrics

15K
Q1
32K
Q2
58K
Q3
89K
Q4
124K
Q5
167K
Q6
203K
Q7
245K
Q8
📈
💰
4
3
2
1
🎯
🚀

Challenges & Lessons Learned

1

Complex Dependencies

Introduced Validation Agent and JSON schema for intermediate outputs.

2

Model Drift

Added Fact-Check Agent to cross-reference strategy details.

3

Self Improvement AI

Developed a self-learning machine that evolves with feedback.

4

Zero Intervention

Built a Self-Healing Agent for automatic retries and rerouting tasks.

Client Testimonial

"Zedblock's AI Solution completely revolutionized our operations. What used to take our team 2–3 days now happens in under 30 minutes—with no human touch. We've onboarded 100× more projects this month, and our margins have never looked better."
— Client CMO, Marketing Agency

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