Portfolio

AI-Powered Content Engine for GRMS

Built an AI-driven content system to scale thought leadership for a regenerative medicine organization without compromising accuracy or voice. The system automates topic sourcing and content generation while incorporating human review to ensure quality and credibility. This enabled consistent, high-quality LinkedIn publishing and generated over 200K organic impressions.

Overview

Global Regenerative Medicine Society (GRMS) is an organization focused on advancing research and awareness in regenerative medicine. Led by Dr. Salman Dalwi, a former NHS director and scientist, the goal was to build a consistent thought leadership presence on LinkedIn.

Given the technical nature of the domain and the founder’s limited availability, the requirement was to create a system that could scale content production while maintaining accuracy, credibility, and a strong personal voice.

The Challenge

Highly specialized and sensitive subject matter
Content needed to reflect the founder’s expertise and tone
Manual content creation was not scalable
Fully automated publishing risked inaccuracies

The challenge was to balance scale, accuracy, and authenticity within a single system.

Approach

Topic & Data Sourcing

Built a system to continuously gather relevant news, research, and developments in regenerative medicine and related fields.

AI Content Generation

Developed a pipeline to generate LinkedIn content drafts aligned with the founder’s tone, expertise, and communication style.

Human-in-the-Loop Workflow

Implemented a structured review layer to ensure accuracy and quality, with selective approvals by the founder for key posts.

Multi-Format Content Creation

Enabled generation of both text posts and carousel-style content, allowing for varied and engaging content formats.

Publishing System

Designed a streamlined workflow for scheduling and publishing content consistently on LinkedIn.

What Was Implemented

End-to-end AI content generation system
Automated topic discovery and research aggregation
Tone-aligned content generation pipeline
Human review and approval workflow
Automated carousel content creation
Structured LinkedIn publishing system

Outcome

200K+ organic impressions on LinkedIn
Consistent increase in engagement and visibility
Improved inbound interest and business conversations
A scalable content system aligned with expert-led communication

The result was a controlled AI-driven content system that enabled consistent thought leadership in a complex domain without compromising on accuracy or credibility.

Engagement

Worked closely with the founder to align content strategy, tone, and workflow design with domain requirements and communication goals.

The system was designed to balance automation with oversight, ensuring scalability while maintaining trust and quality.