Why Custom GPTs Are the Future of Brand Consistency
Brand playbooks are static. Custom GPTs trained on brand guidelines give production teams instant, contextual answers, improving quality while cutting QC time.
Read →Transforming how creative work gets done at scale.
Deputy General Manager at We Are Amnet | 20+ years in creative production | AI integration advocate
Brand playbooks are static. Custom GPTs trained on brand guidelines give production teams instant, contextual answers, improving quality while cutting QC time. Here's how I built and deployed one across multiple accounts.
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Chennai, India
My story begins at the design table, not the boardroom. I spent years as a graphic designer, understanding creative craft from the inside out. That foundation shapes everything I do as a leader today: I don't just manage creative production, I understand it at a molecular level.
Over two decades, I've progressed from hands-on design through service delivery, account leadership, and imaging operations, building and scaling production teams from the ground up. At We Are Amnet, as Deputy General Manager, I lead a 75+ member global creative production team delivering across print, digital, HTML5, imaging, and presentations for Fortune 500 brands.
What sets my approach apart is the intersection of creative instinct and technological foresight. I'm now deeply focused on integrating AI and automation into creative production workflows, not to replace human creativity, but to amplify it.
— The best creative operations leaders are those who've held the brush before they held the blueprint. —
Brand playbooks are static. Custom GPTs trained on brand guidelines give production teams instant, contextual answers, improving quality while cutting QC time.
Read →Quality control in creative production has always been labor-intensive. By combining automated preflight scripts, version comparison tools, and digital proofing workflows, we've reclaimed over 200 hours monthly.
Read →Rapid team scaling often sacrifices quality. I've scaled creative production teams from scratch twice -- the key isn't hiring fast, it's building frameworks that preserve creative excellence as you grow.
Read →Most creative production playbooks are PowerPoint files that nobody opens. Here's how interactive knowledge hubs solve the findability problem.
Digital Asset Management architecture that serves production workflows, not just storage. A practitioner's perspective on getting DAM right.
Not theory, not hype. What actually happens when you deploy AI tools into a live creative production environment with real deadlines.
Where leadership meets technology in creative production.
I design workflows that enable creativity rather than constrain it. From QC automation to SLA monitoring systems, every process I build serves one goal: giving creative talent more room to do what they do best.
Scaling a team from 25 to 75+ taught me that growth isn't about adding headcount -- it's about building scalable systems, leadership pipelines, and operational frameworks that grow with you.
As a Lean Six Sigma Black Belt, I ground decisions in data. But I also trust the creative instinct that comes from 20+ years of hands-on production experience. The best decisions live at that intersection.
AI and automation aren't threats to creative work -- they're multipliers. I deploy technology to eliminate repetitive tasks, freeing human talent for the work that truly requires imagination and judgment.
Created custom GPT models trained on brand guidelines, enabling production, QC, and project management teams to get instant, accurate brand and process guidance. Also transformed existing client playbook PPTs into interactive HTML-based knowledge hubs with easy search, content editing, section updates, and user session tracking. Adopted as a scalable template across client accounts.
Pioneered HTML asset automation using Vercel V0 and Claude AI, transforming how the team produces digital assets with dramatic efficiency improvements.
Built custom Google App Script solutions to monitor communication SLAs in real-time. Started with critical accounts, now deployed across all operations -- a self-built operational intelligence layer.
Delivered a comprehensive analysis on integrating AI capabilities into project management workflows for enterprise clients, connecting performance insights to scalable production strategies.
Designed the complete Digital Asset Management architecture for the creative production division -- a foundational blueprint for how creative assets are stored, managed, and deployed at scale.
Deployed automated preflight checks via InDesign scripting, version comparison automation through GlobalVision, and digital proofing workflows -- reducing manual QC time while improving accuracy.
A selection of paintings and digital works






























"The best creative operations leaders are those who've held the brush before they held the blueprint."