About · Since 2014
Twelve years of helping businesses grow, and a team assembled for one job: helping yours take its next step forward, smartly, starting from your real numbers.
The team
Every role here exists for a reason. Strategy and analytics size your problem in real numbers before anything is built. An architect with years of bringing AI into major industries designs the fix. Engineers who genuinely love this work build it. And a dedicated implementation lead makes sure your people can run it.
Managing Director
Gaurav founded Creative Ground in 2014. Before building CGAi, he spent years in healthcare technology working with major health systems across the country, where he owned the customer success process and designed the workflows that put AI to work on real problems. He's on your first call, and at every major milestone after it.
Director of AI Business Implementation
Dr. Jean makes sure what we build actually gets used. Implementation and training are run directly with your team, so the system fits how they already work and earns their trust early.
AI Solutions Architect/Strategist
Tyler brings years of experience bringing AI solutions into major industries. The job here: pick the right design for your problem, and the narrowest one that moves the number.
Director of AI Business Strategy & Analytics
Giancarlo designs an AI strategy around your revenue goals, starting with a revenue-leak audit. He pinpoints sales and retention leaks, ranks AI solutions by impact and effort, and partners with implementation so launches stay on strategy. Afterward, he measures results against the audit's baseline to quantify the overall improvement.
Senior AI Engineer
Rohit is specialized in AI automation, Retrieval-augmented generation and scalable backend architecture. He built Creative Ground AI’s Revenue Leak Audit and brings experience delivering production AI systems that connect business data, cloud services and everyday tools into reliable, automated workflows. His approach pairs technical rigor with real-world discipline, so every system he builds runs reliably under real business conditions, not just in testing.
AI Engineer
Shubham builds the AI agents, chatbots, and automations that plug into the systems a business already runs on: the CRM, the scheduler, the phone and email tools. That covers everything from a lead follow-up bot to a full workflow integration, scoped from the client's problem and built end to end. He builds automations that keep working well into the future.
Why now
AI model costs have dropped sharply while quality has risen, making an always-on system viable at a monthly price a small business can approve without a board meeting.
Most owners know AI is relevant to their business but have no technical staff and no interest in a self-serve platform they'll never finish configuring. They want a person to call.
People expect an instant response now, and most small operations can't staff for that with humans alone, creating a specific, measurable gap that didn't exist a few years ago.
The future belongs to the businesses that make the best use of the people they have.
How we work
Most AI projects fail the same way: nobody defined success, so nobody can say whether it happened. Every engagement here starts by fixing that.
One metric, pulled from a system you already own: your CRM, your phone log, your scheduler. Not one we introduce.
One pain point, live in weeks. Not a platform or a transformation programme. The smallest system that moves the number.
Your team learns the system hands-on, with us beside them, until it's part of the normal day rather than a side project. A tool people use properly moves the number on its own, and the baseline from Step 01 is there to show it.
Five minutes, no cost, and a real number to start the conversation with. Not ours, yours.
