Practitioners · Atlanta · Remote · Worldwide engagements
The Practitioner Bench · Atlanta · Remote · Worldwide

Practitioners.
Not consultants.

The same operators who have been shipping enterprise software for two decades — now compounding it with AI. Every name on this page has been operating AI inside production engineering for years, not months.

Standard for the bench practicing · Production AI, not pilots · HIPAA · HITRUST · SOC 2
01 — The Bench

Who's actually on it.

IBOTSystems is a small team by design. Each practitioner has built and shipped enterprise software across multiple regulated domains — and has been operating AI inside production engineering since before "AI engineering" had a name.

Gopal Koratana

Founder & Chief Practitioner

Two decades inside the systems Fortune 500s actually run on — Manheim's Dealer Management System, GE rail electronics, logistics at UPS and John Deere. Founding CTO of Vendormate, the healthcare GRC platform acquired by GHX in 2014. Co-Founder & CTO of Cyrano Video, where the AI SDLC Practice ships in production every day with measurable, compounding results — the same playbook we bring to clients.

IIT Chennai · Charter Member, TiE Atlanta · Johns Creek, GA

LinkedIn

More practitioners, soon.

AI Practitioner profiles in progress

We will publish the rest of the practitioner bench here in the coming weeks — held to the same standard: senior engineers who use AI to compound productivity inside large enterprise systems, while keeping them scalable, secure, and maintainable as they grow.

Atlanta · Remote · Worldwide engagements

02 — The Standard

What it takes to be on this page.

01

Shipped real systems.

Specific platforms, real company names, regulated environments. Not "20 years of experience" — named systems that ran in production.

02

Operating AI today.

Every practitioner runs PlayerZero, Claude Code, Cowork, and a tailored agent toolchain inside a live engineering org — not in slide decks.

03

Keeps systems compounding.

Speed alone is easy. The bar is shipping AI-accelerated change that leaves the codebase more scalable, more secure, and more maintainable than before.

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