New York City, New York Mar 28, 2026 (Issuewire.com) - Old Country AI has relaunched its enterprise artificial intelligence platform, taking direct aim at one of the most persistent failures in modern enterprise technology: the inability to move AI from experimentation into production.
For years, companies have invested heavily in artificial intelligence. Teams have run pilots, tested models, and explored use cases across departments. Yet most of those efforts never make it into the systems that actually run the business.
That disconnect has quietly become one of the defining problems of the AI era.
Old Country AI is positioning itself squarely at that fault line.
The Problem No One Solved: AI That Never Ships
Across industries, the data tells a consistent story. The majority of enterprise AI initiatives fail to deliver measurable outcomes. Not because the models don’t work, but because they never integrate into operational workflows.
This “pilot-to-production gap” has left organizations stuck between experimentation and execution.
Old Country AI was rebuilt specifically to address that gap, combining AI development, infrastructure, and workflow integration into a single system designed for real-world deployment.
“Artificial intelligence becomes powerful when it is paired with real operational experience,” said Dan Gurman, Founder and CEO of Old Country AI. “Our team has spent years building and deploying enterprise systems in regulated industries. We designed Old Country AI to combine that experience with modern AI capabilities so companies can move from ideas to deployed systems quickly, safely, and efficiently.”
From Experimentation to Execution
At the center of the relaunch is a unified enterprise AI platform paired with hands-on enterprise AI services.
Instead of treating AI as a set of disconnected tools, the system is designed to support the full lifecycle of development and deployment inside one environment:
- Defining and scoping AI initiatives
- Building and testing systems
- Deploying production infrastructure
- Embedding AI into business workflows
- Generating technical documentation automatically
The approach reflects a shift in how AI is being used. The focus is no longer on what models can do in isolation. It is on whether they can operate reliably inside complex organizations.
Built for the Real Constraints of Enterprise Environments
Old Country AI is focused on industries where failure is not an option and where governance, compliance, and accuracy are required from day one.
Through its platform and services, the company is targeting sectors such as financial services, legal systems, enterprise technology, and digital media—areas where AI must function within strict operational and regulatory boundaries.
This is where most AI initiatives break down. Systems may perform well in controlled environments but struggle when introduced into real workflows, data systems, and decision processes.
Old Country AI’s architecture is designed to operate directly inside those constraints, rather than around them.
Leadership Built Around Execution, Not Theory
The company’s leadership team reflects the problem it is solving: experienced operators from enterprise technology, finance, and legal systems.
- Dan Gurman, Founder and CEO, previously led AI Patent & Business Solutions at Adeia
- Mike Olsson, Chief Product Officer, formerly a Managing Director at UBS
- Tara Thomas, Chief Business Officer, a long-time enterprise marketing and growth leader
Their combined experience points to a consistent insight: building AI is not the hard part anymore. Making it work inside real organizations is.
Advisors Emphasize Governance and Real-World Integration
That same perspective carries through to the company’s advisory board, which includes leaders across law, media, and enterprise technology.
“Organizations deploying AI in regulated sectors face particular challenges” said Nigel Howard, advisor to Old Country AI and partner at Covington & Burling. “AI systems must adhere to compliance and governance frameworks that institutions trust. Old Country AI understands this challenge and is approaching it with the appropriate seriousness needed for enterprise deployment.”
“Artificial intelligence is entering a phase where execution matters more than experimentation,” said Randall Rothenberg, advisor to Old Country AI and former CEO of the Interactive Advertising Bureau (IAB). “What stands out about Old Country AI is its focus on making AI operational inside real businesses. The companies that succeed will be the ones that integrate AI deeply into their workflows.”
“I’ve known Dan for years and have always been impressed by his instinctive understanding of the intersection between enterprise technology and real business transformation,” said Stephen Gribben, CEO of Genio. “What he and the team are building at Old Country AI addresses a problem many organizations face today: how to actually bring AI initiatives to completion and make them work inside the systems that run large enterprises. That is not an easy task and requires both technical depth and operational insight.”
The Shift to AI as Infrastructure
The broader shift underway is clear. AI is moving out of the lab and into the core systems that run businesses.
That requires more than models. It requires infrastructure, governance, integration, and execution discipline.
Old Country AI is betting that this is where the market is headed.
“Years ago I had a clear vision for how AI could fundamentally transform enterprise workflows, but the technology simply wasn’t ready,” continued Gurman. “Today, advances in AI, infrastructure, and automation have finally caught up to that vision. We can now deliver the kind of end-to-end transformation that large organizations have been waiting for.”
For organizations still stuck in pilot mode, that shift may define who actually captures value from AI and who does not.
About Old Country AI
Old Country AI is an enterprise artificial intelligence platform that helps organizations design, deploy, and operate AI systems in production environments. By combining AI development, infrastructure, workflow integration, and governance, the company enables real-world enterprise adoption of artificial intelligence.
Media Contact
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