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Feature Article – Bob Rogers, PhD
Agents: From Demonstrations to Enterprise Solutions
The Compliance Crisis in an AI World
Bob Rogers, PhD, one of i-GENTIC’s founders and a strategic advisor, has built his career at the intersection of artificial intelligence and enterprise adoption. He co-founded BeeKeeperAI, a pioneer in privacy-preserving federated learning, and served as Chief Data Scientist for Analytics at Intel. An inventor on more than 50 U.S. patents, Bob combines technical depth with experience in scaling AI responsibly.
Artificial intelligence has produced a wave of “agents.” Many are demonstrations: they can answer questions or automate narrow tasks, but they do not meet the standards of an enterprise CIO or regulator. The distinction matters for investors. Demonstrations generate attention, but only compliance-ready agents are positioned to be adopted at scale.
Bob Rogers, PhD“Agents and agentic technology are the apps of the GenAI world. They bring solutions, not just tools, to the table.”
Depth over Breadth
Most current offerings are “an inch deep and a mile wide,” providing broad capabilities but little depth in regulated domains. i-GENTIC’s approach is different. GENIE™ agents are designed for high-stakes requirements: HIPAA compliance in healthcare, GDPR rules in recruiting, or anti-money laundering controls in finance.
Bob Rogers, PhD“Only agents that act, not tools that flag, will scale in regulated markets.”
Exposing Blind Spots
Organizations often assume they are compliant because access controls or curated datasets appear sufficient. Yet workflows frequently reveal gaps. Healthcare research may rely on datasets without adequate oversight. Recruiting firms under pressure may bypass GDPR. In both cases, systems look safe until governance agents expose the blind spots.
“Organizations often think they are compliant, but when you look at how workflows actually run, you see the gaps. That is where governance agents make the difference.”
Path to Adoption
For adoption, simplicity is critical. The Developer version allows prospects to engage, test the value, and then expand into customized implementations. The SaaS version, now released, provides a lighter entry point for demos and early deployments. Together, the two models give enterprises a clear path from exploration to integration.
Bob Rogers, PhDWe have seen organizations invite us into multiple meetings, laying out their architectures and asking how we can help. That level of transparency tells me we are solving problems they cannot address today.”