NEUBoard

AI Oversight, Governance, and Board Readiness

AI is already making decisions inside your organization. The question is whether your board's oversight is ready for scrutiny.

We help boards establish defensible AI governance — before they need to defend it.

66% of directors report limited to no AI knowledge, yet AI is embedded across their organizations. — NACD / McKinsey

Why NEUBoard Exists

AI has become a board-level accountability issue.

Directors are now expected to oversee AI risk, usage, and impact, even when systems are delegated to management. Most AI failures escalate not because the technology breaks, but because governance was unclear.

Why This Quarter Matters

The EU AI Act is in enforcement. The SEC expects material AI risk disclosure. U.S. states are advancing AI-specific legislation. Courts are already applying negligence, fiduciary duty, and discrimination law to AI outcomes.

You do not need new laws to face new liability. The governance expectations are here. The question is whether your board can demonstrate it was paying attention.

What NEUBoard Does

  • Governance clarity: Boards leave with a structured understanding of where AI creates risk, who owns it, and what controls are in place.
  • The right questions: Directors know exactly what to ask management about AI — and how to evaluate the answers.
  • Defensible oversight: Boards can demonstrate structured AI governance to regulators, investors, and courts.

A Framework for Board-Level AI Oversight

The NEUBoard Fiduciary AI Scorecard maps AI governance across five dimensions that matter to boards:

  • AI Inventory & Materiality Where is AI deployed, and which applications create material risk?
  • Risk Ownership & Controls Who owns the risks, and do controls match the impact?
  • Vendor & Third-Party Governance What are you buying, from whom, and what risks does that create?
  • Monitoring, Escalation & Incident Response How do you detect problems before they create external harm?
  • Board Reporting & Documentation Can you demonstrate governance to external scrutiny?

For each dimension, we help boards answer: What is management doing? How do we know it is working? What would indicate a failure?

Who It's For

  • Boards of private and PE-backed companies
  • Family offices overseeing operating businesses
  • Board committees responsible for risk, audit, or strategy

How Engagements Typically Work

Led by Ritesh Vajariya

Ritesh Vajariya

Architect of BloombergGPT  |  CEO, AI Guru

Ritesh has built and deployed some of the most sophisticated enterprise AI systems in production. He drove $700M+ in annual AI/ML revenue at AWS, advised Fortune 500 leadership teams on AI deployment and risk, and architected core systems for BloombergGPT.

His work spans large-scale AI systems, enterprise governance, and real-world AI oversight.

NEUBoard brings that operational depth to the boardroom — helping directors govern AI with the same rigor they apply to financial controls, cybersecurity, and regulatory compliance.

Perspectives

AI Governance Is a Fiduciary Issue — Not a Technology Issue

A white paper on why board-level AI oversight is now a matter of fiduciary duty, and what directors need to know to govern AI with confidence.

Download White Paper

Start the Conversation

Board-level AI oversight starts with the right questions. Let us help you ask them.

AI Guru is Ritesh's broader executive and enterprise AI platform focused on building and deploying AI systems. NEUBoard is a dedicated initiative focused exclusively on board-level oversight and governance.