Lenore Advisors
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Practical AI governance

Make AI governable.

Companies are adopting AI faster than they are building the management systems to control it.

Lenore Advisors helps leaders put clear accountability, practical policies, and lifecycle controls around AI—so the organization can move forward without creating unmanaged risk.

See how we help ↓

The management gap

AI governance has to work in the business—not just on paper.

AI is being built, bought, and used across the enterprise. Yet ownership is often unclear, vendor decisions are fragmented, and controls stop at policy statements.

We translate governance expectations into decisions, roles, evidence, and routines that executives and teams can actually operate.

Services

Build the management system around AI.

01

Establish the foundation

Define how AI will be governed and what the organization expects.

Governance program design

Operating model, decision rights, accountable owners, cross-functional forums, risk tolerance, and an actionable roadmap.

Policies & lifecycle controls

Acceptable use and oversight requirements spanning intake, design, procurement, deployment, monitoring, documentation, and retirement.

Executive & employee training

Role-specific sessions that turn governance responsibilities into practical decisions for leaders, managers, buyers, builders, and users.

02

Assess and prepare

Make informed decisions before AI is approved, purchased, or released.

AI risk & impact assessments

A repeatable method to evaluate business purpose, affected stakeholders, data, potential harms, human oversight, controls, and residual risk.

Third-party AI & vendor risk

Due diligence, procurement criteria, contract-risk inputs, licensing reviews, and ongoing supplier oversight.

Regulatory & standards readiness

Practical alignment with applicable obligations and leading frameworks such as the EU AI Act, NIST AI RMF, OECD principles, and ISO 42001/42005.

03

Govern in operation

Keep control as systems, uses, and risks change after launch.

Deployment governance

Readiness gates, evidence requirements, user guidance, rollout controls, escalation paths, and plans for unintended or downstream uses.

Monitoring, audit & incidents

Oversight plans, performance and control reviews, issue registers, incident playbooks, reporting, and deactivation or remediation decisions.

Practical outputs

Designed to be used after the engagement ends.

  • Governance roadmap
  • AI inventory & intake
  • Accountability model
  • Policy suite
  • Assessment method
  • Vendor controls
  • Monitoring plan
  • Incident playbook

How we work

Senior advice. Practical implementation.

We start with your business, operating model, risk profile, and current AI activity—not a generic framework. Then we build the minimum structure needed to make sound decisions and produce credible evidence.

Lenore Advisors provides management and governance advisory. We work alongside legal, privacy, security, technology, audit, and business teams; we do not provide legal opinions, certification preparation, or specialized technical model testing.

About

Experience managing complex change.

Ron Lenore

Ron Lenore

Ron Lenore has more than 30 years of experience leading large-scale transformations, technology implementations, governance initiatives, and organizational change programs across consulting and industry.

He helps leadership teams turn emerging AI expectations into clear ownership, workable controls, and sustained organizational capability.

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Let’s make AI governable.