Your organization is already using AI.
Is anyone managing it?

Most teams are experimenting with AI tools on their own with no visibility, no governance, and no plan. The AI Strategy & Governance Launchpad gives you the foundation to manage AI intentionally, in 90 days.

The Problem

AI is spreading faster than anyone can govern it.

Most organizations aren't deciding whether to adopt AI, it's already happening. Individual teams are using tools leadership doesn't know about, making decisions without guardrails, and creating risks no one has mapped. That's not a technology problem. It's a leadership problem.

🔍

No visibility

Leadership doesn't know which AI tools are being used, by whom, or for what. Shadow AI is already in your organization whether you've sanctioned it or not.

⚖️

No governance

There's no clear process for approving AI use, managing risk, or making decisions about what's acceptable. Every team is making its own rules or no rules at all.

🗺️

No roadmap

AI initiatives are reactive and disconnected. There's no shared vision, no prioritization framework, and no plan for how AI will actually support business goals.

What You'll Achieve

A complete  AI foundation. In 90 days.

By the end of engagement, your organization will have clarity, structure, and a working system you can actually use. Not a deck. Not a framework in a binder. A real foundation.

Full AI visibility

A complete inventory of every AI system, tool, and use case across your organization so nothing is flying under the radar.

Working governance structures

Define roles, decision workflows, and oversight processes so AI decisions don't fall the cracks.

Risk & Responsibility model

A practical framework for classifying and mitigating AI risk, aligned with NIST AI RMF and ISO 42001.

A clear AI strategy

Defined goals, priorities, and a strategic direction for AI that aligns with how your business actually operates.

A 12-month roadmap

Prioritized AI initiatives with clear next steps so your team knows exactly what to do after the engagement ends.

Align leadership

Stakeholders across your organization will share a clear understanding of your AI direction, ownership, and priorities.

How it works.

Three months. Three phases. One foundation


Each phase builds on the last. By the end, your organization has everything it needs to manage AI with confidence.


Month 1

Discovery & AI Visibility

We start by mapping everything. Through stakeholder interviews and a structured assessment, we identify every AI tool, system, and use case across your organization, including the ones leadership doesn't know about yet.

  • Stakeholder interviews across departments
  • AI system inventory and documentation
  • AI Readiness Score and gap analysis
  • Stakeholder alignment session

End of month: Full AI inventory + Readiness Score


Month 2

Strategy & Opportunity Definition 

With full visibility in hand, we define your AI direction. We align AI initiatives with your business goals, establish your AI vision, and prioritize high-impact use cases based on value and feasibility.

  • AI vision and strategic objectives
  • Use case prioritization framework
  • Opportunity-to-impact mapping
  • Early governance principles established

End of month: Custom AI Strategy document


Month 3

Governance & Roadmap

We establish how AI decisions are made, managed, and scaled. This includes defining governance structures, decision workflows, roles for oversight, and a practical approach to risk, plus your full 12-month roadmap.

  • Governance framework and decision workflows
  • Risk classification and mitigation model
  • Roles and oversight structure
  • 12-month AI roadmap with clear next steps

End of month: Governance framework + 12-month roadmap


What makes this different

Most AI consultants skip hard parts.

Strategy without visibility is guesswork. Governance without strategy is paperwork. We do both in the right order.

1.  We start with visibility, not assumptions

Most firms jump straight to strategy. We spend the first month mapping what's actually happening across your organization because you can't govern what you can't see.

3. Built on globally recognized frameworks

Our approach aligns with the NIST AI Risk Management Framework, ISO/IEC 42001, and Responsible AI principles so what you build can stand up to scrutiny.

2. Strategy and governance together

You don't just get a vision. You get the decision structures and oversight processes that make the vision executable. One without the other doesn't hold up.

4. You leave with a working system, not a deck

Everything we build is designed to be used immediately after the engagement, not shelved until the next budget cycle. Real deliverables. Real next steps.

Who this is

Built for organizations where AI is already happening.

You don't need to be a tech company to need AI governance. You just need to be honest about where things stand. 

Small & Mid-Size Businesses

Multiple teams are using AI tools with no central oversight. You need visibility, a clear strategy, and governance structures before things get harder to manage.

Professional Services Firms

You advise clients, manage sensitive data, and operate under scrutiny. AI without governance creates real risk. It's time to get structured.

Higher Education & K–12

Faculty and staff are adopting AI faster than policy can keep up. You need a responsible AI framework that balances innovation with institutional accountability.

Leadership Teams Seeking Clarity

You're not against AI — you just don't have a clear picture of where it's being used, what it's doing, or who's responsible when something goes wrong.

What you walk away with

Six tangible deliverables at the end of 90 days. 

Everything is documented, presented, and ready to use. You'll have something to hand your leadership team, your board, and your people.

AI System Inventory & Assessment

A complete record of every AI tool and use case across your organization, with an assessment of capabilities, risks, and gaps.

Custom AI Strategy

Your AI vision, strategic objectives, and prioritized use cases aligned with your actual business goals, not a generic template.

AI Governance Framework

Defined roles, decision workflows, and oversight processes so your organization knows how AI decisions get made and who's accountable.

Risk & Responsibility Model

A practical framework for classifying AI risk and defining mitigation strategies, aligned with NIST AI RMF and ISO 42001.

12-Month AI Roadmap

Prioritized AI initiatives with clear timelines and next steps, so your team knows exactly what to do when the engagement ends.

Executive Presentation

A ready-to-present summary of findings, strategy, and recommendations built for your board, leadership team, or key stakeholders.

Ready to Start

Build your AI foundation before it becomes a liability.

If your organization is already using AI without a clear strategy or governance structure, the risk grows every day you wait. Let's spend 30 minutes talking through where you are and whether this engagement is the right fit.