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• Why It Exists
• Who It Serves
• What You Get
• Outcomes
• How It Works

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• Why It Exists
• Who It Serves
• What You Get
• Outcomes
• How It Works

En Dash — AI Governance Workshop

Govern AI where it already lives.

A focused working session that turns diffuse AI adoption into a structured governance model — with clear ownership, ranked priorities, and a 90-day execution plan your team can use immediately.

Format Focused working session Outputs 4 working deliverables Horizon 90-day execution path Scroll

AI use is advancing faster than the operating models designed to govern it. The workshop exists to close that gap before the cost of waiting becomes visible.

01

Why it exists

Organizations need visibility into how AI is being used, ownership for how it is governed, and a practical basis for prioritizing what matters most. Right now, most have fragments of each.

01

AI is influencing workflows whether or not governance is ready

Usage is active across reporting, analysis, and day-to-day work. Governance built later compounds the gap.

02

Ownership exists but is distributed and inconsistent

Teams assume someone else owns review, policy, and accountability — until a decision makes the gap visible.

03

Leadership lacks a structured basis for prioritization

Without ranked priorities, governance attention follows whatever concern was raised most recently.

02

Who it serves

1

New or forming governance groups

Organizations building a governance structure for AI for the first time, or refining one that was assembled reactively.

Formation & Structure 2

Lean teams with execution responsibility

Teams that need enough rigor to govern well without adding overhead that exceeds their capacity to sustain it.

Lean Operations 3

Organizations with AI across multiple tools and platforms

Especially relevant where AI is active across enterprise tools, data platforms, and workflow systems — and no single team has the full picture.

Distributed Environments 03

What you get

01 AI Use Inventory Foundational Output

This creates a grounded view of where AI is already influencing workflows, reporting, and decisions — essential before governance attention can be assigned with confidence.

What Becomes Visible

Current usage across core productivity, data, and workflow tools, plus adjacent workflows.

Why It Matters

It prevents governance from being built around guesswork or the loudest recent concern.

What Leaders Gain

A clearer starting point for deciding where review, ownership, and investment should go first.

What It Closes

The gap between broad awareness that AI is present and specific knowledge of where it shapes work.

02 Governance Structure Operating Model Output

This translates governance intent into a usable model for ownership, review, risk, and controls in the areas that matter most.

What Gets Defined

Ownership, review expectations, and governance responsibilities for priority areas.

Why It Matters

Without structure, teams struggle to move from discussion into repeatable decisions.

What Leaders Gain

A clearer basis for accountability and cross-functional coordination.

What It Closes

The gap between wanting governance and knowing how governance should actually work.

03 Prioritized Use Cases Decision Output

This helps the organization identify where governance attention should go first rather than treating every possible AI use as equally urgent.

What Gets Ranked

Use cases and areas of activity that deserve governance attention based on organizational reality.

Why It Matters

A team that cannot prioritize will spend energy everywhere and gain little traction.

What Leaders Gain

A disciplined way to sequence action and justify focus.

What It Closes

The gap between concern about AI and practical decisions about where to start.

04 90-Day Roadmap Execution Output

This converts the workshop outputs into a practical path the organization can use immediately rather than a static artifact that sits in a folder.

What Gets Mapped

Implementation-ready next steps tied to the environment, priorities, and governance structure.

Why It Matters

Without a near-term plan, governance efforts lose momentum and credibility quickly.

What Leaders Gain

A concrete answer to what happens next after the workshop ends.

What It Closes

The gap between alignment in the room and execution after the room clears.

04

Outcomes

Before the workshop After the workshop

Visibility

AI use is happening, but only fragments are visible. Governance attention is shaped by whoever speaks loudest rather than by a complete picture.

AI use inventory establishes where AI is already influencing workflows, reporting, and decisions. Governance effort starts from a grounded view.

Ownership

Teams assume someone else owns review or policy interpretation. Roles and decision rights are not clearly defined.

Roles, ownership, and review processes are defined for priority areas. Governance becomes easier to apply consistently.

Prioritization

Everything feels important, so little gets sequenced well. The next step remains unclear because there are too many unstructured options.

Defined priority use cases create a clearer starting scope. The 90-day roadmap turns prioritization into sequenced action.

Executive Clarity

Conversations stay conceptual or reactive. It is difficult to explain what is happening, what is governed, and what comes next.

Teams can explain where AI is active, how governance is structured, and what the next 90 days will address — without a dense theory deck.

05

How it works

01

Make AI Visible

Create a grounded starting point

Map where AI is already influencing workflows, reporting, and decisions.

Surface patterns that are visible, invisible, or inconsistently understood.

02

Define Governance

Clarify ownership and review

Define ownership, review expectations, and governance responsibilities.

Create a structure that can be used after the session ends.

03

Prioritize Action

Focus where governance matters most

Identify priority use cases and governance needs based on organizational reality.

Create a sharper basis for executive alignment.

04

Build the Plan

Translate outputs into next steps

Turn outputs into a practical 90-day roadmap tied to the environment and priorities.

Provide implementation-ready direction for teams and leadership.

Why It Matters Now

AI adoption continues whether governance is ready or not.

The practical cost of waiting is fragmented adoption, unclear ownership, and slower executive decision-making about where AI should move next.

What This Supports

Better decisions across theory, practice, and execution.

The workshop helps organizations establish enough structure to govern current AI use while creating a clear path for the next 90 days.

AI Governance Workshop

For organizations that need AI governance to become usable and operational.

A focused working session designed to help teams move from early formation to clear structure, aligned priorities, and a practical 90-day path forward.

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