AI Audit & Readiness Workshop

Assess your organization’s AI readiness, identify high-impact opportunities, reduce risk, and build a practical roadmap for responsible AI adoption.

Why Participate in the AI Audit & Readiness Workshop?

Gain a clear understanding of your organization's AI readiness, identify the highest-value opportunities, and establish a practical roadmap for responsible adoption.

Understand where you stand today.

Evaluate leadership alignment, business processes, governance, technology, data readiness, and employee preparedness to establish a realistic starting point.

Focus on initiatives that create business value.

Discover where AI can improve productivity, automate processes, enhance decision-making, and support organizational goals.

Address governance, security, and compliance concerns.

Identify potential challenges related to data protection, responsible AI use, access controls, organizational readiness, and change management.

Create a shared vision for AI adoption.

Facilitate conversations that bring executives, business leaders, operations teams, and IT stakeholders together around common priorities and objectives.

Why Organizations Choose an AI Audit First

Before investing in tools, licenses, or implementation projects, understand where AI can create value and how to adopt it responsibly.

Let's get started with a discovery call.

Agenda

A structured virtual working session designed to assess readiness, identify opportunities, reduce risk, and define practical next steps for responsible AI adoption.

1. Current State Asessment

Clarify your organization’s business priorities, current AI usage, operational challenges, and desired outcomes.

Focus Areas

  • Current AI awareness and usage
  • Business priorities and pain points
  • Operational inefficiencies
  • Existing tools, processes, and workflows
  • Desired outcomes from AI adoption

Purpose
Establish a shared understanding of where the organization is today and what leadership wants AI to help improve.

1-CurrentStateAssessment

2. AI Readiness Assessment

Evaluate readiness across the core areas required for successful AI adoption.

Focus Areas

  • Leadership alignment
  • People and skills
  • Business processes
  • Data readiness
  • Governance maturity
  • Technology environment
  • Adoption readiness

Purpose
Identify strengths, gaps, and readiness risks before investing in broader AI initiatives.

2. AI ReadinessAssessment

3. AI Opportunity Discovery

Identify and prioritize practical AI use cases that can create measurable business value.

 

Focus Areas

  • Productivity improvements
  • Process automation opportunities
  • Decision-support use cases
  • Knowledge management
  • Customer or employee experience
  • Department-specific opportunities

Purpose
Move from broad AI interest to a prioritized list of practical opportunities based on business value, feasibility, and effort.

3-OpptyDiscovery

4. Prompting & AI Enablement

Introduce practical prompting techniques that improve AI interactions and prepare teams to use AI more effectively.

 

Focus Areas

  • Understanding how AI responds to prompts
  • Common prompting mistakes
  • Introduction to the CRAFT Framework
  • Prompt refinement techniques
  • AI-assisted business workflows
  • Responsible AI usage practices

Purpose
Give your team powerful techniques and best practices as well as leverage built in workflows and automations.

4-Prompting-Enablement

5. 90-Day AI Adoption Roadmap

Identify and prioritize practical AI use cases that can create measurable business value.

 

Focus Areas

  • Productivity improvements
  • Process automation opportunities
  • Decision-support use cases
  • Knowledge management
  • Customer or employee experience
  • Department-specific opportunities

Purpose
Create a task-based roadmap that identifies specific opportunities and use cases that can be accomplished in the 90 day period.

5-90-DayRoadmap

Who Should Attend?

The AI Audit & Readiness Workshop is designed for organizations that want to move beyond AI experimentation and develop a practical, business-focused approach to adoption, governance, and value realization.

Executives & Leadership Teams

For CEOs, COOs, CIOs, CTOs, and department leaders responsible for setting strategic direction, managing investments, and evaluating how AI can support business objectives.

Key Outcomes

  • Understand organizational readiness
  • Identify strategic AI opportunities
  • Align investments to business goals
  • Establish executive priorities

Operations & Business Leaders

For leaders responsible for improving efficiency, productivity, service delivery, and operational performance.

Key Outcomes

  • Identify automation opportunities
  • Improve decision-making processes
  • Reduce manual effort
  • Prioritize high-value use cases

IT & Data Leaders

For teams responsible for technology platforms, security, information governance, compliance, and data management.

Key Outcomes

  • Evaluate AI readiness and security implications
  • Review governance requirements
  • Assess data accessibility and quality
  • Develop implementation guardrails

PMO & Transformation Leaders

For project, portfolio, and transformation leaders responsible for driving organizational change and modernization initiatives.

Key Outcomes

  • Align AI initiatives to transformation goals
  • Create measurable adoption plans
  • Establish governance frameworks
  • Prioritize initiatives across departments

Innovation & Strategy Teams

For organizations exploring AI opportunities and seeking a structured method to evaluate business impact before making significant investments.

Key Outcomes

  • Evaluate emerging AI opportunities
  • Develop an executive roadmap
  • Build internal AI capability
  • Create a competitive advantage

Recommended Participants

For the most valuable workshop experience, include representatives from:

✅ Executive Leadership
✅ Operations
✅ IT & Security
✅ Data & Analytics
✅ PMO / Transformation Office
✅ Department Stakeholders

Ideal Attendance

6–12 participants representing a cross-functional view of the organization.

Let's get started with a discovery call.