Executive Diagnostic

3-Day Executive Data & AI Readiness Diagnostic 

Diagnose Your Data Maturity. De-Risk Your AI Strategy. Define the Right Path Forward. 

Before investing in platforms, dashboards, or AI initiatives, leadership must answer one critical question: 

How ready is the organization — operationally, structurally, and culturally — to execute? 

This 3-day engagement is designed to provide a clear, fact-based answer. 

It is not training. It is not theoretical. It is a structured diagnostic conducted alongside leadership to evaluate how data is currently used across the business, where it is falling short, and what must be addressed before scaling analytics or AI. 

What Happens During this workshop 

Over three focused working sessions, we work directly with leadership and key teams to examine how data flows through the organization and how it supports — or fails to support — day-to-day decision-making. 

This includes: 

  • Identifying the most important business decisions and where visibility is currently limited
  • Reviewing how data is collected, stored, and shared across functions
  • Understanding who owns the data and how consistent it is across systems
  • Examining current reporting processes, including where delays, manual work, or inconsistencies occur
  • Mapping the main data sources used today and how they connect (or do not connect)
  • Assessing whether current tools are aligned with actual business needs
  • Evaluating whether the organization has the internal capability and structure to move forward with analytics or AI 

The objective is to move beyond general impressions and establish a clear, shared understanding of the current state. 

 

The Deliverable: Data & AI Maturity Assessment 

At the end of the engagement, leadership receives a structured assessment that makes the current situation explicit and actionable. 

This includes: 

  • A clear maturity rating across key areas such as data quality, reporting, governance, and analytical capability
  • A breakdown of where current processes are creating friction, delay, or risk  
  • Identification of the most immediate opportunities to improve visibility, efficiency, or performance
  • A prioritized sequence of actions — distinguishing between what can be addressed quickly and what requires more structural change
  • An evaluation of whether the current environment can support AI, and what gaps must be closed first
  • A practical roadmap outlining how to move from the current state to a more advanced and reliable analytics capability

This is not a conceptual framework. It is a working document leadership can use to guide decisions and investments. 

Why This Matters Now 

Many organizations feel pressure to adopt AI without first establishing whether their data environment can support it. 

In practice, this often leads to: 

  • Reports that do not reconcile
  • Tools that are implemented but underused
  • Initiatives that stall after initial enthusiasm
  • Time and capital invested without measurable impact

The issue is rarely technology. It is lack of clarity.  Establishing a clear baseline before investing allows leadership to move forward with confidence and avoid unnecessary complexity. 

Who This Is For 

  • Executive teams preparing to invest in analytics or AI
  • Organizations with reporting that is inconsistent or difficult to trust
  • Companies seeking alignment before scaling digital or data initiatives
  • Leadership teams that want a clear, structured starting point 

Outcome 

At the end of the three days, leadership has: 

  • A clear view of how data is currently used across the organization
  • A concrete understanding of where gaps and risks exist
  • A prioritized set of actions to improve visibility and performance
  • A defined path forward — including whether to proceed, where to invest, and what to sequence first

The result is clarity. And with clarity, you will make better decisions. 

Investment Analysis 

Typical Advisory Engagement Value 

A diagnostic of this depth is typically delivered as a bespoke consulting engagement led by senior strategy and data advisors.  In most cases, organizations commission this work as the first step before investing in analytics platforms, reporting infrastructure, or AI initiatives. 

Typical market range: 
$20,000 – $35,000 

This level of investment reflects the scope of work involved:

  • Direct engagement with senior leadership across functions
  • Detailed review of how data is currently collected, structured, and used  
  • Identification of gaps affecting reporting, decision-making, and performance
  • Formal assessment of data maturity and organizational readiness
  • Development of a structured roadmap aligned with business priorities
  • Delivery of a working document used to guide future investment and execution  

For many organizations, this phase determines whether subsequent investments deliver value — or create additional complexity. 

3-Day Diagnostic: $7,500 

This engagement delivers the same level of clarity as a larger advisory engagement, structured into a focused three-day format. 

The objective is to give leadership a clear, working understanding of where the organization stands — and what should happen next. 

 

What is included

  • Three structured working sessions with leadership and key teams
  • Review of current reporting processes and data flows
  • Assessment of data sources, quality, and consistency
  • Evaluation of governance, ownership, and operational use of data
  • Identification of gaps affecting visibility, efficiency, and performance
  • Formal Data & AI Maturity Assessment
  • Prioritized roadmap aligned with business needs
  • Executive presentation of findings and next steps

This is not a generic assessment or template-based review. The work is conducted directly with your team, using your data, your processes, and your operating context. The output is specific to your organization and immediately usable. 

What leadership gains

  • A clear understanding of how data is currently used across the business
  • Visibility into where reporting breaks down or creates risk
  • Identification of the most immediate opportunities for improvement
  • A practical sequence of actions — what to address first and what can wait
  • Confidence to invest, adjust, or pause based on facts rather than assumptions 

Why Organizations Begin Here 

Most organizations do not lack tools. They lack clarity. 

In many cases, reporting exists, data is available, and systems are in place — yet leadership still operates with limited visibility into what is driving performance, where inefficiencies exist, and how future decisions should be prioritized. 

Without that clarity, additional investment often leads to more complexity rather than better outcomes. 

This Executive Data & AI Readiness Diagnostic addresses that gap directly. It allows leadership to step back, assess the current environment objectively, and establish a clear starting point before committing to further initiatives. 

What this avoids

  • Investing in tools that do not align with actual need
  • Expanding reporting without improving decision quality
  • Launching AI initiatives without the required data foundation
  • Adding complexity to already fragmented processes

What this enables 

  • A shared understanding of the current state across leadership
  • Clear prioritization of what matters most
  • More disciplined use of time, capital, and internal resources
  • A structured path forward based on actual operating conditions

Availability is limited to maintain direct involvement at a trusted senior-advisor level. Scheduling is confirmed on a rolling basis