The Decision-Driven AI Transformation Assessment.
From AI ambition to AI outcomes. A structured executive self-reflection and workshop tool for organizations serious about decision-driven transformation.
Most organizations are asking, “How do we implement AI?” A better question is: “Are we ready to create measurable business value from AI?” This assessment helps leaders examine the business, decision, data, ownership, governance, people, and operating model foundations required for AI transformation.
A structured path from readiness to roadmap.
Part 1
Business Direction
Understand what the organization is trying to achieve before discussing AI, data, or technology.
Executive Questions
- What are the five most important outcomes your organization is trying to achieve?
- Which decisions have the biggest impact on those outcomes?
- How are those decisions currently made?
- Which business priorities would benefit most from faster, clearer, or more trusted decision-making?
- Are AI initiatives currently linked to strategic business outcomes?
Part 2
Decision Maturity
Evaluate whether the organization understands its most important decisions and how mature those decisions are.
Executive Questions
- Can you identify your ten most important business decisions?
- Are those decisions documented?
- Are they measurable?
- Are they repeatable?
- Are decision owners clearly defined?
- Do different teams make the same decision in different ways?
- Can you measure whether decision quality is improving?
Part 3
Data Trust
Explore whether the information supporting critical decisions is trusted, explainable, and owned.
Executive Questions
- Which critical decisions rely on data?
- Is that data trusted by the business?
- Is ownership clear?
- Can business users explain what the data should say?
- Can teams see where the data came from?
- Are definitions consistent across teams?
- Can decision makers defend the numbers they use?
Part 4
Business Ownership
Assess whether the business owns the meaning, requirements, and outcomes of data, rather than relying entirely on technical teams. This is a key Data Tiles differentiation area.
Executive Questions
- Does the business own the meaning of data?
- Could business teams define the data needed to support critical decisions?
- Are data products currently owned by business teams or technical teams?
- Would your business teams know how to identify a trusted data product?
- Are definitions, policies, and business rules agreed by the people closest to the decision?
- Can business teams participate in creating trusted data products without waiting for long technical delivery cycles?
- Is governance applied where decisions are made?
Part 5
AI Readiness
Evaluate AI readiness from a business readiness perspective, not just a technology perspective.
Executive Questions
- Which decisions should AI support?
- Which decisions should AI never make?
- Which business processes would you redesign if AI was available from day one?
- Are you automating an existing process or transforming it?
- If you were designing this process from scratch today with AI available, would you design it the same way?
- Can AI access trusted business context as well as trusted data?
- Are your AI initiatives designed around outcomes or activity?
- Can AI outputs be explained, governed, and trusted?
Part 6
Purple People Assessment
Identify whether the organization has people who can connect business outcomes, data, governance, technology, and AI.
Executive Questions
- Do you have people who understand both business and technology?
- Who would lead AI transformation if your external consultants left tomorrow?
- Where are your future AI leaders coming from?
- Can business and technology teams translate each other's needs?
- Do you have people who understand process, data, governance, and decision-making?
- Are these people empowered, or are they trapped between functions?
- How are you developing more of these people?
Part 7
Action Plan
Turn assessment findings into an executive roadmap across Immediate, 30, 90, 180 days, and 12 months.
Immediate actions30 days90 days180 days12 monthsExecutive Questions
- What are the most urgent gaps identified by the assessment?
- Which critical decisions should be prioritized first?
- Which data products need to be created or improved?
- Where does business ownership need to be clarified?
- What governance needs to be embedded at the point of use?
- Which AI initiatives should continue, pause, or be redesigned?
- What should be done in the next 30, 90, 180 days, and 12 months?
Why this assessment matters
Most sales conversations begin with software. This assessment begins with readiness.
It gives executives and Data Tiles teams a practical way to explore whether an organization is actually ready for decision-driven AI. The assessment creates the conversation. The workshop identifies the gaps. The roadmap defines the journey. Latttice, Lenz, and active governance then become part of the answer.
Built for executive conversations
The Decision-Driven AI Transformation Assessment can support Market Signals articles, executive workshops, partner enablement, sales discovery, white papers, customer success engagements, and transformation planning.
How do we move from AI ambition to AI outcomes?
Ready to understand what the market signals mean for your organization?
Start with the Decision-Driven AI Transformation Assessment, explore Latttice, or speak with Data Tiles about how trusted data products, active governance, and decision-ready information can support your next stage of AI and data transformation.