Strategy
Priorities, ownership, and responsible-use policies.
Business diagnostic · 6–8 minutes
Measure where you are. See what to do next.
18 questions assess strategy, data, technology, processes, talent, and culture. You receive a maturity level and the actions needed to move forward.
Built and delivered with Mappi
AI maturity result
Use
SCORE
38 / 72
Strategy 2.0
Data 1.5
Technology 2.5
Processes 1.8
Talent 2.2
Culture 2.7
03 / 05 Use
AI already creates value in some areas, but it still depends on isolated initiatives.
A measurement people can understand, not a black box
The diagnostic turns observable practices into a shared view of the company. Every answer uses the same scale and contributes to one specific dimension.
18questions
6dimensions
0–4points per answer
72possible points
5maturity levels
6–8 minto complete
Data
Access, quality, and information protection.
Technology
Approved tools, integration, and ability to scale.
Processes
Repeatable cases, workflows, and impact measurement.
Talent
Literacy, role-based training, and specialized capabilities.
Culture
Leadership, adoption across areas, and shared learning.
The same scale across all 18 questions
0Does not exist
1Isolated test
2Recurring use
3Standardized
4Integrated and improved
What each person receives
A result people can read, explain, and turn into action
The report does not stop at a score. Four views show the team where it stands, what is holding it back, and what to do first.
03 / 05Use
AI already creates value in some areas, but it still depends on isolated initiatives.
38 / 72
Strategy2.0
Data1.5
Technology2.5
Processes1.8
Talent2.2
Culture2.7
01Data is fragmented across systems
The highest-priority gap appears in Data: 1.5 out of 4.
01Data is fragmented across systems
02Success is measured by activity, not impact
03Useful cases still depend on isolated people
0–30 daysOrganize
Inventory, owners, data, and baseline metrics.
31–60 daysStandardize
Turn useful experiments into repeatable processes.
61–90 daysScale
Role-based training and rollout to new areas.
What the company receives at the end
The result separates the diagnostic into layers so a strategic conversation can become concrete decisions.
Overall level
Places the company in one of five states and explains what characterizes that moment.
Dimension view
Compares strategy, data, technology, processes, talent, and culture on one scale.
Strengths and gaps
Distinguishes what accelerates adoption from what limits the next step.
Prioritized actions
Suggests quick wins and a 90-day roadmap that match the achieved level.
The Nova Manufacturing report uses fictional data and only demonstrates the shape of the result.
How it is built in Mappi
Every answer adds evidence, not just points
Scored questions are organized by category. Mappi calculates the level and connects the result with recommendations and a plan.
SelectionScoringRankingRangeTextAudioFollow-ups
Processes and use cases
How is AI used in the company’s critical processes?
It is not used +0
Isolated tests +1
Recurring use in some areas +2
Embedded in cross-functional processes +3
Continuously improves decisions +4
Five stages. A different next step for every company.
The result does not reward “having tools.” It measures whether the organization can turn them into a repeatable capability.
1
0–14 PTS
No use
There is no repeatable use or clear ownership.
Next: Organize data, processes, and basic literacy.
2
15–28 PTS
Experimentation
Pilots and individual use exist without a shared framework.
Next: Prioritize use cases, owners, and metrics.
3
29–43 PTS
Use
Some areas use AI repeatedly and already see value.
Next: Integrate data and scale useful workflows.
4
44–57 PTS
Adoption
AI is embedded in cross-functional processes and controls.
Next: Manage the portfolio and organizational change.
5
58–72 PTS
Transformation
AI is a core capability of the business model.
Next: Optimize, measure, and build proprietary capabilities.
This diagnostic is one example of what you can build in Mappi
The AI methodology is already published, while the platform also lets you create custom diagnostics for other industries, teams, or frameworks.
- 18 questions
- 6 categories
- Common 0–4 scale
- 5 maturity ranges
- Questions and options
- Scores and categories
- Level names and limits
- Score visibility
- Recommendations and plans
- Logo, color, and font
Sample report · fictional data
The result explains where you are and what to do first
Nova Manufacturing is at the Use level. Culture is its strength; data and processes are the priority gaps.
Nova Manufacturing
Use
Strategy 2.0Data 1.5Technology 2.5Processes 1.8Talent 2.2Culture 2.7
Strengths that accelerate
- +Leadership is open to experimentation
- +Teams have initial recurring use cases
- +Tools are available to key areas
Gaps that slow progress
- !Data is fragmented across systems
- !Success is measured by activity, not impact
- !Useful cases still depend on isolated people
Five prioritized quick wins
01Create a single inventory of AI use cases2 weeks
02Assign an owner and metric to the top three cases30 days
03Create a minimum data and responsible-use policy30 days
04Standardize two workflows that already work60 days
05Train area leaders to scale adoption90 days
90-day roadmap
0–30 days
Organize
Inventory, owners, data, and baseline metrics.
31–60 days
Standardize
Turn useful experiments into repeatable processes.
61–90 days
Scale
Role-based training and rollout to new areas.
The experience adopts the questioner’s brand
From Customization, apply a logo, font, and color. The preview shows every change before publishing.
Customization
NNOVA
10 / 18
AI maturity diagnostic
Is there a documented strategy for using AI?We have an informal plan
It is documented with clear owners
What to know before starting
How long does it take?
The experience is designed to take approximately 6–8 minutes.
Is the result only a score?
No. It includes a level, dimension comparison, strengths, gaps, prioritized actions, and a 90-day roadmap.
Can I build another diagnostic with my own method?
Yes. Mappi lets you configure scored questions, categories, levels, recommendations, action plans, and appearance.
Is Nova Manufacturing real data?
No. It is fictional data used to demonstrate how a report is organized and presented.
Your level should be based on evidence, not intuition
Answer the 18 questions and receive the priorities that match your current stage.
Start diagnostic