🤖 AI-Powered Assessment

The Complete Data & AI
Readiness Framework

A comprehensive 6-dimension assessment framework to evaluate your organization's preparedness for AI transformation. Identify gaps, prioritize investments, and build a data-driven roadmap to AI success.

The AI-Powered Difference:

Answer 10 questions (5 min) → AI predicts the other 65 answers → You review & edit (10 min) → Complete assessment in 15 minutes instead of 60.

See What AI Predicts About Your Org

15 min total • 89% AI accuracy • Free Fygurs account required

Why This Framework Matters

10
Questions
You Answer
65
Questions
AI Predicts
15min
Total Time
vs 60 minutes
89%
Prediction
Accuracy Rate

How AI-Powered Assessment Works

We don't make you answer 75 questions. We're smarter than that.

1

You Answer 10 Core Questions

Takes ~5 minutes. These are the most important questions across all 6 dimensions.

2

AI Analyzes Your Patterns

Our model (trained on 100+ assessments) predicts how you'd answer the other 65 questions based on your first 10 answers.

3

Review AI's Predictions

See the 65 predicted answers. Most are spot-on. Edit the ones that aren't. Takes ~10 minutes to review.

4

Get Your Full Assessment

Complete 75-question assessment in 15 minutes instead of 60. Plus your score, gaps, and AI-generated roadmap.

Why this works: If you say your organization has no data governance, AI can predict you probably also don't have a data catalog, defined ownership, or quality standards. We show you these predictions. You confirm or correct. Done in 15 minutes instead of 60.

73%

Why AI Initiatives Fail

According to research from Gartner, McKinsey, and Forrester, nearly three-quarters of AI and data science projects never make it to production.

1. Poor Data Quality (85% of failures)

You can't build reliable AI on unreliable data. Inconsistent data across systems, no quality monitoring, missing or incorrect values—these kill AI projects before they start.

2. Lack of Data Infrastructure (68%)

AI requires modern data platforms that can ingest data from multiple sources, process large volumes quickly, and serve results in real-time. Legacy systems can't handle it.

3. No Governance (61%)

Who owns the data? Who can access it? Who decides what models get deployed? Without clear governance, projects stall in endless approval loops.

4. Skills Gap (57%)

You hired a data scientist—great! But do they have access to clean data? Tools to build models? Engineers to deploy them? A culture that trusts AI?

5. No Business Strategy (54%)

The coolest AI project means nothing if it doesn't solve a real business problem or tie to measurable outcomes.

All five failures trace back to maturity gaps. This is why assessment comes first.

The 6 Dimensions of AI Readiness

Every AI-ready organization excels across these six interconnected dimensions

1

Strategy & Business Value

You can't AI your way out of a strategy problem. Before you invest in platforms, models, and talent, answer this: Why? What business problem are you solving? How will you measure success?

What We Assess:

  • Is data/AI a strategic priority with executive sponsorship?
  • Are data/AI initiatives tied to measurable business outcomes?
  • Do you have a clear vision and roadmap?
  • Is there centralized coordination of data/AI efforts?

Why It Matters:

Without executive sponsorship, data projects get deprioritized when budgets tighten. Without clear business value, you can't justify investment.

2

Trust, Security & Compliance

73% of consumers say they'd stop using a company's products after a data breach. And regulators are watching: GDPR, CCPA, EU AI Act. If you're not thinking about ethics, security, and privacy from day one, you're building risk into your foundation.

What We Assess:

  • Do you have an AI ethics framework?
  • Can you explain how AI systems make decisions?
  • Is privacy-by-design embedded in all data processes?
  • Do you classify AI systems by risk level?
  • Are cross-border data movements managed?

Why It Matters:

Regulatory fines are massive (up to 4% of global revenue). Customer trust is fragile. Manual compliance is unsustainable.

3

People & Culture

Tools don't use themselves. Platforms don't drive decisions. People do. And if your people aren't data-literate, AI-ready, and empowered—nothing else matters.

What We Assess:

  • What % of employees are data & AI literate?
  • Do employees accept and trust AI?
  • Is there a change management approach for data initiatives?
  • Does leadership model data-driven decision making?
  • Is experimentation encouraged?

Why It Matters:

The best data platform is useless if people don't know how to use it or trust it. Culture flows from the top.

4

Data Governance & Quality

Governance sounds boring. It's not. Governance is what prevents three teams building the same dashboard, models deployed without approval, and "Customer ID" meaning different things in different systems. Combined with quality management, this dimension ensures your data is trustworthy, findable, and managed throughout its lifecycle.

What We Assess:

  • Are data quality standards defined, measured, and enforced?
  • Do you have a data catalog for discovery and documentation?
  • Are data ownership, stewardship, and roles clearly defined?
  • Can you trace data lineage from source to consumption?
  • Do you manage master data (customers, products) effectively?
  • Is metadata management part of your data lifecycle?

Why It Matters:

Without clear ownership, nothing gets maintained. Without quality controls, bad data leads to bad decisions. Without governance, chaos spreads. This is the foundation that makes everything else possible.

5

Data & Technology Infrastructure

You can't run AI on Excel spreadsheets and FTP servers. Modern AI requires modern infrastructure: cloud platforms, real-time processing, automated pipelines. The question isn't whether to modernize—it's how far behind are you?

What We Assess:

  • Do you have a modern data platform supporting batch and real-time processing?
  • Is your platform cloud-based with scalable storage?
  • Is data access self-service for authorized users?
  • Can you integrate new data sources quickly and automatically?
  • Does your infrastructure support machine learning at scale?

Why It Matters:

Legacy systems can't handle AI workloads. Manual integration doesn't scale. Cloud-native platforms are the foundation for everything else.

6

Adoption & Value Delivery

You built the platform. You hired the team. You cleaned the data. But is anyone actually USING it? And more importantly—is it delivering measurable business value? This dimension measures whether your data and AI investments are translating into real outcomes.

What We Assess:

  • Do business teams have self-service access to data and analytics?
  • Are data assets reusable across projects and teams?
  • Do you have automated deployment for data products?
  • Is data adoption measured and tracked?
  • Are business outcomes linked to data initiatives?

Why It Matters:

Usage is the ultimate measure of success. Platforms don't create value—decisions and actions do. Without adoption and value delivery, everything else is just infrastructure cost.

Understanding Your Maturity Score

Where does your organization stand?

Level 1

Initial (1.0-1.5)

Ad-hoc processes. No standards. Reactive. No strategy. Most companies start here.

Level 2

Developing (1.5-2.5)

Some processes defined. Pockets of excellence. Inconsistent execution. This is where most mid-market companies land.

Level 3

Defined (2.5-3.5)

Processes documented and followed. Standards exist. Strategy is clear. You're on the right path—now focus on scale and consistency.

Level 4

Managed (3.5-4.5)

Processes measured and optimized. Proactive. Strong governance. You're ahead of most—ready for advanced AI use cases.

Level 5

Optimizing (4.5-5.0)

Continuous improvement culture. Industry-leading. AI-driven operations. You're in the top 15%. Keep innovating.

Frequently Asked Questions

Why do I need to create an account?

The assessment isn't a one-off quiz—it's your onboarding into Fygurs, an AI-powered product strategy platform. We don't just give you a score and send you a PDF. We give you tools to prioritize initiatives, build roadmaps, and track progress. The account is how you access all of that.

What happens after I sign up?

Immediately after creating your account, the AI assessment begins. You'll answer 10 questions (5 min), AI predicts 65 more answers, you review and edit predictions (10 min), and get your complete results with 20+ prioritized initiatives. Then you can use Fygurs to build your roadmap and track execution.

Is it really free?

Yes. No credit card required. The AI assessment and basic roadmapping features are free. If you want advanced features later (team collaboration, integrations, etc.), there are paid plans. But the assessment and core platform are free to start.

How long does everything take?

Sign up: 2 minutes
Answer 10 questions: 5 minutes
Review AI predictions: 10 minutes
Total: ~17 minutes from start to complete roadmap

How accurate are the AI predictions?

Our AI has an 89% accuracy rate based on tracking across 100+ completed assessments. The predictions are based on common patterns—for example, organizations without data governance rarely have data catalogs or quality standards. You can edit any predictions that don't match your situation.

Ready to See What AI Predicts?

Answer 10 questions. AI predicts 65 more. Review and edit. Get your complete roadmap.

  • ✓ 15 minutes instead of 60
  • ✓ AI does 87% of the work
  • ✓ 89% prediction accuracy
  • ✓ Full score across 6 dimensions
  • ✓ 20+ prioritized initiatives
  • ✓ AI-powered roadmap in Fygurs
Start AI Assessment (Free)

Free Fygurs account required • No credit card • 2 min signup + 15 min assessment