73% of AI Projects Fail—Here’s How a 15-Minute Assessment Can Help
Most AI initiatives don't fail because of bad technology. They fail because organisations don't understand their starting point. According to Gartner, up to 85% of AI projects never make it to production. The common thread? Organisations jumping into AI without a clear picture of their readiness across critical business dimensions.
The Problem with "Just Start Building"
When leadership gets excited about AI, the typical response is to hire data scientists, buy tools, and start a pilot project. Six months later, the project stalls. Why? The organisation lacks the data infrastructure to support it. Or the team doesn't have the right skills. Or worse—there was never a clear business problem that AI was actually suited to solve.
This is where CogniFlow's AI Readiness Assessment changes the game.
What CogniFlow Actually Measures
Unlike generic surveys, CogniFlow evaluates your organisation across six scientifically-designed dimensions:
1. Strategic Awareness (25% of score)
Does your leadership understand AI capabilities and limitations? Is there a documented AI strategy? Have you identified specific business problems AI could solve? These questions reveal whether AI adoption is strategic or reactive.
2. Data Infrastructure (30% of score)
AI is only as good as the data feeding it. We assess data quality, accessibility, governance frameworks, and what percentage of your processes generate structured data. Many organisations discover their data is siloed, inconsistent, or simply not ready for AI.
3. Technical Readiness (20% of score)
Beyond data, what's your IT infrastructure like? Can your systems integrate with AI tools? Do you have cloud capabilities? API accessibility? These technical foundations determine whether AI projects are technically feasible.
4. Organisational Readiness (15% of score)
People matter as much as technology. We evaluate team AI literacy, change management capabilities, and whether your culture supports experimentation. An organization that fears failure will struggle with AI adoption.
5. Use Case Alignment (10% of score)
Have you identified where AI can actually add value? Are those opportunities prioritised by ROI? This category separates organisations with concrete plans from those chasing buzzwords.
6. Regulatory & Compliance (Public sector only)
For government organisations, we add compliance considerations—legal frameworks, ethical guidelines, and citizen data protection requirements.
How the Assessment Works
The process is designed to be conversational, not bureaucratic:
- 15 questions tailored to your sector (private, public, or individual)
- 10-15 minutes average completion time
- Voice or text input—answer questions naturally by speaking or typing
- AI-powered analysis using NLP to understand nuanced responses
- Instant results with a readiness score from "AI Beginner" to "AI Ready"
Each question includes guidance text to help you provide detailed, meaningful answers. The AI doesn't just count keywords—it understands context, detecting mentions of ROI, limitations, use cases, and implementation details.
What You Get at the End
Your results include:
- Overall Readiness Score expressed as a percentage with a readiness level (AI Beginner, AI Aware, AI Emerging, AI Capable, or AI Ready)
- Category Radar Chart showing your strengths and gaps visually
- AI-Generated Insights identifying patterns and barriers specific to your organisation
- Personalised Action Plan with concrete next steps mapped to the 6 AI Primitives (Classification, Generation, Transformation, Extraction, Reasoning, Prediction)
- Project Recommendations ranked by impact and feasibility for your situation
Why This Matters Before Any AI Investment
Understanding your readiness score before investing in AI projects is like getting a health checkup before running a marathon. You might discover you need to focus on data governance before building models. Or that your team needs AI literacy training. Or that your IT infrastructure can't support the integration you're planning.
These insights cost nothing compared to a failed $500,000 AI pilot.
Try It Free
CogniFlow is Swiss-built with GDPR-compliant data handling. During our MVP phase, the assessment is completely free.
Start your assessment: https://cogniflow.everyday-ai.tech/assessment