# Advanced Analytics & AI — Intelligen

The Foundation of GenAI is Your Data Strategy.

## The GenAI Challenge
Most organisations are at an early stage of their GenAI journey. Common challenges include:
- Lack of data readiness for AI workloads
- Absence of governance frameworks for AI outputs
- Difficulty demonstrating commercial return from AI investment
- Skills gaps in AI/ML engineering and data science

## The Opportunity
GenAI represents a step-change in how organisations can extract value from data. The organisations that will benefit most are those that have invested in data foundations first.

## Levels of Analytics Maturity
1. Descriptive: What happened? — Dashboards, reports, historical analysis
2. Diagnostic: Why did it happen? — Root cause analysis, drill-down analytics
3. Predictive: What will happen? — Machine learning models, forecasting
4. Prescriptive: What should we do? — Optimisation, recommendation engines
5. Generative: What can we create? — GenAI, large language models, agents

## AI Governance
Intelligen embeds governance from the first line of AI code. We help organisations design AI risk frameworks, implement responsible AI principles, and build the audit infrastructure required for regulatory defensibility.