When this practice is used
- Developing enterprise data strategy
- Assessing AI and machine learning readiness
- Establishing data governance frameworks
- Evaluating analytics and BI capabilities
- Preparing for data-driven decision making
- Addressing data quality and management challenges
Typical outputs
- Data strategy documents
- AI readiness assessments
- Governance frameworks and policies
- Data maturity assessments
- Analytics capability roadmaps
- AI use case prioritization
- Data architecture recommendations
- Training and change management plans
Additional context
Many organizations are under pressure to "do something with AI" without clear understanding of what's possible, appropriate, or valuable. The Intelligence practice helps clients cut through hype and make grounded decisions about data and AI investments.
We focus on fundamentals that enable success regardless of specific technology choices: data quality, governance, organizational capacity, and clear understanding of use cases and risks.
Common questions
Do you implement data systems or AI solutions?
No, we focus on strategy, governance, and readiness. We can help define requirements and evaluate vendors for implementation, but we do not serve as integrators.
How do you approach AI without being technology vendors?
We focus on organizational readiness—governance, data quality, use case identification, risk assessment—rather than specific AI products or platforms.
What about AI ethics and responsible use?
Responsible AI practices are integrated into our approach. We help clients establish guidelines for appropriate use, bias mitigation, and human oversight.
Can you help with existing analytics programs?
Yes, we assess current capabilities, identify gaps, and recommend improvements. This includes governance, technology, and organizational aspects.
How do you stay current on rapidly changing AI capabilities?
We maintain ongoing awareness of AI developments while focusing on fundamental questions that persist across technology generations—governance, quality, ethics, and organizational readiness.