Clearly AI Ready
Are you ready for ArtificiaI Intelligence?
Many Organizations want to do “AI”. Can they?
Clearly AI Ready is a practical, business-first approach to help organizations assess and understand their data and analytics maturity, ensuring they’re ready to harness the power of Artificial Intelligence and advanced analytics.
Many organizations are rushing into AI projects without the right foundations, leading to poor results, compliance risks, and wasted investment. Our framework helps you avoid those pitfalls.
The 5 Pillars
Foundations
Governance
Architecture & Accessibility
Literacy
Readiness
Clearly AI Ready
Bringing Clarity to Your AI Journey
Pillar 1: Foundations
Strong data foundations are critical for AI success. This pillar focuses on:
Ensuring data quality through accuracy, completeness and consistency
Defining clear data ownership and accountability
Building reliable datasets to support trustworthy analytics and AI models
Outcome: A solid base of high-quality data that supports meaningful AI outcomes.
Pillar 3: Architecture and Accessibility
A modern and scalable architecture allows AI and data to work seamlessly across your organization. This pillar focuses on:
Building cloud-first or hybrid data environments
Ensuring data is accessible while maintaining security and control
Creating an architecture that supports both human decision-makers and AI systems
Outcome: A flexible and efficient data platform ready to support AI adoption.
Pillar 5: Readiness
AI readiness means being prepared to move from experimentation to enterprise-scale impact. This pillar focuses on:
Identifying high-impact AI use cases aligned with business strategy
Building pilot programs with clear success metrics
Developing the ability to scale successful AI initiatives responsibly
Outcome: Accelerated AI adoption that drives tangible business value.
Pillar 2: Governance
Effective governance ensures that your data and AI practices remain secure, ethical and compliant. This pillar focuses on:
Establishing data policies and procedures to ensure consistency and control
Implementing privacy and compliance frameworks (GDPR, CCPA, industry standards)
Developing ethical AI principles to mitigate risks and bias
Outcome: Reduced risk, improved compliance and a trustworthy AI environment.
Pillar 4: Literacy
AI is only effective when people know how to use it. This pillar focuses on:
Building AI and data literacy across all levels of the organization
Developing storytelling and interpretation skills to translate data into action
Fostering a culture where data-driven decision-making is the norm
Outcome: An empowered workforce that uses AI and data confidently and responsibly.
