AI Readiness Starts with Data, Not Models

Conversations about artificial intelligence often begin with the technology: which model, which platform, which vendor. In practice, the organizations best placed to benefit begin somewhere less glamorous — with their data.

Know what you have

AI is only as reliable as the information behind it. That means understanding what data exists, where it lives, who is accountable for it and how its quality is maintained.

Define the decision first

Strong use cases start from a business decision or process that matters, not from a capability looking for a problem. Clarity about the outcome makes it easier to judge what data, controls and skills are needed.

Govern from the start

Responsible AI depends on clear policies for data use, human oversight and accountability. Establishing these early is far easier than retrofitting them later.