AI Readiness Assessment: What Does Good Look Like?
Most AI readiness assessments measure technology. The AI Readiness Assessment measures your organization - across Five Building Blocks, with honest self-evaluation and real benchmarks.
Operations and AI Readiness: The Discipline You Can’t Skip
Operations brings the lean discipline that AI implementations desperately need. Waste elimination, metrics culture, and daily standups matter more than algorithms.
Product Development and AI Readiness: From Widgets to Intelligence
Product Development is the only team that can answer the question "what should AI do for our customers?" That conversation - from widgets to intelligence - is where new revenue lives.
Sales, Marketing, and AI Readiness: Voice of the Customer
Sales and Marketing sit on the richest unstructured data in the company and have spent their careers mastering the art of change. Those aren't peripheral skills for AI readiness - they're the core challenge.
Finance and AI Readiness: Speaking in Facts
Finance has been speaking in facts - insisting on data rigor, measuring value, building structures that survive turnover - since before AI was a boardroom topic. Those aren't peripheral skills for AI readiness. They're foundational.
AI Readiness: Objects in the Mirror Are Closer Than They Appear
The same mistake companies made with digital transformation - treating it as IT's problem - is happening again with AI. But every department already runs on information and technology. AI readiness is an organizational capability, not a technology initiative.
Unstructured Data and AI: The Knowledge You’ve Been Sitting On
The Data Value Chain was built for structured data. But 80% of what your organization knows is unstructured - and AI just cracked it open. This is the knowledge management breakthrough we've chased for 30 years.
AI and the Data Value Chain: Where the Bottleneck Moved
AI compressed the technical middle of the Data Value Chain, shifting the bottleneck to the human bookends - Insight and Present. Most organizations haven't noticed.
The Data Value Chain: Seven Skills That Turn Data Into Decisions
A seven-step framework for turning raw data into business decisions. The Data Value Chain maps the distinct skills required at each stage - and explains why you need a team, not a unicorn.
Who Owns Your AI Transformation?
IT, Marketing, and Operations can all claim ownership of your AI strategy. Committees claim nothing. The right owner is defined by what they can see, connect, and serve.