Strategic thinking on AI adoption, operational efficiency, and business transformation. No hype, no buzzwords—just practical guidance from 30+ years of technology experience.
Over 80% of AI projects fail to deliver meaningful value—nearly double the rate of traditional IT projects. RAND research shows 84% of failures are leadership-driven, not technical. Here's what successful AI adoption actually looks like.
A self-assessment tool to evaluate your organization's readiness for AI adoption across strategy, infrastructure, and culture.
Coming SoonA guided worksheet to identify operational inefficiencies and prioritize automation opportunities.
Coming SoonQuestions to ask AI vendors, red flags to watch for, and criteria for comparing solutions.
Coming SoonPractical guidance on AI adoption and business transformation.
The single biggest predictor of AI project success isn't the technology chosen—it's whether leadership truly understands what they're deploying.
AI pricing is confusing by design. Here's how to calculate the true cost of AI solutions, including hidden expenses most vendors won't mention.
A practical framework for evaluating AI opportunities without the hype. Designed for decision-makers who need clarity, not buzzwords.
AI fluency isn't about everyone becoming a data scientist. It's about developing the vocabulary and mental models to make informed decisions.
The principles that made network infrastructure reliable are the same principles that make AI implementations successful. Here's what transfers.
Not another compliance checklist. A practical guide to AI governance that balances innovation with appropriate controls.
Connect with Daryl Lantz on LinkedIn for regular insights on AI adoption, technology strategy, and operational efficiency.
Get notified when we publish new articles and resources. No spam, unsubscribe anytime.
Newsletter signup coming soon. In the meantime, follow us on LinkedIn.
If you're exploring AI for your business, let's have a conversation. No sales pitch—just an honest discussion about what might work for you.