My Approach

Strategic Prioritization

"What actually matters and delivers value"

Most technology projects fail not because of bad code, but because teams build the wrong things or can't agree on what success looks like.

I help teams:

• Distinguish "urgent" from "important" in a product roadmap
• Ask the right questions before any software project starts
• Build truly minimal viable products (not everything at once)
• Evaluate build vs. buy decisions without getting paralyzed
• Understand the hidden cost of building everything in-house

Sustainable Architecture

"Design for long-term success, not quick wins"

Technical decisions made early compound over time. Good architecture isn't about using the newest tools - it's about making choices you won't regret in three years.

I focus on:

• The architecture questions every business owner should ask
• Signs your software is built for the builder, not the business
• When to refactor vs. when to rebuild
• Why "we'll fix it later" rarely happens (and what to do instead)
• Building systems that your future team will thank you for

Human-Centered Change

"Technology only works if people adopt it"

The best system in the world fails if the people who need to use it don't understand it, trust it, or want it. Change management is a technology skill.

Key principles:

• Start with people, not requirements
• Get honest feedback before it's too late
• Understand why software rollouts struggle
• Bridge the empathy gap in technical leadership
• Ensure solutions actually get used, not just delivered

Practical AI

"AI as amplifier, not replacement"

AI is a powerful tool for accelerating and amplifying your team - but it's not a magic bullet. When implemented poorly, you end up working for the AI rather than the AI working for you.

My perspective:

• AI should amplify your team, not replace their judgment
• Speed gains are real, but only valuable when paired with human reasoning
• The goal is better outcomes, not just more output
• Wisdom, judgment, and conversation remain irreplaceable
• AI won't fix a broken process - it will just break it faster

"The organizations that will win with AI aren't the ones adopting fastest. They're the ones keeping human wisdom, reasoning, and conversation at the center."