Making payments more predictable
A payment initiative began with an assumption that a new platform was required. Direct investigation with the business revealed predictability was the real need, changing the scope entirely.
Explore examples from my professional career and systems I have built. Each offers a different view of how I work with problems, people, and technology.
Historical accounts of problem discovery, technology investment assessment, and capability transformation from executive and technology leadership roles.
A payment initiative began with an assumption that a new platform was required. Direct investigation with the business revealed predictability was the real need, changing the scope entirely.
Repositioning a regional PMO into a global strategic portfolio capability based on Kanban and Lean, transitioning consultants into employee roles for lasting internal ownership.
Investigating missing morning sales reports transformed a multi-million platform replacement into a focused, high-ROI modernization of the existing infrastructure.
Open-source software, agentic harnesses, and verifiable operating systems built and maintained by Samuel through Move the Needle.
Turn AI-assisted engineering into clear responsibilities, reviewable evidence, and accountable decisions. Reusable across teams, methods, and AI environments.
Bring bounded, approved context into supported AI tools through project-aware local MCP—without giving up readable source or review.
Build portable agents, then audit the system around them. Harness validation adds read-only, evidence-first checks for reliability and safety.
Tell me what your team is working on, where things get difficult, or what you would like to explore with AI. I'll respond personally.