Case studies

Selected decisions and their consequences.

Three decisions from Samuel's career in enterprise technology leadership. Each starts with a common assumption, shows how the decision was reframed, and names the principle behind it. Organizations and confidential details are not identified.

Capital allocation

Testing the replacement premise before committing capital

A planned platform replacement was shown to be unnecessary. An upgrade roadmap delivered business value within six months, earlier than replacement could have.

Operating model

Turning a regional PMO into a strategic portfolio capability

An operating-model redesign moved ownership in-house and scaled a Lean portfolio process across three regions. Portfolio value under management grew by about a third without added management overhead.

Scope and investment

Payment predictability without a new platform

Discovery showed that the real need was predictability. The planned platform and integration were not needed.

Built in public

Open-source systems.

Samuel builds the AI-delivery and observability systems he writes about, so his judgement on AI governance comes from direct evidence.

Accountable AI delivery

AgentFlow SDLC

Turn AI-assisted engineering into clear responsibilities, reviewable evidence, and accountable decisions.

Agent observability

agent-otel-bridge

See what AI coding agents actually do, in the observability stack an organization already runs.

Governed agent runtime

Meshloop

Run AI coding agents in parallel without losing control of the codebase, with a human accept gate.

All open-source systems

Start a conversation

Describe the decision in front of you, what has been tried, and what is at stake. Every message is read and answered by Samuel.