Our Doctrine

Doctrine defines what must remain true, even when conditions change. These are the principles Techabo enforces, not aspirations we hope to achieve.

First principles

These govern how we evaluate decisions, prioritize work, and measure success.

We measure success by what changed, not by hours worked or tasks completed.

AI, automation, and software accelerate work. Humans remain responsible for results.

Every automated process has logs, audit trails, and human checkpoints. Black boxes are not acceptable.

When something breaks, it should stop and alert. Silent failures compound into larger problems.

Every deliverable, system, and decision has a named owner. Ambiguity breeds neglect.

AI changes what is possible. It does not change what is required. These beliefs anchor how we build and deploy AI systems.

AI multiplies the effectiveness of skilled operators. It does not replace judgment or accountability.

Internal tools can experiment. Client-facing systems require validation, testing, and oversight before deployment.

Every AI-generated artifact is reviewed by a human before delivery. The reviewer owns the output.

When AI encounters edge cases or uncertainty, it escalates to humans rather than guessing.

Guardrails exist for reasons. Understanding the reasons matters more than memorizing the rules.

Because quality degrades when speed is the only priority. Review catches errors before they compound.

Because complexity exceeds playbooks. Senior oversight ensures edge cases receive appropriate attention.

Because accountability requires experience. Juniors learn by working within structure, not by being abandoned to it.

Constraints define character. These lines do not move.

Doctrine informs how we operate. For operational details, see How We Operate