Hussain Qureshi

AI will not fix unclear requirements. It ships them faster. Why the specification, not the tooling, decides what AI-assisted delivery is worth.

Most technology leaders have a plan for technical debt. They track it, budget for it, and report on it as part of ongoing modernization. Far fewer have a plan for a quieter risk that starts long before a single line of code is written: requirements debt. Requirements debt accumulates when assumptions replace clarity, when conversations […]

AI removed the capacity constraint on software delivery and exposed the governance one. In financial services, the specification is now the control point that decides whether velocity compounds value or risk. Delivery is still breaking down, and the reason is no longer engineering capacity. Timelines slip. Audit evidence gets assembled by hand in the days […]

User stories help Agile teams capture intent, prioritize work, and start conversations. They do not provide a testable definition enterprise delivery requires. When business rules, edge cases, integrations, security controls, compliance needs, and acceptance criteria remain unstated, teams fill the gaps with assumptions. Those assumptions compound across sprints, creating requirements drift, rework, delays, and outcomes that miss the original business need. This article explains the difference between user stories and requirements, shows where the specification gap appears, and outlines how ML arteka’s Spec-Driven Delivery model creates a governed, traceable source of truth from business intent through the full delivery lifecycle.