Requirements engineering is one of the most undervalued phases of software delivery. Teams rush through discovery, write vague user stories, and then wonder why the resulting software does not meet expectations. The cost of rework caused by poor requirements dwarfs the cost of getting them right.
At Pareto, we treat requirements as the foundation of everything. Our AI agents parse stakeholder intent and enrich it with company standards, compliance rules, and lessons learned from previous projects. The output is structured, testable specifications with clear acceptance criteria.
The human role in this process is deliberate and focused: define business goals, validate the generated requirements, and approve the backlog. The AI handles the heavy lifting of structuring, cross-referencing, and ensuring completeness. The result is requirements that are over 95% complete before a single line of code is written.
This approach eliminates entire categories of waste — rework, misalignment, scope creep, and the endless back-and-forth that plagues traditional projects. When every user story traces back to a real business need, teams can move with confidence and speed.