Naming the Trade-offs Before the Architecture Was Built
The situation
A company was about to commit to a substantial AWS architecture decision — a choice of data platform, AI integration approach, and operational model that would shape years of work and millions in spend. Internal opinions were strong but unstructured: each function wanted what worked best for them, with little visibility into what each option would cost or constrain for the others.
The work
Built a structured tradeoff analysis across the realistic architecture options — cost, scale, security posture, operational complexity, governance readiness, time-to-value, vendor lock-in, and the implications for how the business would actually run the resulting system. Each option was scored against the criteria that mattered to the actual decision-makers, with the trade-offs named explicitly rather than buried in technical detail. Leadership saw what they were choosing, what they were giving up, and why.
The result
The decision got made deliberately rather than by attrition. The chosen architecture wasn’t necessarily what any single function would have picked on its own — but it was the one the business could defend after the fact, because the trade-offs had been made with full visibility instead of after they showed up as problems.