Pre-Commitment Migration Claims Audit for Small SaaS Teams

A pre-send audit for engineering leads before they publicly commit to a major technical change. Instead of judging the entire migration strategy, the product audits the specific claims that are about to be stated to founders, product, or customers: expected benchmark gains, compatibility assumptions, rollback readiness, cutover duration, staffing assumptions, and first-14-day risk. The lead submits a short structured brief plus any draft decision memo. AE returns a gated artifact: strongest proceed/defer cases, disconfirming arguments, explicit failure modes, and 2–5 falsifiable tests or evidence requirements that must be satisfied before commitment. Crucially, every claim is rewritten into observable, dated checkpoints that can later be graded from objective artifacts such as PR timestamps, release notes, incident pages, status updates, benchmark outputs, or dated internal memos/screenshots—without codebase access or relying on self-reported honesty. The value is not 'AI decides your migration'; it is 'do not make ungrounded technical promises.' AE's six-pattern taxonomy then explains exactly how the original reasoning failed when claims miss reality.

The hypothesis is strong because it addresses a recurring, high-cost credibility failure in small SaaS migrations with an evidence-based, low-friction audit that converts vague promises into objectively gradable commitments.

Engine verdict: GATHER_MORE_SIGNAL (WORTH_SKIMMING). Clear pain and real whitespace, but pre-commitment willingness-to-pay is unproven and probably too episodic to trust yet.