Poor requirements, late discovery
Engineering teams write hundreds of requirements. Vague phrasing, missing acceptance criteria, and untestable claims surface late — typically in customer review or test. Re-work compounds across the programme.
Basewise.
Engineering requirements, graded by AI. Every requirement gets a quality score, an improved rewrite, and a list of findings against best-practice rules. Accept improvements with a click — straight into the spec.
Live demo.basewise.ai · RQA
~30s loop · muted
Live demo.basewise.ai · DRE
~19s loop · muted
Live demo.basewise.ai · REF
~30s loop · muted
AI-graded requirements, one-click improvements
Every requirement gets a 1–5 quality score against best-practice rules, an AI-suggested improved rewrite, and a list of specific findings (passive voice, ambiguous quantifiers, missing testable criteria). One click writes the improvement back into the spec.
Quality, before the customer sees it
Issues caught at authoring time, not at review. Every accepted change is logged for audit. Average requirement quality across the corpus rises measurably between revisions.
Composable Stack
LLM Balancer
Best-Practice Ruleset
Quality Scoring Engine
SSO / EntraID