Less rework. Fewer surprises. Better sign-offs.
Four views into the same document.
Modern specifications span thousands of requirements, authored across teams and workstreams that rarely read each other's chapters. Wyzer runs seven analyses on every document — then gives you four dashboard views to act on what it finds. Score each requirement for quality, surface contradictions and coverage gaps before they become contract disputes, check every clause against the standards you have to meet, and explore the full web of dependencies.
Color indicates severity throughout, fromneeds attention toon track.
The system shall respond quickly to user input under expected load conditions.
The system shall respond to user input within 200 ms (P99) when sustaining ≤ 500 concurrent sessions, as defined in §3.2 Load Profile.
Five business risks every specification carries.
Rework costs more than the fix.
Finding a conflict or contradiction after build has started costs 29× more than catching it before sign-off. Change requests negotiated under delivery pressure rarely go in your favour.
Programme slippage starts in the spec.
A requirement in chapter 3 assumed one thing. A requirement in chapter 11 assumed the opposite. Both teams reviewed their own sections correctly. Nobody read across the boundary. By the time integration found the conflict, the budget that would go to rework had already been committed. Every week lost this way was visible in the document from the start — waiting for someone to read the whole thing at once.
Specification gaps erode contract margin.
Suppliers price for what is written. Gaps become change requests. Change requests become margin loss. Wyzer surfaces what is missing — and lets teams explore the full dependency map — before the contract is signed.
Missing compliance becomes an audit failure.
New rules and standards do not pause your programme. Wyzer checks your specification against the obligations you are contractually or legally bound by — before you submit, not after the audit flags the gap.
Recalls are traceable to documents.
93 million vehicles were recalled across 2023–2025. Most failures were present in the requirements document long before a single part was built. Customers and regulators do not distinguish between engineering error and business failure.
The tools that turn findings into action.
Sherlock, Detective's analysis engine, is not a general-purpose AI — it is a purpose-built engine trained specifically to interpret engineering requirements at scale. It pairs AI-driven semantic analysis with deterministic rule-based validation, so every finding is consistent, reproducible, and explainable.
Requirements clustered into semantic neighbourhoods, revealing dependencies, risk concentrations, and the blast radius of any change.
Diagrams, tables, and images analysed alongside the text — every mismatch mapped back to the affected requirement IDs.
Structured prompts generated from the coverage analysis, walking specification authors through missing requirements one domain at a time.