Nothing downstream is better than the register it starts from.
Where intake data will not support a defensible study, Data Readiness fixes that first. It is a prerequisite rather than a follow-on, and we would rather tell you before an engagement than during one.
Extract once. Structure once. Calculate many times.
A study built on an unreconciled register produces findings nobody can defend. The arithmetic is fine; the population is wrong.
Data Readiness establishes the foundation once, so every engagement that follows runs against the same structured source rather than rebuilding it each time. That is why it is priced and scoped as its own step.
From what you have to what a study needs.
The current state is assessed honestly: what exists, where it lives, what it is missing, and what it would take to make it usable.
Asset records are reconciled to the general ledger, so the register and the books agree before anything is computed from either.
Contract records are structured against the assets and facilities they touch.
Gaps that cannot be closed are documented as gaps, with their effect on what can and cannot be concluded later.
Scope runs across several sub-tiers depending on the condition of the data, established before work begins rather than discovered during it.
A prerequisite, scoped on its own terms.
Data Readiness is a single flat fee, fixed in the engagement letter before work begins. It stands on its own and does not carry the Diagnostic conversion credit, because it is foundation work rather than a study.