~8%
expired documents in circulation
Documents past their expiration date, never archived — so still potentially used at the workstation.
DMS · Documentation
How much does your documentation system cost? How many expired documents are still in circulation? Who really writes what? Most organizations have no idea. And yet the DMS (document management system) holds all the answers — you just have to let the data speak.
~€40M/year
the estimated cost of ownership of a documentation system at a large healthcare group — writing, revisions, approvals, distribution, reading. An invisible budget, never managed as one.
We manage inventory, production, quality… but almost never documentation, even though it consumes thousands of hours and weighs heavily. The first step isn't to simplify: it's to measure. By exporting and analyzing the DMS metadata, you get an objective X-ray of the real state of the repository.
The real problem
We simplify blindly, without knowing where it hurts.
Launching a simplification effort with no assessment means trimming at random. Where are the expired documents still being circulated? Which processes concentrate over-revision? Who are the few authors carrying the load? How many documents does an operator really need to open to do the job? The DMS data answers — and points the effort where it pays off.
What the data reveals
Recurring findings across repositories of tens of thousands of documents.
~8%
Documents past their expiration date, never archived — so still potentially used at the workstation.
up to 74
Over-revision flags unstable documents, patched over and over without ever fixing the root cause.
30% → 80%
A minority of authors (~30%) carry 80% of the changes. Training them first multiplies the impact.
3.3
Every extra approver lengthens the workflow. Going back to 2 speeds things up without weakening control.
4 docs
Useful information is scattered across procedures, appendices and records: documentation efficiency measured at 57–66%.
14 → 7
A single process carried by 14 procedures and 80 appendices can fit into 7 documents, with no appendix — the data proves it.
The method
From the metadata (type, status, dates, revisions, authors, approvers), you build a manageable view.
| Reading | What you look at | What you decide |
|---|---|---|
| Lifecycle | Status, effective / expiration / archiving dates | Purge expired documents, archive, de-risk the WIP |
| Stability | Number of revisions, frequency of changes | Target documents to rebuild at the root |
| Structure | Ratio of procedures / instructions / appendices | Rationalize the pyramid, remove duplicates |
| Governance | Authors, approvers, issuing functions | Train key authors, streamline approval workflows |
From assessment to action
Even before rebuilding the corpus, the data triggers fast gains.
Cap the number of approvers
Go from 3 to 2: shorter workflows, no loss of control.
Train key authors
Target the ~30% of authors who carry 80% of the changes.
Go / no-go committee
Decide before creating or editing: stop the inflation at the source.
Documentation dashboard
Routinely track cost, lifespan and the author Pareto.
Go further
Once the assessment is done: the method to halve the layered paperwork.
Read the article → AI tool ↗The AI that analyzes the corpus, detects redundancies and contradictions and recomposes the documentation.
maestro.sinfony.ai ↗ ConsultingAlign documentation, training and practice on one single source of truth.
Learn more →Frequently asked questions
From a simple export, we produce the X-ray of your repository and quantify the potential.