Docs as Code for Regulated Industries
You are being asked to put AI on documentation that carries drug labels, device instructions, maintenance procedures, and financial disclosures. In your world, a contradiction or an invented instruction is not embarrassing. It is a recall, a fine, a safety event, or an audit finding.
Fewer AI hallucinations, and a full audit trail by construction. Your writers and your AI draft. Pelcrow checks every change against what is approved, then records who changed it, when, and why before it enters the record.
Update reset hold time to 10s for hardware rev B
Propagate approved warning statement to 14 downstream documents
Add “power-cycle” wording to reset guide
Every accepted change has an author and history.
Rules run before content enters the approved set.
The record and the content history stay together.
Cut AI hallucinations at their most fixable source: your own content.
Hallucination is a statistical certainty, not a bug you can patch to zero. In most industries it is a nuisance. In a regulated one it is unacceptable unless it is controlled. So the work is not pretending it will not happen. It is removing the causes you can remove, and refusing to let the rest through.
The largest cause you actually control is contradictory source content: the same thing documented two ways, an old version sitting next to a new one, or a term that drifted. Pelcrow removes those conflicts and then validates what the model produces against what is approved before any of it publishes. The model is never the last word. The approved record is.
Who changed what, when, and why—answered before you ask.
Your auditors already think in exactly those four terms, and version control already answers all four. Because Pelcrow keeps your documentation as plain text under version control, every edit is a timestamped, attributable record with a reason attached. Nothing is overwritten silently. Nothing quietly disappears.
You do not stand up a separate audit-logging system and hope it reflects what actually happened to the content. The audit trail is the content's own history. The record and the reality are the same object, which is the only version of an audit trail that never drifts out of sync with the thing it is supposed to describe.
A control that actually blocks, not a policy no one reads.
A change-control procedure sitting in a PDF that nobody enforces is not a control. Pelcrow's gate is. Every change, whether a person wrote it or a model generated it, has to pass your rules before it is allowed into the approved corpus: approved terminology, references that resolve, complete metadata, and no unresolved contradictions.
You decide which rules warn and which rules block, per rule and per document class. A change that fails does not enter the record. It never reaches the AI that answers, and it never reaches the reader. The blocked line above shows an AI draft introducing an unapproved term that conflicts with an existing procedure—and being stopped at the door instead of discovered during an inspection.
Judgment stays human. The rest is deterministic.
Pelcrow runs an offline, version-pinned checking engine to enforce your terminology and substitution rules deterministically. There are no probabilistic LLM guesses about whether a term is allowed. It either is or it isn't.
When a rule has a single correct answer—like a substitution or an accepted spelling—Pelcrow surfaces it as an actionable suggestion, not a silent on-save rewrite. Never silently change the author's text. Subjective rules remain flag-only. Deterministic fixes become cheap and easy; judgment fixes stay human.
One approved statement. Used everywhere. Changed once.
The same warning, dosage, procedure, or disclosure can appear in dozens of documents and languages. Copy and paste means that when you approve a change, every instance you miss silently becomes wrong. Divergence between two approved documents is precisely the kind of thing an inspection exists to find.
Pelcrow stores each approved statement once and reuses it by stable reference. Change it in one place, see every document that depends on it, and update its uses without creating another copy. Consistency stops being only a review burden and becomes a property of the system.
Divergence is a finding. Reuse makes divergence structurally preventable.
For the content that cannot leave, Pelcrow can come to it.
Regulated teams hesitate on AI because source code, controlled technical data, protected health information, and export-controlled material cannot simply be handed to a public model. No productivity gain is worth crossing that boundary.
Pelcrow is delivered as a managed cloud service for most teams. Where compliance requirements preclude that, the same codebase supports a self-hosted deployment inside the customer's environment. Your organization keeps control of its repository and chooses the approved AI tools that write into it.
Every document tied back to what it came from.
Each document Pelcrow helps produce is linked to the source it was built from: the code, the release, the specification, the ticket, or the meeting record. When that source or a shared dependency changes, Pelcrow can identify downstream documentation that may need review, so drift surfaces as work instead of a surprise months later.
This is living traceability built from the content graph and its history, not a spreadsheet someone updates quarterly and then quietly stops trusting.
It leaves with you. Format, history, and all.
Your content is plain text in your own repository, and the repository is the source of truth, not a database locked inside a vendor you cannot leave. That supports records retention and long-term archival without a proprietary format standing between you and your own regulated content, and it means changing tools never means losing history.
Bring the regime. Keep the controls explicit.
Pelcrow supplies the documentation foundation. Your organization owns validation, configuration, and the process that establishes compliance in its environment.
Pelcrow does not make you compliant. It gives you what compliance stands on.
Any vendor who tells you a tool makes you compliant is selling you a finding. Compliance is a property of your validated system and your processes, and that work is yours to own. What Pelcrow gives you is the foundation that work stands on: enforced controls, a complete audit trail, single-sourced content, and the evidence your quality and regulatory teams need to demonstrate all of it.
It is designed to be validated in your environment and to support the controls required by your regime, from Part 11 and GxP to S1000D and ITAR to model-risk rules, plus the AI-specific record-keeping and traceability obligations arriving on top of them.
You will deploy AI on regulated content. The choice is the foundation.
The pressure to do it is already here, and the rules governing how you document and control the AI itself are arriving whether you are ready or not. What you actually get to decide is whether you do this on a foundation that is traceable, controlled, and provable, or on one that is none of those things and hopes no one looks closely.
Pelcrow is the first kind. Docs as code, built for the audit.