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RegulensR

Early access

SOPs and policies that stay tied to the rules underneath them

Map every SOP and policy clause to the obligations it discharges, so when a rule changes you know which paragraph of which document is now wrong — and get a drafted redline to fix it.

Policy Automation

9 weeks to 12 days
median SOP update cycle in early access
100%
of clauses traceable to an obligation
0
SOPs of unknown currency status

An SOP library that is not linked to the obligations underneath it is a set of documents nobody can prove is current.

The problem

What this module exists to fix

01

SOPs drift from the rules

Annual review cycles mean an SOP can be wrong for eleven months before anyone looks at it. Inspectors increasingly ask when you knew and how fast you responded.

02

Nobody knows what a change breaks

When a rule amends, finding the affected clauses across 400 SOPs, policies and work instructions across a dozen sites is a manual search exercise, done badly, under time pressure.

03

Drafting is the bottleneck

Even once the gap is identified, getting text drafted, reviewed by legal, approved by a committee and attested by staff takes months.

Capabilities

What it does

Clause-to-obligation mapping

Ingest your existing SOP and policy estate and map each clause to the obligations it satisfies — automatically proposed, human confirmed.

Break detection

When an obligation changes, every dependent clause is flagged with the nature of the break: no longer sufficient, now over-restrictive, newly required, or now redundant.

AI-assisted drafting and redlining

Generate proposed replacement text in your own drafting conventions and tone, delivered as a tracked-changes redline with the source provision cited alongside every edit.

Full policy lifecycle

Draft, review, legal sign-off, committee approval, publication, staff attestation, exception management and scheduled review — with an immutable audit trail.

Hierarchy management

Model the real structure: policy, standard, SOP, work instruction, control description — and cascade a change down the hierarchy with a single review.

Coverage assurance

The inverse view: which obligations have no policy or SOP coverage at all, ranked by materiality and personal liability exposure.

How it works

Step by step

  1. 01

    Ingest

    Import the SOP and policy estate from SharePoint, Confluence, or a file share, preserving structure and version history.

  2. 02

    Map

    Clauses are matched to obligations with confidence scores and confirmed by policy owners.

  3. 03

    Monitor

    Obligation changes propagate to dependent clauses and raise a review task with the break explained.

  4. 04

    Draft

    Proposed redlines are generated, cited and routed through your existing approval path.

  5. 05

    Attest

    Published changes trigger targeted attestation to exactly the populations affected, per site.

Policy AutomationEarly access
Clause-to-obligation mapping017
Break detection034
AI-assisted drafting and redlining051
Full policy lifecycle068
A redline proposal for a plant safety SOP, with the amended obligation and source provision shown side by side.

Questions

The things people actually ask

Including the ones where the answer is a limitation.

Does the AI publish policy text on its own?
No, and it is not designed to. It produces a drafted redline with citations. Approval remains with your named policy owner and whatever committee your governance requires. The audit trail records who approved what and when.
What formats can you ingest?
Word, PDF, HTML, Confluence and SharePoint pages, and Markdown. Structure and numbering are preserved so clause references remain meaningful.
When can we get access?
Policy Automation is in early access with a limited cohort now, with general availability targeted for the second half of 2026. Existing customers get priority access.

See Policy Automation against your own footprint

A two-week scoped pilot on your real entities and jurisdictions. You compare the output against what your team found in the same period.