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Purplecop GRC · Policies

Policies from the AI Policy Builder, approved with a trail

Writing a policy set from scratch takes weeks, and keeping it approved and current takes longer. The Purplecop AI Policy Builder starts you from a template already tagged to your frameworks, and runs review, approval and exceptions in one place.

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The difference

From a blank page to an approved policy

The life of one policy on Purplecop.

Why Purplecop

What sets the AI Policy Builder apart

Built for compliance teams, not just document storage.

AI

AI Policy Builder

Security, HR, finance, AI, privacy and more, each tagged to the frameworks it supports.

Template library

Approvals with a full trail

Policies move through an eight-state lifecycle with sequential or parallel review stages, and every transition is written to an audit log.

Approval engine

Exceptions that expire

A policy exception carries a justification, risk tier, compensating control and expiry date, so a temporary waiver cannot become permanent by accident.

Policies

Policies linked to controls

Policies are linked to the controls and frameworks they satisfy, with 409 policy-to-control links in the library.

Mapping

Export in the format you need

Export to DOCX, PDF, Markdown or CSV for the board pack or the auditor.

Export
What you get

Built on one platform, with people who use it

Platform

Purplecop GRC

The whole GRC estate in one product: frameworks, controls, policies, evidence, risk and audit on one control library.

PoliciesTemplate libraryApproval workflowExceptionsControls
Services

Practitioners beside the platform

The team that runs your engagement works inside the same system, so the work they do stays with you.

Also on the platform

TPRM

Onboard, assess, score and continuously monitor every vendor in one workflow.

Third-party risk

Asset Intelligence

Asset discovery, network monitoring and the audit log in one module, so every asset’s data lives in one place.

Asset Intelligence

Phishing Simulation

Live phishing campaigns with per-user risk scores, run entirely in-house.

Human layer

LMS

Role-based security awareness training for every employee, tracked to completion.

Human layer

People

A directory of the people in scope for training, policy sign-off and access reviews.

People

RBAC

Role-based access control with granular permissions, on a least-privilege model.

Access control
Questions

What teams ask us about the AI Policy Builder

Can I start from a template instead of a blank page?

Yes. Search templates by department, set your organisation and the frameworks the policy serves, and it joins your set ready for review.

Can several people review at once?

Yes. Workflows can run review stages in parallel, for example Legal and Security together.

What happens when someone needs an exception?

They raise it with a justification, risk tier, compensating control and expiry date, and the decision is recorded.

How much faster is it?

It scales with how much you integrate: the more connectors you turn on, the more evidence is collected automatically, saving up to 70% of the time you used to spend preparing for each policy review.

See it against your own scope

We will walk the product against your scope and show you what runs on day one and what needs configuring.

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