Turn your AI policy into guardrails that run where AI is used.

Define guardrails once, link them to policies and frameworks, and enforce them in the browser with Browser Shield, in AI assistants over MCP, and in your own apps with the SDK or REST API.

What users type before it reaches the model

Tool calls and tool responses in agent workflows

What the model sends back

Turn your AI policy into guardrails that run where AI is used. screenshot

AI is already in daily work. A PDF does not govern it.

Policy and tools are disconnected

The usage policy says what is allowed, but nothing connects those rules to the sites and assistants people actually use.

Data leaves before anyone notices

Customer data, personal data, and secrets get pasted into prompts long before a quarterly review.

No enforcement evidence

When a customer or auditor asks how the AI policy is enforced, a screenshot of a document is not an answer.

AI is already in daily work. A PDF does not govern it. screenshot

One set of guardrails, enforced on every surface.

Start from a preset

Begin with DocsOrb Baseline, EU AI Act, or ISO 42001 presets, then link each guardrail to the policies, tools, and frameworks it enforces.

Browser, MCP, SDK, and API

Browser Shield enforces rules on AI websites. The DocsOrb MCP server covers Cursor, Claude, VS Code, and other assistants. The SDK and REST API cover your own apps.

AI Analytics for the trail

Every evaluation is logged by outcome, guardrail, user, tool, and risk type, and exports as CSV.

One set of guardrails, enforced on every surface. screenshot

Especially relevant once AI use becomes normal work.

Teams handling customer, legal, financial, or regulated data

A practical use case where this workflow gives teams cleaner ownership and proof.

Companies that need enforcement evidence, not just a policy

A practical use case where this workflow gives teams cleaner ownership and proof.

Engineering teams shipping AI features and agents

A practical use case where this workflow gives teams cleaner ownership and proof.

Especially relevant once AI use becomes normal work. screenshot

Getting started

Get started in three practical steps.

Bring the workflow in

Start with your current policies, templates, owners, or approval process.

Configure the rollout

Define who needs to review, learn, acknowledge, or act on each update.

Track proof over time

Keep versions, training, acknowledgments, and evidence connected in one place.

Made in Europe

EU Data Sovereignty, built in.

EU-hosting

All databases and servers stay in Germany only. AI processing uses an EU-frontier LLM.

GDPR compliant

Support clear records for policies, training, and acknowledgments.

Made in Germany

Built in Europe for teams that care about control and trust.

FAQs

Common questions about this workflow.

Can DocsOrb work with our existing policies?

Yes. DocsOrb is designed to help teams organize existing documents, improve ownership, and connect rollout activity around them.

Do we need a compliance team to use it?

No. It is useful for founders, HR, legal, operations, and security teams that need structured policy workflows without heavyweight tooling.

How does this connect to training and acknowledgments?

Policy content can feed into employee learning, comprehension checks, acknowledgment tracking, and evidence records.

Other features in DocsOrb

Policy Management

Boards, versions, and publish.

Employee Portal

Assigned boards and Allowed AI.

Training

Flashcards, quizzes, certificates.

Acknowledgments

Version-locked campaign sign-off.

AI Inventory

Radar, use cases, risk, and owners.

Developers

SDK, REST API, and MCP server.

Regulations

EU AI Act and ISO 42001 controls.