Turn your AI policy from a document into something you can enforce.

Connect a published usage policy to Inventory statuses, Browser Shield and MCP guardrails, employee acknowledgments, and evaluation events you can export.

Why AI policies fail in practice

Most AI policies are written once, shared once, and never enforced.

Companies publish an AI usage policy, collect a few signatures, and hope behavior follows. Without an inventory, guardrails, and records, the policy exists only on paper.

Common challenge

The policy and the tools are disconnected

The policy says what employees may do with AI, but nothing connects those rules to the sites and clients people actually use.

Common challenge

No live allowed list

Employees improvise because there is no current list of approved, restricted, or blocked tools in the place they already open policies.

Common challenge

Zero evidence of enforcement

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

Before a platform

Write rules you can enforce, then close the loop.

Name the approved tools, define what data may go where, and decide what evidence you will keep before you buy another system.

Keep a living list of approved AI tools

Maintain one source of truth for approved, restricted, or blocked — and put it where employees look.

Translate clauses into concrete rules

“No customer data in public chatbots” can be enforced. “Use AI responsibly” cannot.

Decide your evidence standard

Agree what you will show: acknowledgments, inventory decisions, and enforcement or evaluation events.

Policy-to-enforcement map

Policy

Guardrails

Evidence

Write rules you can enforce, then close the loop.

When you need a system

You need enforcement once AI use outpaces the policy.

A written policy works while the team is small. It breaks when every team adopts its own tools and customers ask how you control them.

  • Teams whose AI policy is not connected to any control
  • Companies facing customer security reviews or AI Act-style questions
  • Compliance owners who need enforcement records without an enterprise GRC suite

DocsOrb links the published policy to inventory and guardrails.

Author the policy, publish it to the portal, set Inventory statuses employees see as Allowed AI, enforce guardrails in the browser and over MCP, collect acknowledgments, and export AI Analytics events when someone asks for proof.

DocsOrb

DocsOrb brings the policy, rollout, training, acknowledgment, and evidence work into one system once the manual process becomes too expensive to maintain.

Key features include:

Policies linked to enforced guardrails

An Allowed AI list employees can check in the portal

Evaluation events, not only a signed PDF

Other solution guides

Policy boards, review, and records legal and compliance can retrieve.

Move policy work out of inboxes and shared drives into boards with a review path, versioned publish, acknowledgment campaigns, and exportable records.

Help HR roll out assigned boards, training, and sign-off without a spreadsheet chase.

Give people a branded portal for the boards assigned to them or their group, attach flashcards and a quiz to each policy, and collect version-locked acknowledgments with a campaign.

Keep security expectations published — and workplace AI visible.

Publish acceptable-use and security boards, collect acknowledgments, and use AI Radar, Inventory, and Browser Shield so control communication is not the only thing you can prove.

Turn EU AI Act expectations into inventory, literacy, and enforceable rules.

DocsOrb helps you list workplace AI, publish an usage policy people can acknowledge, run literacy-style training, and enforce guardrails in the browser and over MCP. This is operational support, not legal advice or a conformity assessment.

Make US AI accountability operational: policy, inventory, and proof.

DocsOrb helps you publish AI usage rules, keep an approved-tool inventory, collect acknowledgments, and record guardrail events. It is not Colorado-specific legal software and not a substitute for counsel.

Support ISO/IEC 42001-style readiness with a working operating loop.

DocsOrb helps you keep AI policy, inventory, training, acknowledgments, and versioned records in one place. That supports management-system habits. It is not a certified ISO/IEC 42001 ISMS and not an audit.

Find workplace AI employees already use — then give each tool a decision.

AI Radar turns Browser Shield discoveries into Inventory items you approve, restrict, or block. Employees see the outcome as Allowed AI. Integrations can also feed Radar; MDM-style sources are planned.

AI governance sized for a small or mid-sized company, not a Fortune 500.

Give the person who also owns legal, HR, or operations a connected loop: policy boards, inventory, Browser Shield and MCP guardrails, acknowledgments, and exportable records — without an enterprise GRC programme.