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.

What security and operations teams are really managing

Controls only work when employees know the operating rule — and when AI use is not invisible.

Security often owns the consequences of unclear communication: risky AI use, inconsistent acceptable-use behavior, weak incident readiness, and evidence gaps in customer reviews.

Common challenge

Expectations live in too many places

Acceptable-use and security guidance is copied across wikis, tickets, and PDFs, so nobody is sure what is current.

Common challenge

Workplace AI arrives without a purchase order

Chatbots and copilots show up in the browser. There is no ticket to catch them, so the inventory stays incomplete.

Common challenge

Evidence is reconstructed late

Audits and customer reviews trigger a scramble for who signed, which version was live, and whether any AI rule was actually enforced.

Before a platform

Treat security policies as control communication, not background documentation.

Map each policy to the control it supports, the people it affects, and the proof you will need. For AI, start a living list of tools you already know about.

Map policy to control intent

For each security policy, write the objective, affected teams, required behavior, and how exceptions are owned.

Prioritize high-risk groups

Start with people handling customer data, finance, source code, production access, or AI tools before broadening rollout.

Inventory known AI use

List the AI tools already in play, who uses them, and what data they may touch — before you try to enforce a rule.

Control readiness map

Guardrails

Coverage

Review proof

Treat security policies as control communication, not background documentation.

When the manual approach starts breaking

You usually need a system once control evidence becomes customer-facing.

Manual communication gets fragile once customer security reviews or incident follow-up depend on proving who received the current rule — and which AI tools are approved.

  • Security teams rolling out policy-driven control changes
  • Operations leaders who need a current acceptable-use board
  • Companies facing customer reviews that now ask about AI use

Publish the rule and see the AI tools in DocsOrb.

Use boards and acknowledgment campaigns for control communication. Use AI Radar (Browser Shield is the live discovery source), Inventory for approved / restricted / blocked, and guardrails in the browser and over MCP. Integrations can also feed Radar; MDM-style connectors are planned.

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:

Current security boards employees can find

Visibility into workplace AI tools already in use

Acknowledgment and guardrail records for reviews

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.

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.

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.

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.