ArcSense · AI Governance in a Box

Your staff are already using AI. Do you know how?

AI tools have arrived in most workplaces faster than the policies to govern them. Staff are making their own decisions about what's permitted, what data is safe to share, and what counts as appropriate use.

AI Governance in a Box gives you a structured, practical framework — the practice of AI governance, made accessible for organizations of any size.

Shadow AI is already here

Staff are using AI tools for drafting, research, and client work — often without any organizational guidance in place. The question isn't whether it's happening. It's whether it's governed.

Vendor AI is invisible

The tools your organization has used for years are quietly embedding AI capabilities. Data you've handled safely is now flowing into systems you didn't evaluate for that purpose.

Accountability is undefined

When an AI-assisted decision causes harm, 'the AI did it' is not an answer that holds. Without governance structures, accountability is murky until something goes wrong — and then it's too late.

What changes

Governance that enables, not just restricts

AI Governance in a Box is not a compliance checklist. It's a practical framework that gives your organization the clarity to use AI with confidence — knowing the risks, knowing the rules, and knowing who to call when something goes wrong.

This is the practice of AI governance — structured, sequenced, and designed for organizations that don't have a dedicated AI ethics team or a legal department that specializes in emerging technology.

When it's working

  • Staff know what AI tools are permitted and how outputs must be reviewed
  • Leadership can answer "how do you govern AI?" with evidence, not assurances
  • New AI tools go through a consistent evaluation before staff adoption
  • Vendors embedding AI into your existing tools are reviewed before renewal
  • An incident response plan exists before it's needed
  • Clients and funders can be given a clear account of your AI practices

~45 min

Most organizations have a working AI use case inventory and an initial acceptable use policy drafted in a single afternoon session.

Start with one

You don't need all four pillars in place before governance is useful. Begin with Awareness — it takes 30 minutes and tells you what you're actually governing.

Pre-built

Policies, risk registers, checklists, and playbooks are already structured. You customize for your context — you don't build from scratch.

The framework

Four pillars of AI governance

Each pillar builds on the previous. Start with Awareness — you can't govern what you can't see — then work through Policy, Risk, and Enablement at a pace that fits your organization.

01Awareness & Inventory

Know what you have

Most organizations are using more AI than they realize — embedded in vendor tools, adopted informally, built into platforms since purchase. This pillar helps you find it all before you try to govern it.

02Policy & Principles

Rules of the road

Without clear rules, staff make policy decisions alone — and make different calls. This pillar gives you the guiding principles and practical policies that create consistency across the organization.

03Risk & Governance

Who decides what

Policies alone don't prevent harm — accountability structures do. This pillar establishes who owns AI decisions, how risks are tracked, and what your organization does when something goes wrong.

04Enablement

Use AI well

Governance that restricts without enabling creates pressure to work around the rules. This pillar builds staff literacy, provides a decision framework for new use cases, and offers playbooks for common scenarios.

Compliance Officer Lens

// Vetting a third-party vendor

User: "Marketing wants to use Jasper AI. Register the tool and let's check its safety parameters."

AI Companion: [Calling register_ai_tool]
✓ Registered Jasper AI. ID: aigov_t_58f9d0
"I checked our Acceptable Use Policy; content generators must have a 'Human-in-the-loop' review step. I've registered the tool (review status: Not reviewed) and will draft a vendor assessment."

AI Companion · AI Governance Lens

Keep pace with shadow AI via conversational compliance

Employees adopt AI tools faster than compliance committees can draft policies. Connect Claude to your ArcOS instance to inventory, evaluate, and control AI adoption directly from your chat client.

Ensure that AI tools are adopted safely and ethically:

  • list_ai_use_casesTrack which departments are using what tools, and flag discrepancies instantly.
  • create_ai_vendor_assessmentSubmit SOC2 audits and security checklist questions to the database via simple conversations.
  • set_ai_risk_statusAcknowledge, log, and transition AI risks as mitigation steps are finalized.

Get started

Govern your AI use before it governs you

Set up your organization in minutes. The framework is ready — your context and decisions go on top of it.

Start with AI Governance
Advisory Sprint

AI Governance & Risk Sprint

Need hands-on help? Get a complete software registry audit, AUP policy draft, and board memo completed in 3 weeks with our expert consultants.

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