Ariva AI
Free AI Governance Score

Your team is already
using AI.
The question is
who’s in control.

Most enterprises discover their AI governance gaps after an incident — a wrong decision acted on, a hallucination nobody caught, a tool nobody approved but everyone uses. We help you see those gaps before they become problems.

10
Questions
3
Output Areas
0
Cost · Commitment
See what we measure →

Questions your leadership team should be able to answer

“Do you have a complete list of every AI tool your team uses — approved or not?”
Most organisations can name the approved ones. The shadow tools are the exposure.
“If an AI made a wrong decision today, would you know about it — and how quickly?”
Detection speed is the difference between a recoverable incident and a business problem.
“Who in your organisation owns accountability when an AI decision causes an error?”
In most companies, this question produces silence or three different answers.
“Can you halt or override an AI process in real time if something goes wrong?”
A control layer isn’t optional. It’s the difference between governance and theatre.
What We Measure

Three dimensions.
Ten questions.
One honest score.

AI governance isn’t a single problem — it’s three interconnected ones. Visibility without control is incomplete. Control without accountability is theatre. All three have to work together.

Visibility
Can you see all the AI decisions being made across your organisation — in real time? Visibility means knowing which tools are in use, what outputs they're producing, and where those outputs feed into operations.
Tool InventoryDecision LoggingShadow AI Detection
Governance
Do you have policies, ownership, and accountability structures around AI use? Governance means there are rules, someone enforces them, and deviations are caught — not discovered retrospectively.
Policy CoverageOwnership ClarityApproval Workflows
Control
Can you intervene when something goes wrong? Control means having the operational levers to pause, override, or redirect AI decisions in real time — before a wrong output becomes a business consequence.
Override CapabilityIncident ResponseError Escalation
Why It Matters Now

AI adoption is
outpacing control.

Across every enterprise we work with, the pattern is the same: AI adoption is happening bottom-up, faster than governance is being built top-down. Teams are using tools that weren’t approved. Decisions are being made by models nobody vetted. Outputs are feeding into operations with no audit trail.

This isn’t a technology problem. It’s an operational visibility problem. And it’s solvable — but only if you can first see exactly where your gaps are.

01
The Invisible Tool Problem
The AI tools leadership approved represent a fraction of what's actually in use. Every unapproved tool is an unvetted decision-maker operating inside your business.
02
The Accountability Vacuum
When an AI-assisted decision causes a problem, nobody knows whose responsibility it is. That vacuum is where liability and reputational risk quietly accumulates.
03
The Speed Trap
AI moves fast. Governance built after the fact is always playing catch-up. The companies that get ahead of this now will have a structural advantage when regulation catches up.
What You Receive

Three outputs.
Immediately actionable.

The score isn’t a vanity number. Every output is designed to be shared with your leadership team or board — and to give you a clear starting point for what to fix first.

Your AI Governance Score
  • A 0–100 composite score across Visibility, Governance, and Control
  • Dimension-level breakdown so you know exactly where the gaps are
  • A plain-language band — Exposed, Developing, or Governed
  • Benchmarked against typical enterprise AI governance postures
Your Visibility Gaps
  • The specific areas where AI decisions are operating without oversight
  • Where shadow AI is most likely present based on your answers
  • Which operational processes carry the highest unmonitored AI exposure
  • A prioritised list of what to make visible first
Control Recommendations
  • Three specific actions based on your highest-risk dimension
  • What a control layer should cover for your type of operation
  • Where Arbiter fits — and whether it's relevant to your situation
  • Optional: a 30-minute call to walk through the findings together
Take the Assessment

Ten questions.
Your governance
score in minutes.

No account. No sales call. No preamble. Just ten honest questions about how your organisation currently manages AI — and an immediate, structured view of where you stand.

  • Covers Visibility, Governance, and Control across your AI footprint
  • Designed for CIOs, CTOs, COOs, and Risk & Compliance leaders
  • Results are yours to share with your board or leadership team
  • Takes under 10 minutes. No preparation needed.
Sample Question — Visibility
Does your organisation have a complete, current inventory of every AI tool in active use across all teams?
No — we've never formally mapped this
Partially — we know the approved tools
Yes — maintained and reviewed regularly
Yes, with active monitoring for new tools
Field Notes

What we’re seeing
in the field.

AI Governance
The AI tools your team uses without telling IT aren't just a security problem. They're an operational liability that compounds every quarter you don't address it.
6 min read
Control Layer
Why most enterprise AI governance policies fail before they're six months old — and what the ones that stick have in common.
5 min read
Visibility
Shadow AI is the new shadow IT. The detection and response playbook is different — and most organisations don't have one yet.
4 min read
Start With Clarity

Ten minutes to know
exactly where your
AI governance stands.

The organisations that understand their AI exposure today are the ones with options tomorrow. The assessment is free. The clarity is immediate. What you do with it is up to you.

Free · No account required · Results delivered instantly

Also available: Free Operational Resilience Score →