AI governance decision support
Challenge the claim, examine the evidence, and prepare a position you can explain to your board, auditor, vendor, or legal team.
AI Control Index is a personal workspace for professionals who have to prepare and document consequential AI decisions.
Free fictional demo. No login or credit card.
Advisory support only. Human judgment remains accountable.
The moment that matters
At that point, another framework is not enough. You need to know what is supported, what remains uncertain, who owns the gap, and what decision can responsibly be taken.
See a complete exampleWhat this is
A checklist tells you whether a field was completed. A general AI assistant can give you plausible text. AI Control Index helps you turn:
The app helps prepare the work. The professional remains accountable for the decision.
Separate what has been asserted from what can actually be substantiated.
A completed control says little unless the evidence is current, relevant, and strong enough for the claim.
Use structured support without obscuring who reviews, approves, and remains accountable.
Four perspectives
An AI decision can look sensible from one discipline and remain indefensible from another. AI Control Index brings four lenses to the same problem.
These four perspectives are represented in the app by Samantha, Alice, Ravi, and Evan: clearly disclosed AI personas whose purpose is to challenge and structure the work, not to replace professional expertise. Meet the four advisors →
What you can do
AI Control Index is organised around the work governance professionals actually face. It does not start with frameworks. It starts with the question on your desk.
Vendors say things like "AI Act compliant," "fully explainable," "secure by design," "human in the loop," or "no customer data used for training." AI Control Index helps you test those claims before they become accepted risk.
Use it to
Governance claims are only as strong as the evidence behind them. AI Control Index helps map controls, evidence references, ownership, review status, missing proof, stale evidence, and validation needs.
Use it to
Governance work only creates value when it reaches the right people in the right form. AI Control Index turns analysis into decision-ready outputs for boards, auditors, vendors, procurement, legal, architecture, security, privacy, and leadership.
Use it to generate
The demo
The Demo opens with Green Canopy Ventures, a fictional organisation facing realistic AI governance pressure.
Green Canopy Ventures is not an empty sandbox. It is a complete guided case. You can explore assessed controls, evidence gaps, vendor claims, board risks, advisory prompts, decision records, and governance outputs.
Every screen explains
Demo data is fictional. It is there to teach the method, not to simulate your organisation.
Your workspace
You do not need to complete a full governance programme before the product becomes useful.
Start with one pressure moment.
Test what the vendor says before accepting the risk.
Anticipate questions, evidence gaps, and safer answers.
Create careful, evidence-aware board language.
Understand whether the use case can proceed, pause, or needs conditions.
See what is claimed, what is proven, and what still needs validation.
Identify weak wording, missing obligations, and outdated assumptions.
Free demo, no login. Pro is EUR 39 / month, VAT included. Join now at the introductory price and keep it for as long as you stay a member. Cancel anytime. See pricing →
Trust posture
Security, privacy, and hardening are not afterthoughts. They are part of the product.
AI Control Index is designed for sensitive governance work. It handles professional context, governance data, evidence references, uploaded documents, OSINT-derived intelligence, and generated work products with explicit boundaries and controls.
Available from your account at any time.
Available; removes your data from the live database.
None. First-party measurement only.
No. Not used to train any model, and not retained after the response under our Anthropic Zero-Data-Retention arrangement.
Decision-support material that requires professional review before reliance.
Not yet. No SOC 2 or ISO 27001 certification, and no published penetration test.
Who it is for
AI Control Index is for experienced professionals who must turn a complex AI-governance question into a position other people can review and act on.
Typical users
They may hold different titles, but the job is often the same: make complexity decision-ready without claiming more certainty than the evidence allows.
Use cases
The same method, applied to the moments that put a professional on the spot.
Classify the systems, map the obligations, and make your AI Act position defensible.
EU AI Act readiness →Turn a vendor's pitch into testable claims and a buy decision you can defend.
Review an AI vendor →Brief the board or an auditor on a position that holds up to questions.
Board & audit reporting →Questions
You may already use one of them, and they are useful for drafting and exploration. The relevant question is whether you also need a persistent governance model, structured decision workflows, evidence status and ownership, consistent control terminology, reusable governance artifacts, and explicit validation boundaries. AI Control Index combines those in one personal workspace, and its high-stakes outputs separate fact from assumption and flag what still needs validation.
That platform is the right place to store approved risks, controls, actions, and evidence. AI Control Index supports the work that happens before those records are ready: challenging the initial claim, finding the missing questions, qualifying the available evidence, recording conditions and dissent, and preparing the decision. It does not replace the system of record; it helps you prepare better material to put into it.
No. It is structured governance support based on published frameworks, standards, and regulations, and on the information you supply. It is not a legal opinion, audit assurance, compliance certification, or formal risk acceptance. Material conclusions should be reviewed by the appropriately qualified and authorised person. See the limitations in the Trust Center.
The three serve different purposes. The free model helps you understand what should be governed. The book explains why the controls and evidence discipline matter. The app helps you apply both to your own situation, this week: your vendors, your evidence, your documents, with full export. Use the model as a reference, read the book for depth, and use Pro when the decision, evidence, and accountability are yours.
The app is designed for organisation-sensitive governance work, but you should still minimise sensitive information and follow your organisation's policies. Your data is stored in the EU (Amsterdam region), and under our Anthropic Zero-Data-Retention arrangement your content is not retained after the response or used to train models. For highly sensitive material, redact or anonymise what is not needed for the task. Full detail in the Trust Center.
From the founder
I have spent much of my career connecting technology, people, governance and purpose. I know what it feels like to sit in a room where the technology is moving faster than the organisation, the vendor sounds more certain than the evidence justifies, regulation has not yet been translated into practice, ownership is blurred, and everyone has an opinion.
Yet one person will eventually be asked to explain the decision.
I built AI Control Index for that person. I built it because I have watched capable professionals carry serious accountability without being given enough clarity, evidence or support. Because I do not want people to feel intellectually alone when making difficult decisions.
And because I believe people deserve help before the meeting, not judgment after the failure.
Jeroen Janssen, founder of Apparens
The ecosystem
Understand the controls, evidence expectations, and responsibilities involved in governing AI.
Explore the free model →Understand why governance claims so often outpace operational evidence, and learn the discipline behind the model.
Read about the book →Apply the method to your own decisions, vendors, evidence, documents, and stakeholders.
Create your workspace →The model defines the structure. The book explains the discipline. The app helps you apply both to the decision in front of you.
Key concepts
Plain-language deep-dives into the concepts that shape how we govern AI.
Know what is supported. Know what remains uncertain. Know what must happen next.
AI Control Index by Apparens.
Not a feeling.
A defensible position.