Your brand on the report. Our graph underneath it.
The white-label channel for risk advisers: ship AI-governance audits under your own name, powered by a regulatory knowledge graph and two assessment frameworks you would never build client by client. The engine behind other people's AI-assurance practices.
Build an AI-assurance line without building the graph
Your clients are already asking where you stand on their AI governance. The instinct is to answer with a questionnaire — but the questionnaire was never the hard part. Anyone can write questions. The barrier is the evidence base a supervisor will actually accept: a regulatory knowledge graph of 14,000+ provisions, drawn from 13,700+ regulations across eight jurisdictions, with 250,000+ connections between them — and kept current as the rules move.
That is not something you spin up per client, and it is not something a consulting practice can maintain as a side-project between engagements. It is a standing piece of infrastructure with its own upkeep. So instead of building it, you license it. AIssure is the Intel Inside for AI-governance audits — the engine you put your own badge on, so your firm can stand up an assurance line in weeks rather than years.
Every finding your consultants produce traces back to the primary regulatory provision it rests on — the difference between "the AI says" and "the regulation says." Your client sees your brand and a cited, defensible opinion; you never have to explain that a number came from training-data hearsay.
What you license
One licence gives your practice the whole engine — the platform, both frameworks, and the moat underneath them. You brand the output; we keep the machinery current.
| What you license | What it gives your practice |
|---|---|
| The platform | Self-serve or run-for-you delivery, white-labelled to your firm — the same board-ready pack every engagement, branded as yours. |
| The two frameworks | The 96-question Maturity Assessment across eight domains, and the 275-question ISO Standards Deep Dive spanning ISO/IEC 42001, 23894 and 38507. |
| The citation trail | Every finding addressable back to the source clause it was tested against — fabricated citations stripped before they reach the page. |
| Reproducibility | Findings rendered through a pinned, deterministic model, so a citation-grade opinion can be re-performed and defended at a later inspection. |
| Quarterly-versioned regulation | 14,000+ provisions across eight jurisdictions — UK, EU, US, Singapore, Hong Kong, Australia, South Africa and China — kept current for you, with no graph to maintain. |
Certification-ready deliverables, your badge on them
Your clients receive an evidence base and remediation plan an ISO/IEC 42001 certification audit expects — under your brand. Accredited certification is still issued by accredited certification bodies, not by the assessment. The deliverable is deliberately certification-ready, never "certified" — a distinction your client's own auditors will thank you for keeping straight.
Independence still holds
White-labelling does not compromise the independence assurance rests on — it preserves it. Your firm runs the assessment for your client; AIssure is the tooling and the graph, not the operator of your client's models. The principle underneath is the one every assurance regime turns on: you cannot audit your own work. The assessor must sit outside the systems being assessed.
In this channel that separation holds cleanly. Your consultants are independent of your client's AI systems — they did not build or run them. AIssure, in turn, never operates, monitors or supplies the systems it helps assess; it only provides the graph and the frameworks. Nobody in the chain is grading their own homework, which is exactly why the opinion is worth putting a brand behind.
Who it's for
Mid-tier risk-advisory firms scaling an AI-governance practice are the natural fit. You have the client relationships and the assurance discipline; what you lack is the regulatory-graph engineering team it would take to underwrite the citations. Licensing AIssure lets you launch a credible, defensible AI-audit line without standing up that function — and without betting the practice on keeping a knowledge graph current across eight jurisdictions.
Big Four and large consulting firms come to the same conclusion from the other direction. They could build the graph, but the reproducibility bar and the quarterly upkeep are a poor use of partner time when a productised engine already exists. For them AIssure is a white-label customer relationship: the graph, the frameworks and the reproducible rendering, delivered under their own brand and their own methodology wrapper.
Related
How an engagement runs
Five weeks, three delivery models, one board pack.
→ The frameworksMaturity & ISO Deep Dive
96 questions to a baseline; 275 to certification-ready.
→ The moatThe regulatory knowledge graph
The engine you license — built, versioned and verified.
→ The categoryThe productised audit
What the assessment is, and what it delivers.
→The white-label channel — the questions we get.
What risk advisers, consulting firms and their procurement teams ask before putting their brand on the report.
Can we run AIssure under our own brand?
Yes — that is the white-label channel. The board pack, the maturity score, the heatmap and the remediation plan all carry your firm's brand. What sits underneath is ours: the regulatory knowledge graph, the two assessment frameworks, the citation trail and the reproducible rendering. You ship the report; we are the engine.
Do our consultants run it, or does poview.ai?
Your consultants run the assessment for your client, and you own the engagement and the relationship. AIssure is the tooling and the regulatory knowledge graph, not the operator of your client's models — so the independence that assurance depends on is preserved, not diluted. In the run-for-you model our team can execute the assessment on your behalf; in self-serve, your people drive it end to end.
How is the regulation kept current?
The knowledge graph is versioned quarterly. It holds 14,000+ provisions drawn from 13,700+ regulations across eight jurisdictions, with 250,000+ connections between them, and your practice inherits each update automatically. You are not maintaining a regulatory-graph engineering function on the side — that work is ours.
What does an engagement look like for our client?
Most firms start with the AI Governance Maturity Assessment — 96 questions across eight domains, scored 0–5 — for a defensible baseline in about five weeks. Those heading for accreditation run the ISO Standards Deep Dive: 275 questions across ISO/IEC 42001, 23894 and 38507. A first pilot is typically scoped at eight weeks end to end, including reporting.
Put your brand on a defensible audit.
Walk us through the AI-governance work your clients are already asking for. We'll show you the platform under white label, and scope how an assurance line would run under your name.