The open, vendor-neutral AI maturity score.
Most maturity scores are produced by the vendor whose tools they score. Aggregated Intelligence Posture measures People, Infrastructure, and Regulation as independent vectors — bounded by your weakest, not flattered by your average. Self-estimate now, evidence-grade later.
Estimate your AI Posture
You’re 5-7 minutes from your estimated AI Posture and evidence checklist per vector. No cookies, no cost, no gate.
- Adaptive. Three openers set scope. Then up to five Bayesian-adaptive questions per in-scope vector. Normally fewer.
- Estimate-labeled. A point estimate per vector with full posterior on hover. Aggregate AI Posture bounded by the weakest in-scope vector.
- Evidence checklist. Per vector, the artifacts that would turn the estimate into a verified assertion.
- Client-side. Answers live in your browser tab. Aggregate analytics only. No personal identifiers.
The three vectors
AI governance is three independent problems. Each has its own evidence base, its own stakeholders, its own reference product. AI Posture aggregates them into one score so an organization knows where it actually stands.
People
How effectively humans in the organization collaborate with AI. Behavioral, not self-reported. Evidence must resolve to an artifact a third party can inspect.
Infrastructure
How ready the organization's digital systems are for AI agent interaction, from internal systems to partner integrations to public-facing surfaces.
Regulation
How completely the organization has met its AI-specific obligations across the jurisdictions that bind it.
The constraint rule
Your AI Posture is the minimum of your three vector levels. An organization Calibrating on People but Perceiving on Regulation has an AI Posture of Perceiving. This is structural, not a scoring convenience.
A Calibrating People score without a Calibrating Regulation score cannot support a defensible compliance narrative. A Calibrating Infrastructure score without Calibrating People cannot support a claim of responsible human-AI collaboration. The vectors constrain each other because the domains do.
The five-level maturity model
Each vector is scored on a shared five-level scale. The same level means the same kind of thing on every vector: the object changes, the shape of the progression does not.
| # | Level | What it means |
|---|---|---|
| 0 | N/A | Vector not in scope. N/A is a falsifiable claim — a contradicted N/A invalidates the entire assertion. |
| 1 | Perceiving | Aware the domain exists. No deliberate action yet. |
| 2 | Assessing | Inventorying current state. No deliberate practice. |
| 3 | Integrating | Deliberate practice in place. Evidence starting to accumulate. |
| 4 | Calibrating | Practice measured, tuned, defensible to outside reviewers. |
| 5 | Engineering | Systematized. Advancing the frontier, not catching up. |
Reporting format
One score, one slide. The constraining vector makes the investment case.
Aggregated Intelligence Posture: Assessing
Scope: Acme Corp, organizational
Stamped: 2026-04-20
Next review: 2026-10-20
People: Calibrating ████████░░ since 2025-09-01
Infrastructure: Integrating ██████░░░░ since 2026-02-14
Regulation: Assessing ████░░░░░░ since 2026-04-20
Constraining vector: Regulation
Recommended next action: Advance Regulation to IntegratingKeeping your assertion current
AI Posture assertions decay. Regulations change, evidence ages, scope shifts. The reporting format above shows a Next review date for a reason — an assertion without a maintenance cycle behind it is a snapshot, not a posture.
Posture Maintenance is the protocol for keeping an assertion fresh: decay tracking, regulation drift alerts in your declared scope, quarterly re-stamp cycle, and an append-only maintenance log that becomes the audit trail. The protocol itself will be published as an open spec addendum so any provider can deliver against it.
You can self-maintain, or work with a provider. PAICE.work will offer Self-Serve and Managed tiers as the first compliant implementation — in development now. Read the rationale for why maintenance is structural, not a service add-on.
For governance leaders
If you sit in risk, compliance, or audit, the whitepaper One Number You Can Defend sets out the design rationale: why minimum-of-vectors is more defensible than averaged maturity scores, how AI Posture composes with NIST AI RMF and ISO/IEC 42001, and what an evidence-grade assertion looks like in front of a board or regulator.
Read the spec
The normative definition of AI Posture lives in SPEC.md. It covers the vector set, the five-level model, the constraint rule, decay, and the relationship to NIST AI RMF, ISO/IEC 42001, and the EU AI Act.