AI maturity / a complementary perspective

Two lenses.
Better governance.

The capacity to deploy AI is one part of the picture. Assess the capacity to supervise, challenge and remain accountable for its consequences.

Start assessment What this adds

Your browser, your assessment. Runs locally. Nothing is submitted. Save or attach a draft only when you choose.

Extend the perspective

From readiness to reviewable capability.

BCG already considers policy and regulation. PALO adds an organizational, operational lens to that broader context.

External context

BCG AI Maturity Matrix

A macroeconomic view of exposure and readiness across economies. Its national index is not reproduced or rescored here.

Read the BCG report ↗

Existing PALO route

Assessment Path

Identify risk, select the governance route and organize control evidence for an AI system or use case.

Open Assessment Path ↗

This assessment

Strength, currency, gaps

Examine how well capability claims are supported, where evidence needs review and which governance actions come next.

Assess both lenses

Assessment workspace / experimental rubric

Make the evidence visible.

Set a boundary. Review 22 capability statements. Keep unknowns visible and give each improvement an accountable next step.

JavaScript is required for the local assessment. You can still read the methodology and question catalog.

Loading the assessment catalog...

New assessment. Not saved locally.

Define the scope

For later reviews, keep the same boundary and move the observation window forward.

Assessment name Unit of assessment Accountable owner Boundary and exclusions Review period starts (UTC) Review period ends (UTC)

Review capability and evidence

A declared level is a claim. Supporting evidence determines the supported level.

How to choose a level

Supporting evidence can cap a declared level. A documented record supports at most level 1; testing supports 2; repeated observation supports 3; independent review and improvement support 4. A declaration alone does not support a level.

5 domains | swipe to exploreView profile

Your assessment

Two-lens profile

Local calculation

Back to questions

Supported levels use the conservative minimum. A lens stays unknown until scope is complete and every question has current supporting evidence. Evidence type can cap a declared level.

Scope and evidence gaps

Compare with a previous review

Import a previous assessment with the same scope and catalog. No baseline is assumed.

Import previous JSON

No previous assessment loaded.

Optional PALO connection

Checking current Case File...

Adds a draft snapshot. Existing case context and assessments are preserved.

Open Governance Hub ↗

Turn gaps into work

Prioritized next actions

Critical governance gaps appear first. These are prompts for accountable review, not automatic approvals.

Method and provenance

Make a claim.
Keep its limits visible.

This PALO assessment is an original organizational rubric inspired by complementary perspectives on AI maturity. It is not BCG's scoring model.

Evidence-aware, not evidence-verified

References, reviewer names and dates are supplied by the assessor. This tool does not fetch links or verify evidence. A high level is not certification, compliance, production enforcement or proof of effectiveness.

PolicyWatcher can inform a human review of changing policies and commitments. No automatic connection or live monitoring is activated here.

Continue the review

BCG is cited as external context. No endorsement or affiliation is implied. Use the result alongside current source material and qualified human judgment.

Two lenses.Better governance.