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BriX Consulting
THE AI-READINESS ASSESSMENT

Measure your AI advantage before you spend against it.

Your AI is only as ready as your people.

AI amplifies how your people already work, discipline or disorder. Evolve the practices that make it amplify the best, not the chaos.

Your teams are vibe coding and shipping with agentic tools faster than your practices can keep up. In about ten minutes, you see the gap, and how to close it.

Open method, open bibliography, grounded in 52 unicorns and Stanford's 120,000 developers. See the research on GitHub

Get the org-level assessmentOr try the free self-check first

The org-level assessment starts with a first conversation, no commitment. The free self-check is ~10 minutes, no preparation.

The four dimensions of AI readiness
The road we walk with you

One lens. A deeper reading at every step.

The same four dimensions measure your AI-readiness at every rung. What changes is how deep the reading goes, and how certain. Your team runs a free self-check in ten minutes. You bring us in for a verified read across your whole organization. Then take it audit-grade, with the evidence trail the EU AI Act asks for. Same lens; a truer reading each step.

.devFREE

Start with your team

pairs with nWave OSS · free, open source
A glimpseyour team · self-reported · ~10 min

Twenty-five years of behavioral science and 200+ key behavioral indicators, compressed into four dimensions of five macro-indicators. A straightforward check of how your tech team actually works, and whether that way of working is ready to accelerate with AI, not buckle under it.

Try the free self-check(opens in a new tab)

Want us to read it with you? Talk to us directly →

A note for leadership

.dev speaks engineering: test-first, mob programming, acceptance criteria, defect ownership. If your team speaks it fluently, you are ahead of most organizations. If it reads foreign, that is a finding about the organization's practices, not the people, and the cue to bring in the experts who live this daily. That is exactly what we read at the org level with .biz.

.bizThe land · bring us in

The org-level assessment

pairs with nWave SW Factory · a hand on the helm
The real readyour whole org · verified, not self-reported

A self-check shows what your team believes about itself. This shows what your organization actually does, read across every team and verified, not self-scored, the number you can take to a board, read by the tech advisors the investors behind 52 unicorns rely on. Then you keep the hand that installs the practices to close the gap: you bring us in, we hold the helm on the AI-adoption journey until you hold it yourselves.

Scoped per engagement. It starts with a first conversation, no commitment.

Bring us in to hold the helm

then, to widen and govern it: POD / SW Factory → .pro

.pro

Take it audit-grade.

pairs with nWave Enterprise · the expand ceiling
Audit-gradelegal coverage · the evidence trail

The deepest reading, run with an EU AI Act compliance lawyer: the same assessment carried to audit-grade, with legal coverage and the evidence trail the EU AI Act asks for. You route in through .biz first, then widen to .pro as the stakes and the regulation demand.

Custom by company size. Pricing happens through human scoping; request the scoping guide.

Request the scoping guide
An example reading

This is what the org-level assessment hands you: one number that sizes the risk.

A single, honest number: how far your AI adoption has run ahead of the practices that make it pay. Banded so the size of the risk is legible at a glance.

Illustrative sample. Your organization's real gap renders when we run the assessment with your teams.

The land

Bring us in to hold the helm on your AI-adoption journey.

See your organization's AI-readiness at the org level, and get the hand that installs the practices to close the gap. It starts with a first conversation, no commitment.

Under the EU AI Act, every provider and deployer of AI systems must take measures to support the AI literacy of its staff (Article 4, applicable since 2 February 2025, amended by Regulation (EU) 2026/1744 in July 2026). The Act sets no EU fine for Article 4; Member States lay down the penalties, and national market surveillance authorities enforce it from 2 August 2026. The Act's fines for deployers of high-risk AI systems (Article 26) reach €15 million or 3% of worldwide annual turnover; only prohibited AI practices (Article 5) reach €35 million or 7%. The org-level assessment shows you where your people stand today; taking it audit-grade is what documents your measures against the Act.
Get the org-level assessment

A first conversation, no commitment. Scoped per engagement.

AI readiness, in plain terms

Frequently asked

What is an AI readiness assessment?
An AI readiness assessment measures whether an organization's people and engineering practices can turn AI adoption into real advantage, rather than just faster output. BriX measures it across four dimensions, Focus & Cognitive Capacity, Technical Validation & Engineering Discipline, Product & Backlog Clarity, and Customer Feedback & Learning Speed, and reports THE GAP between how much AI a team has adopted and how ready it is to use it well.
How do you measure AI readiness?
BriX measures AI readiness as THE GAP: the distance between your AI adoption rate and your AI readiness rate, scored across four dimensions. A wide gap means teams are shipping with AI faster than their practices can validate the output; a narrow gap means adoption and engineering discipline are in step. The free self-check returns your gap and four-dimension scores in about ten minutes, with no email wall.
Is vibe coding risky?
Vibe coding, shipping AI-generated code on intuition without disciplined validation, is fast, and the risk is not the tool. It is the gap between how quickly teams adopt AI and how well the organization validates what that AI produces. An AI readiness assessment makes that gap visible so it can be closed, which is how fast-moving teams stay fast without shipping problems they cannot see.
What are the four dimensions of AI readiness?
BriX scores AI readiness across four dimensions: Focus & Cognitive Capacity (holding attention on the right work), Technical Validation & Engineering Discipline (proving AI-generated work rather than assuming it), Product & Backlog Clarity (aiming the work at the right outcomes), and Customer Feedback & Learning Speed (how fast the team learns from real use). Together they produce THE GAP between AI adoption and readiness.
What does the EU AI Act require for AI literacy?
Article 4 of the EU AI Act requires every provider and deployer of AI systems, not only those using high-risk systems, to take measures that support the AI literacy of their staff. It has applied since 2 February 2025 and was amended by Regulation (EU) 2026/1744 in July 2026 to remove any requirement to guarantee a specific level of literacy. The Act sets no dedicated fine for Article 4; Member States lay down the penalties, which must be proportionate, and national market surveillance authorities enforce it from 2 August 2026. The Act's highest fines, up to EUR 35 million or 7% of worldwide annual turnover, apply only to prohibited AI practices; deployers of high-risk AI systems (Article 26) face fines of up to EUR 15 million or 3%. The org-level assessment shows where your people stand today; the audit-grade assessment documents the measures taken against the Act.