Free assessment · 18 questions · six dimensions
18 questions, six dimensions, two minutes. Get your AI-First Readiness band and the one or two dimensions to fix first — free.
Does AI amplify a strong base — or accelerate the chaos?
Our architecture and code are documented well enough that a new engineer — or an AI agent — can navigate them safely.
Automated tests and CI would catch a bad change (human- or AI-generated) before it reaches production.
Technical debt is tracked and paid down continuously, not deferred until it blocks the roadmap.
Deliberate use of models and agentic tools, not ad hoc.
Engineers use agentic coding tools (Claude Code, Cursor, and the like) with explicit guardrails, not freelancing.
We choose the right model tier — frontier, open-weight, or local — for each job instead of defaulting to one.
We know where across build → test → deploy → operate AI actually earns its place, and where it doesn’t.
Defensibility when every state change is a potential legal event.
We control what data can and cannot be sent to external AI models, with a policy engineers actually follow.
Critical state changes are auditable — we could defend them in a compliance or legal review.
Our security/compliance posture (e.g. SOC 2) is maintained continuously, not scrambled before an audit.
Getting more capable with AI — without rotting core skills.
Engineers are getting more capable with AI, not quietly losing the fundamentals.
AI-generated code is reviewed to the same standard as human code — a person is accountable for what ships.
Adoption is intentional and shared across the team, not a few enthusiasts working in isolation.
Shipping faster without the incident rate climbing.
Our systems survive failure automatically — we don’t rely on heroics or an SRE team we don’t have.
We have observability that would tell us fast if an AI-assisted change degraded the product.
We can ship faster with AI without our incident rate going up.
A real definition of AI-first — owned by someone.
There’s a clear, written definition of what “AI-first” means for us — and where it doesn’t apply.
One person is accountable for technology strategy and AI direction, not everyone and no one.
Our AI investment maps to business outcomes, not to hype or fear of missing out.