Two minutes. Move the inputs to match your organization, see where you sit on a directional readiness scale, and get a rough sense of what kind of engagement would move you forward. The real version starts with a 30-minute conversation.
Directional. Final scope and engagement depend on your actual stack, sponsorship, and constraints.
The estimator weights three signals: how mature your AI deployment already is, how robust your governance posture is, and how aggressive your timeline is. Organization size and industry don't change the score; they shape what the recommended engagement looks like in practice.
From "just exploring" to "mature operations." The further along you are, the less foundational work an engagement needs, and the more your readiness score reflects scaling and sustainment rather than initial governance design.
From no formal program to continuously evidenced. The strongest predictor of whether AI in production will pass an audit, withstand oversight, and adapt as regulations evolve. Heaviest weight after maturity.
From 4 to 24 weeks. Tight timelines compress everything: governance design, integration, validation, training. When your score is low and your timeline is tight, we'll likely propose phasing instead of pretending the full scope fits.
Doesn't affect the score. It shapes the framework call-outs (NIST AI RMF for government, SR 11-7 for financial services, HIPAA for healthcare, multi-agent and identity controls for enterprise tech) and the audit or production posture the engagement needs to satisfy.
Send us your score, your sector, and a sentence on the constraint that worries you most. We'll send back a brief read in one business day.
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