One score. Full confidence.
Readiness answers the question every AI team asks before shipping: Can I ship this?
Get your AI assessment- →A defensible, reviewable position based on known failure surfaces
- →Evidence you can show stakeholders, auditors, and leadership
- →A systematic enumeration of assumptions and unknowns
- →Confidence ranges that let you make informed decisions
- ✗A guarantee that your AI won't fail
- ✗A certification or regulatory sign-off
- ✗A binary pass/fail badge
- ✗A replacement for human judgment on shipping decisions
We give you the evidence and analysis to make the shipping call yourself, and defend it to anyone who asks.
Ship Confidence Score
A single number that aggregates pass/fail across the ways your AI can break. It tells you whether your system is ready for production, or what's holding it back.
- →Directional, not absolute. Confidence ranges, not guarantees
- →Updates on every PR. See how changes affect readiness
- →Drill down into any failure. Understand exactly what's broken
The 10 Readiness Questions
Organized into three buckets that help you understand why each question matters, not just what it checks.
A "bad but common" failure
The model passes all functional tests but fails under language switching. A user asks in English, gets a response, then asks the same question in Spanish and gets a contradictory answer.
This is why naive test suites fail. They test happy paths, not real-world variance.
Behavior
/Does it do the right thing?These questions assess whether your AI produces correct, intended outcomes.
Intent
Does it do the right thing?
Validates that the AI produces the intended outcome for the given input. Not just technically correct, actually useful.
User asks for a refund status, AI responds with shipping info instead.
Grounding
Is it truthful & grounded?
Checks whether responses are based on real data and context, not invented information.
AI confidently cites a policy that doesn't exist in your knowledge base.
Hallucination
Did it hallucinate?
Detects when the AI fabricates facts, numbers, or entities that have no basis in reality.
AI invents a product SKU or makes up a customer's order history.
Rules
Did it follow our rules?
Verifies compliance with your operator-defined constraints and business logic.
AI offers a 50% discount when max allowed is 10%.
Resilience
/What happens when it's stressed?These questions assess how your AI handles edge cases and adversarial inputs.
Consistency
Is it consistent?
Checks whether the AI gives the same answer to semantically identical questions.
Same question phrased differently yields contradictory responses.
Robustness
Is it robust to manipulation?
Tests resistance to prompt injection, jailbreaks, and adversarial inputs.
User tricks AI into ignoring system instructions via clever prompting.
Quality
Is it good enough?
Measures output quality against your standards for tone, format, and helpfulness.
Response is technically accurate but unhelpful or confusingly worded.
Containment
/How bad is failure?These questions assess the blast radius when things go wrong.
Safety
Did it avoid harm?
Ensures the AI doesn't produce harmful, dangerous, or inappropriate content.
AI provides medical advice it's not qualified to give.
Brand Safety
Is it brand-safe?
Ensures outputs align with your brand voice and won't cause reputational damage.
AI uses inappropriate language or takes political stances.
Schema
Is the output structurally valid?
Validates that structured outputs match expected schemas (JSON, API responses, etc.).
AI returns malformed JSON that breaks downstream systems.
Block bad merges automatically
Readiness scores integrate directly into your PR workflow. When a change degrades AI safety or quality, the merge is blocked with clear, actionable feedback.
- →PR comments show exactly what regressed
- →CI gates enforce minimum readiness thresholds
- →Changes that improve readiness get highlighted
See your Readiness score
Find out where your AI breaks. Fix it before your users do.