Production-ready AI,
proven — not assumed.
The good teams already have evals and guardrails where it counts. The hard part is holding every workflow to the same bar as AI spreads across the codebase — and showing, objectively, that each one is ready to ship.
No credit card required · No sales call · Free for your first workflow
The gap isn't capability. It's consistency.
The first AI feature your team shipped got real care — evals, monitoring, a fallback path. The tenth, built by someone else under deadline, often doesn't. And no one has a full map of every AI workflow running in production.
ShipSmith closes that gap. It discovers every AI workflow in your codebase and checks all of them against one bar — so quality doesn't depend on who wrote which workflow, or how much time they had.
What "the same bar" actually means.
Nine dimensions, 115+ controls, grounded in NIST AI RMF, AWS GenAI Lens, Microsoft Responsible AI, and OWASP LLM Top 10. Five of the dimensions that matter most for shipping:
Data Foundation
The AI is only as good as what it's fed.
Automated, monitored data pipelines with schema validation at ingestion, incremental updates, and alerting on missing or malformed records — the substrate every workflow silently depends on.
Evaluation & QA
The dividing line between a production system and a demo.
A representative eval dataset with human-reviewed expected outputs, run before and after every change, gating deployment — plus adversarial cases, regression comparison, and confidence calibration.
Observability & Monitoring
You cannot improve what you cannot see.
Every LLM call logged with the rendered prompt, output, latency, tokens and cost. Dashboards and alerting that surface drift, cost spikes and quality regressions before users do.
Resilience & Production Engineering
Does this survive the real world, or just the demo?
Retry with backoff, circuit breakers, and defined fallback behaviour when a provider returns a 429, a 503, or a timeout — so a degraded API degrades the feature gracefully instead of breaking it.
Cost Management
Unchecked AI costs kill promising projects.
Per-request and per-workflow cost tracking, budget alerts that fire before the invoice arrives, and hard spend limits — so a longer input or a looping agent can't quietly 10x your bill.
What you get back.
A readiness grade per workflow
Every discovered workflow scored across all 9 dimensions — a clear, comparable grade, not a vibe.
Your weakest areas
The dimensions and controls dragging each workflow down, ranked so you know where the risk actually is.
A prioritised fix list
Exactly which controls are failing, why they matter in plain English, and how to fix them — tracked as your team closes the gaps.
And ShipSmith doesn't stop at the list — you get the guidance to close each gap, and your team builds the muscle to keep every future workflow at the same bar.
Stay ready as the ground keeps shifting.
Two things keep moving: your own workflows evolve as your product does, and the AI landscape shifts fast — new models, new failure modes, new attack surfaces, new controls. ShipSmith re-checks your workflows against the latest bar, not last quarter's — so readiness keeps pace without you chasing it by hand.
Hold every AI workflow to the same bar.
Start with one — free.
Scan your repo, discover your AI workflows, and get your production readiness score across all 9 dimensions.
Scan Your Repo — Free →No credit card required. Most scans finish in minutes — we email your report either way.