Find every AI workflow
hiding in your codebase.
Then make them production-ready.
ShipSmith scans your repo, discovers your AI workflows automatically, and scores each one against 115 production readiness controls across 9 dimensions. Free for your first workflow.
No credit card required · Works with GitHub, GitLab, Bitbucket · Results in under 10 minutes
Scanning repo: github.com/acme/backend
───────────────────────────────────────
✓ Found: OpenAI GPT-4 call in /src/support/classify.ts
✓ Found: LangChain agent in /src/sales/outreach.py
✓ Found: Anthropic Claude call in /src/docs/summarizer.ts
✓ Found: LangGraph workflow in /src/onboarding/flow.py
───────────────────────────────────────
4 AI workflows discovered.
Readiness score: 3/9 dimensions passing.
→ Sign up to see control-level gaps and remediation plan
Most AI workflows aren't production-ready.
Most teams don't know which ones they have.
You're flying blind
You built an AI feature in Q3. Another team shipped one in Q4. Neither is monitored. Neither has a fallback. You find out in the incident review.
Checklists don't scale
A spreadsheet works for one workflow. At 10 workflows across 5 teams, nobody is tracking anything consistently and gaps pile up silently.
Production surprises are expensive
The cost of fixing a production AI failure is 10x the cost of catching it before launch. Most teams pay the 10x.
From codebase to production-ready in 3 steps.
Connect your repo
We scan your codebase using our AI agent. It finds every LLM call, agent, chain, and workflow — including the ones nobody documented.
Get your readiness score
Each discovered workflow is scored against 115 controls across 9 dimensions: Data, Model, Evaluation, Observability, Resilience, Security, Cost, Adoption, and Governance.
Fix what's failing
See exactly which controls are failing and why. Get remediation guidance mapped to each gap. Track progress as your team fixes them.
Scan my repo automatically
Connect GitHub/GitLab and we find every AI workflow for you.
Register a workflow manually
Describe your AI workflow and assess it immediately.
115 controls. 9 dimensions. One readiness score.
Grounded in NIST AI RMF, AWS GenAI Lens, Microsoft Responsible AI, and OWASP LLM Top 10.
Data Foundation
The AI is only as good as what it's fed.
Model & Architecture
Is the right model being used the right way?
Evaluation & QA
The dividing line between production systems and demos.
Observability & Monitoring
You cannot improve what you cannot see.
Resilience & Production Engineering
Does this survive the real world or just the demo?
Security & Compliance
The last thing builders think about. First thing buyers ask.
Cost Management
Unchecked AI costs kill promising projects.
Adoption & Change Management
70% of AI success is people and process.
AI Governance & Risk Management
The scaffolding for responsible AI at scale.
Free for your first workflow. Seriously.
- Discover all AI workflows in your repo
- Full assessment for 1 workflow
- Dimension-level readiness scores
- Top 3 failing dimensions
- 1 user
or $999/mo billed annually
- Everything in Free
- Assess all discovered workflows
- Control-level gap breakdown (all 115 controls)
- Full remediation plan per workflow
- PDF readiness report
- Remediation progress tracking
- Up to 5 users
Common questions
How does the codebase scanner work?+
Do you store my code?+
What if I don't want to connect my repo?+
What frameworks are supported?+
How is this different from a spreadsheet checklist?+
How long does the scan take?+
Your AI is already in production.
Is it ready?
Scan your repo, discover your AI workflows, and get your production readiness score — free.
Scan Your Repo — Free →No credit card required. Results in under 10 minutes.