SAIBA Audit: AI readiness as a reviewable system
AI projects often start with too many assumptions. Which systems exist? Which data can be used? Where do humans approve? What is the first workflow worth building?
SAIBA Audit was built to make that analysis concrete, shareable, and repeatable.
The challenge
Workshops and discovery notes can quickly become unstructured. That makes it hard to compare opportunities, document risk, and give the customer a clear next step.
The solution
The audit flow brings category scoring, workflow models, data and tool notes, privacy overview, and report export into the same app.
What changed
The customer gets a concrete basis for decision-making. SAIBA gets a better bridge from first conversation to scope, prototype, and implementation.
Technologies
| Technology | Usage |
|---|---|
| React + Vite | Audit interface and report views |
| Supabase | Auth, database, and storage |
| Playwright / Vitest | Regression testing and QA |
Services delivered by SAIBA
- • Workflow audit
- • Readiness scoring
- • Report design
- • Privacy and access model
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