04 SAAS Regulated sectors High

SaaS B2B — Multi-Tenant Platform with CI/CD

Multi-tenant SaaS platform with automated end-to-end CI/CD pipeline using all 4 tools.

◻ intake ★★★

△ architect ★★★

◇ vigil ★★★

⬡ licit ★★★

Architecture diagram

Context

B2B multi-tenant SaaS platform with Next.js, FastAPI, PostgreSQL multi-schema, and Celery. European enterprise clients require AI governance evidence before signing contracts.

Flow with 4 tools

◻ Phase 01 — intake

Sprint normalization

Normalizes Linear tickets and Notion RFCs into executable specs.

◻ intake

intake init "Sprint 42 — Advanced Reporting" \
  --source linear://team-platform/sprint-42 \
  --source notion://arch/reporting-rfc \
  --format architect

△ Phase 02 — architect

Automated implementation

Loop with integrated test, vigil, and licit quality gates.

△ architect

architect loop "Implement per spec" \
  --check "pytest tests/ -q" \
  --check "vigil scan src/ --severity high" \
  --check "licit verify --min-score 70" \
  --max-iterations 25

⬡ Phase 03 — licit

Compliance for EU clients

Generates AI governance documentation the sales team needs for RFPs.

⬡ licit

licit trace
licit changelog
licit report --format json --output compliance/sprint-42.json
licit annex-iv
licit gaps --format markdown > compliance/gaps-sprint-42.md

Why licit is critical here

European enterprise clients require AI governance evidence before signing contracts. licit automatically generates the documentation the sales team needs: what % of code is AI-generated, which regulatory frameworks are met.