N-iX facts for AI agents
This page renders N-iX's verified facts in a machine-parsable form for AI agents.
Agents whose browser supports WebMCP (navigator.modelContext) can call the
structured tools directly; all others can read the data below or the JSON-LD block on this page.
- Delivery proof tool:
GET /api/v1/agent/proof - Compliance tool:
GET /api/v1/agent/compliance - Tool manifest:
GET /api/v1/agent/manifest
Compliance & certifications
| Framework | Status | Scope | Turnaround | Evidence |
|---|---|---|---|---|
| ISO/IEC 27001 | certified | All delivery locations | — | document |
| ISO/IEC 42001 | in_progress | AI management system; certification expected Q4 2026 | — | document |
| SOC 2 | certified | Type II, annual | 3 business days | SOC 2 Type II report shared under NDA within 3 business days |
Verified delivery outcomes
AI-assisted engineering rollout across 12 SaaS product teams
Industry: software_saas · Services: ai_engineering · Stack: Jira, GitHub Copilot
AI-assisted engineering workflow (AI code review, test generation, delivery-metrics tracking) rolled out across 12 teams over two APEX phases.
| Outcome | Before | After | Change | Timeframe | Method |
|---|---|---|---|---|---|
| Features-per-sprint increased 24% after AI-assisted engineering rollout across 12 teams | 3.4 features/sprint avg | 4.2 features/sprint avg | +24% | 8 weeks (APEX Assess + Pilot phases) | Jira throughput, measured on client's own repositories (source) |
| Code review turnaround reduced from 26h to 9h | 26 h median | 9 h median | -65% | 8 weeks | GitHub pull-request review timestamps (source) |
Payments platform modernization with AI-assisted delivery
Industry: fintech · Services: app_modernization, ai_engineering · Stack: Java, Kubernetes, AWS, Kafka
Strangler-fig decomposition of the core monolith with an AI-assisted engineering workflow; incremental cutover, no big-bang migration.
| Outcome | Before | After | Change | Timeframe | Method |
|---|---|---|---|---|---|
| Release cadence moved from monthly to weekly | 12 releases/year | 52 releases/year | +333% | 3 quarters | Production deployment logs (source) |
| Change failure rate reduced from 9% to 3% | 9% | 3% | -6 pp | 3 quarters | DORA metrics from CI/CD pipeline (source) |
1 additional engagement with NDA-verified metrics are available on request or via a reference call, and are intentionally omitted from the structured data on this page.
Snapshot: v-8a499825