Adding Your First AI System
Powered by KlarvoEngine: When you add an AI system, KlarvoEngine automatically classifies it through a 3-pass pipeline. You describe the system in 4 fields — KlarvoEngine handles classification, obligations, and controls. See How KlarvoEngine Works.
This guide walks you through the complete process of adding an AI system to your Klarvo inventory — from preparation to the auto-generated compliance outputs.
Before You Begin
Gather the following information. You don't need everything upfront (the wizard creates tasks for missing items), but having these ready makes the process faster:
| Information | Where to Find It | Required? |
| System name & internal ID | Your IT asset register or project name | Yes |
| Vendor/provider name | Contract or subscription records | If third-party |
| Primary owner | The person accountable for this system | Yes |
| Deployment regions | Where users or affected people are located | Yes |
| Affected groups | Customers, employees, candidates, students, etc. | Yes |
| Purpose description | What decisions or actions it influences | Yes |
| Vendor documentation | DPA, security docs, model cards | Recommended |
| Contract/terms link | URL or PDF of the agreement | If vendor-based |
Starting the Wizard
Quick Capture Mode (2–4 minutes)
Best for initial inventory building, shadow AI triage, or low-priority systems. Captures essential identification, scope, and vendor info. Creates follow-up tasks for everything else. Classification is set to "Needs Review."
KlarvoEngine Classification (under 60 seconds)
Best for production systems, customer-facing AI, high-risk candidates, and audit preparation. KlarvoEngine's 3-pass pipeline handles prohibited practices screening, risk classification, transparency checks, data governance, human oversight, and FRIA trigger evaluation automatically. Produces a definitive classification memo with article citations in under 60 seconds.
Wizard Steps Overview
The wizard progresses through six logical phases:
Phase 1 — Foundation (Steps 0–3): Mode selection, basic info, vendor details, ownership assignment
Phase 2 — Scope & Context (Steps 4–5): Deployment regions, EU countries, affected groups, value chain role (deployer/provider/both)
Phase 3 — Classification (Steps 6–9): AI system definition test, use case description, prohibited practices screening (Article 5), high-risk screening (Annex III)
Phase 4 — Obligations (Steps 10–14): Transparency (Article 50), data & privacy, human oversight model, logging & records, incident response
Phase 5 — Special Contexts (Steps 15–17): Workplace-specific obligations, public authority context, training & AI literacy
Phase 6 — Finalization (Steps 18–20): FRIA trigger check, reviewer sign-off, completion summary
Each step includes contextual help text explaining why the question matters and what regulatory obligation it maps to.
After Completion
Once you finish the wizard, Klarvo auto-generates five key outputs:
Tips for Success
✅ Be thorough: More detail in the wizard means fewer follow-up tasks and a higher-confidence classification
✅ Involve stakeholders: Loop in the actual system users — they know operational details you may not
✅ Attach evidence during the wizard: The wizard accepts file uploads at key steps — add vendor docs, screenshots, and policies as you go
✅ Use Quick Capture wisely: Great for building inventory fast, but schedule time to upgrade high-priority systems to KlarvoEngine Classification within 2 weeks
✅ Set realistic review dates: The default next review is 90 days after creation — adjust based on system criticality and change velocity