Q01How long is the setup from zero to first QScore?+
For D2C brands with GA4 + Meta + Google Ads: typically 48–72 hours. For enterprise tenants with custom data pipelines: 2 to 4 weeks including CDP stitching and RBAC configuration.
Q02Does QineticOS replace my existing tools?+
In most cases, yes — five to eight tools consolidate into QineticOS. We also support coexistence during migration: MarTech Attribution can read from your existing stack while CDP and Media Command are stood up.
Q03How does pricing work?+
Enterprise tiering based on tenant count, data volume (events/month), and module activation. No per-seat fee — RBAC is unbounded. Detailed pricing on the demo call.
Q04Where is my data stored?+
Multi-region cloud infrastructure with regional selection available for Indonesia, Singapore, and EU. Server-side CDP is first-party by default. You own the raw data and export at will.
Q05Is the AI actually autonomous, or just recommendations?+
Both — you choose per workflow. Full autonomy within hard-cap guardrails (AI acts, logs, reports), approval-gated autonomy (AI prepares, human approves), or recommendation-only (AI suggests, human executes).
Q06How do you prevent the AI from making bad decisions?+
Three layers: hard-cap guardrails (budget, audience, brand compliance) that cannot be crossed; statistical confidence gating (low confidence → AI proposes instead of acts); and before/after state logging with instant rollback.
Q07What if my QScore is low — is that embarrassing?+
No. A low QScore is a prioritized action list. Most teams we work with start between 40 and 60. The point is not the starting score — it is the trajectory.