Frequently asked questions
Answers about the platform, agents, integrations, governance, and deployment.
What is marnxt?
marnxt is a Growth Operations System — the decision and execution layer on top of your existing business stack. It connects systems, data and external signals into one context and turns them into prioritized decisions and governed action.
What is Growth Operations?
Growth Operations is the discipline of running growth as a continuous operating loop: connect, understand, decide, act, learn — instead of isolated reports, meetings and manual follow-ups.
Is marnxt a BI platform?
No. BI shows what happened. marnxt uses that observation as a starting point and continues into prioritized decisions, governed execution and measured outcomes.
Is marnxt a CRM or ERP?
No. CRM and ERP remain the systems of record for customers, orders and operations. marnxt sits on top and coordinates decisions and actions across them.
Is marnxt only for marketing?
No. Marketing is one use case. marnxt connects growth-relevant processes across commerce, CRM, sales, service and operations wherever a decision needs shared context.
How does marnxt use external data?
External market, demand and company signals are combined with internal data to detect changes and opportunities that internal systems alone cannot show.
Does marnxt replace existing systems?
No. Existing systems — for example commerce, ERP, CRM, analytics or payment providers such as Odoo or Mollie — stay authoritative. marnxt connects their signals and coordinates the resulting workflows.
Can marnxt write actions back into existing systems?
Where an integration supports it and permissions allow it, marnxt can write approved actions back into connected systems. Writeback remains scoped, governed and auditable.
How autonomous are AI agents?
Agents are a capability of the system, not a product category. They operate inside a defined scope with permissions, thresholds and human approvals, and every step is recorded.
How does marnxt know whether a decision worked?
Every decision and action is linked to the outcome it was meant to improve. Impact is measured back and feeds the next decision.
How do companies start?
With one workflow: connect the relevant systems, map the context, configure the decision and approval rules, validate them on real cases — then expand step by step.