Collect deliberately
Identify required contact, service and scheduling fields. Avoid requesting sensitive information without a justified business purpose and approved controls.
DATA & ACCOUNTABILITY
A practical framework for defining data ownership and processing responsibilities before an AI revenue deployment goes live.
DATA GOVERNANCE
Actual subprocessors, retention periods and contractual requirements must be confirmed for each engagement. This page describes Mavenu’s proposed operating approach—not a certification or claim that a customer system is already deployed.
Identify required contact, service and scheduling fields. Avoid requesting sensitive information without a justified business purpose and approved controls.
Map who may access, change, export and act on client records. Assign human approval to material decisions and externally facing changes.
Use configured systems and approved knowledge; distinguish normal automation, AI reasoning, and escalation where human intervention is needed.
Record the applicable contractual, legal and platform retention rules before production. No universal deletion period is implied.
Define permitted data export, offboarding roles, credential revocation, resource shutdown and client record handoff before the engagement begins.
Maintain access reviews, incident records, approved changes and deletion/export confirmations where supported and contractually required.
WHAT A CLIENT SHOULD REQUEST
Review procurement and security questions ↗ Read our proposed data & AI practices ↗
BEFORE ACTIVATION
Include data flow and offboarding in your revenue operations scope.