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Vendo

Governance & Security

Governed Data. Accountable AI.

Quality checks, shared definitions, access controls, and audit trails keep the marketing data plane explainable. For important AI-proposed actions, the marketer stays in control.

Why Governance

You Can't Trust AI Built On Data Nobody Governs

Most marketing stacks have a quiet governance problem. Metrics are defined differently in every tool, schema changes break reports silently, and nobody can say with confidence who changed what or when. That was already painful when humans were the only ones reading the data. It becomes risky when an AI starts analyzing it and acting on it.

Vendo treats governance as part of the platform, not an afterthought. Data quality is checked continuously, business definitions live in one shared dictionary, access is permissioned and logged, and AI-proposed actions go through human approval. The result is a system where every team — and every AI — works from the same governed, explainable foundation.

Data quality checks

Spot failures, schema changes, and signal-quality issues before they compromise reporting or downstream activation.

Sync & Pipeline Monitoring

Every source sync, export, and transformation run is monitored, so failures surface as alerts — not as a wrong number in a report three weeks later.

Schema Change Detection

When an upstream platform renames a field or changes a structure, Vendo flags it before the change silently breaks reporting or downstream activation.

Signal-Quality Checks

Recency, volume, completeness, and consistency checks run continuously, so the signals feeding measurement and ad platforms stay decision-ready.

Operational Alerts

Issues route to the right people quickly, with clear job states and error details so your team can troubleshoot what ran, what failed, and why.

Shared definitions

A data dictionary of metrics, properties, and business definitions so every team — and every AI — means the same thing by the same word.

One Data Dictionary

Metrics, properties, and business definitions documented in one catalog — discoverable by every team member and every AI workflow.

Metrics Defined Once

LTV, CAC, ROAS, and conversion definitions are set once and reused everywhere, so two dashboards never disagree about the same number.

Shared Business Language

When marketing, finance, and the AI use the same definitions for "customer", "conversion", and "revenue", teams spend less time reconciling numbers.

Governed AI Context

The AI reasons from your governed definitions — not raw, unexplained tables — so its answers and recommendations stay grounded in your business logic.

Roles & access controls

Workspace roles and permissions scope who can see, edit, and approve — across the app, the API, and AI access.

Workspace Roles

Role-based access controls define what each team member can view, edit, run, and delete — administrators keep full control, members do day-to-day work without destructive access.

API Access Controls

Scoped API keys mean programmatic access follows the same permission model as the app, and keys can be managed and revoked by account owners.

Permissioned AI Access

AI and MCP access operate within the same workspace permissions — the AI can only see and act on what the connected workspace allows.

Enterprise SSO

Single sign-on via SAML for enterprise customers, so authentication is centralised with your identity provider.

Activity logs & audit trail

Every sync, change, and approval is logged so teams can trace what happened, who approved it, and why.

Every Job Logged

Source syncs, destination exports, transformation runs, and system tasks all appear in activity logs with status, timing, and error details.

Every Change Tracked

Configuration changes, pipeline runs, and user actions are recorded, so what happened, who did it, and when are never a mystery.

Recommendations On The Record

When the AI proposes an action and a marketer approves it, that decision is part of the trail — accountability is built in, not bolted on.

Filter & Investigate

Filter logs by status, type, integration, and date range to troubleshoot failures or audit exactly what ran in any time window.

Secure By Design

Encrypted transport, privacy-aware routing, first-party data collection, and a clear system of record for the data powering reporting, activation, and AI.

Encrypted At Rest And In Transit

Data is encrypted at rest with industry-standard AES-256 and in transit with TLS 1.2+ for all API communication and data transfer.

Privacy-Aware Routing

First-party data collection with data minimisation by default — Vendo processes only the data your configured pipelines need, nothing more.

Your Warehouse, Your Region

Warehouse-native architecture means your data can live in your own BigQuery or Snowflake, with data residency determined by your cloud provider.

For the full detail on architecture, compliance, and access controls, read our security practices and privacy policy.

Human-In-The-Loop

The AI Proposes. The Marketer Approves.

Autonomy without accountability is a liability. In Vendo, important actions require approval, every recommendation is explainable, and every decision lands in the audit trail.

Important Changes Require Approval

The AI can analyze, draft, and recommend. Consequential changes wait in an approval queue until a marketer reviews and confirms them.

Reasoning You Can Inspect

Recommendations come with the governed data and definitions behind them, so you can see why the AI is proposing an action before you approve it.

A Trail For Every Decision

Approved or rejected, every AI-proposed action is logged. The combination of governed definitions, approvals, and audit trail is what makes the AI accountable.

FAQ

Frequently Asked Questions

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