Agent
Ask Questions. Review Recommendations.
The Agent queries modeled data, drafts reports, runs Automations, and queues recommendations for review before anything executes.
The Challenge
AI Recommendations Need An Approval Trail.
Black-box optimization tools change budgets and audiences without explanation. Agencies and enterprise teams need to show clients and stakeholders why a change was made — “the AI did it” is not an answer.
Meanwhile, insights die in dashboards. Weekly reports surface problems, but nothing tracks who acted on them. Recommendations pile up with no operational follow-through, and the work of monitoring, reporting, and refreshing audiences stays manual.
The Vendo Agent takes a different position: it does the work, and your team keeps the decision. It analyzes your data on demand, runs the Automations you define, and queues every finding and opportunity as an Approval — so nothing executes until a human says so, and every action stays explainable.
Drive Analysis Through Conversation
The Agent knows your entire data stack — every source, transformation, metric, and report in your workspace — and works the way you ask questions, not the way databases want them.
Analysis On Demand
Ask questions about attribution, spend efficiency, LTV trends, and anomalies without writing SQL or waiting for a report.
Strategy Grounded In Your Data
Budget allocation, channel mix, audience prioritization — recommendations grounded in your own data, not generic best practices.
Runs Platform Workflows
Manage sources and syncs, build transformations, run reports, and prepare recommendations for your approval.
Plain-Language Setup
Describe what you want in plain language. The Agent translates intent into queries, transformations, and reports across your connected data.
Define The Work Once. The Agent Runs It.
Automations turn recurring marketing work — monitoring, reporting, audience refreshes — into defined routines the Agent runs on schedule or on anomaly, with status tracking on every run.
Recurring Monitoring
Watch ROAS, spend, conversion rates, and pipeline health continuously, and surface what changed before it shows up in a monthly review.
Scheduled Reporting
Define the report once — weekly performance summaries, channel breakdowns, KPI digests — and the Agent produces it on schedule from live data.
Audience Refreshes
Keep segments and synced audiences current as customer data changes, without anyone re-running the export by hand.
On Schedule Or On Anomaly
Run Automations on a fixed cadence or trigger them when something unexpected happens, with status tracking on every run.
The Agent Proposes. You Approve. The System Executes.
Human-in-the-loop is the architecture, not a setting. Findings and opportunities queue for your review, approved work becomes Tasks, and the Memory keeps the record.
Detect
The Agent monitors your connected data and surfaces what changed — ROAS shifts, spend anomalies, pipeline health, audience drift.
Review
Findings appear in the review queue with context, severity, and a suggested action — never as a silent change.
Approve
Your team approves or dismisses each item. Approved items can create Tasks with attached workflows.
Execute
Tasks track execution through to completion, and the Memory logs what changed for future reference.
Review queue
Findings and opportunities — KPI shifts, anomalies, budget moves, audience changes — queue for human review. Approve to proceed, dismiss to skip. Configurable daily, weekly, or anomaly-triggered cadence.
Tasks
Turn approved recommendations into operational tasks. Attach workflows, track status in list or kanban views, and execute pipeline runs from one place.
Memory
Keep a record of budget shifts, campaign launches, configuration changes, and decisions — so when performance moves, the team connects outcomes to what actually changed.
Explainable By Design
Every recommendation includes reasoning and supporting data. Nothing executes without explicit approval — built for agencies, enterprise stakeholders, and compliance-conscious teams.
It Learns From Your Decisions.
Approvals, dismissals, and the Memory build operating context about how your business runs and what your team acts on — so recommendations get sharper over time instead of repeating generic advice.
Approvals And Dismissals
Every approve or dismiss decision teaches the Agent what your team considers worth acting on — and what to stop surfacing.
Memory Context
Campaign launches, budget shifts, and configuration changes become operating context the Agent reasons with, not just a log.
Uses Your Operating History
Approved recommendations, dismissals, campaign changes, and annotations shape future recommendations.
Trustworthy By Design
Grounded In Governed Data, Not Guesswork
The Agent operates on governed definitions, quality-checked data, and business context — not raw, unexplained data. The same marketing data plane and governance controls that keep your dashboards trustworthy keep the Agent trustworthy too.
Governed Definitions
The Agent works from metric definitions your team controls — LTV, CAC, ROAS defined once and applied consistently — not its own interpretation of raw tables.
Quality-Checked Data
Recency, volume, and structural checks run on incoming data before the Agent analyzes it, so answers reflect data you would trust in a dashboard.
Business Context Built In
It operates on the marketing data plane — resolved identities, normalized events, and your Memory — instead of disconnected exports.
A Human Decides
Recommendations queue for review with reasoning attached. You approve or dismiss before anything executes — accountability stays with your team.
Prefer Your Own AI? Bring It.
The Agent is built in, but it is not a lock-in. Vendo exposes the same workspace over MCP, so Claude, ChatGPT, Cursor, and other compatible tools can query and operate Vendo from wherever you already work.
FAQ
Frequently Asked Questions
Request Access
Book a discovery call.
We work closely with teams using Vendo on real marketing workflows. Book a call to explore fit and get hands-on with the product.
