AI CMO
Autonomous marketing operationsSenior marketing judgement and execution, on demand.
At a glance
- Ownership
- Valtair Labs
- Category
- Autonomous marketing operations
- Status
- Private Beta
- Audience
- Founders and lean marketing teams
- AI approach
- Planning and execution agents with tool use
- Grounding
- Brand and context store for on-brand output
- Oversight
- Human approval gates with a full audit trail
- Reliability
- Durable workflow state, retries and fallbacks
- Model providers
- Multiple, provider-agnostic
- Deployment
- Cloud, durable workflows
AI CMO plans and runs marketing workflows with human approval at the decisions that matter. It is our most ambitious internal test of agentic workflows: multi-step, stateful, and accountable to a person. It is a Valtair Labs experiment, and AI CMO is a working name.
Early-stage teams need senior marketing judgement and execution long before they can hire for it.
Founders and lean marketing teams
Product capabilities
Strategy to plan
Turn goals and context into a concrete, reviewable marketing plan.
Workflow execution
Run multi-step campaigns with state, retries, and clear checkpoints.
Human approval
Route the decisions that matter to a person before anything ships.
Why we built it
Marketing operations is a demanding test of agent reliability: it is multi-step, long-running, and consequential. Building AI CMO pushed our approach to workflow state, approvals, and cost controls in production.
Product experience
A plan a founder can read and approve, then a workflow that executes it with visible checkpoints and a clear audit trail.
System architecture
AI and data components
- Planning and execution agents
- Workflow state with retry and fallback handling
- Human-in-the-loop approval gates
- Cost controls across long-running workflows
Backend and integrations
- Durable workflow engine
- Approval and audit trail
- Marketing tool integrations
- Brand and context store
Evaluation and reliability
Plans are reviewed before execution, approval gates guard consequential actions, and every run leaves an audit trail so outcomes can be traced.
Product status
Status reflects where AI CMO is today. We publish product stages honestly and do not present prototypes as production systems.
Key lessons
- Long-running agents live or die on durable state and clean retries.
- Approval gates are a feature, not a limitation, for consequential workflows.
- An audit trail is what makes autonomous execution trustworthy.
An experiment, not a product
AI CMO is a Valtair Labs project. We build and run it to sharpen our own engineering, and we publish what we learn. It has no separate website, pricing, or support, and the name is a working description rather than a brand.
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