Grounded AI command center
A chat assistant wired to 84 callable tools that read your data and queue or ship real work — grounded in your company profile, playbooks and knowledge base, never the open web.
AI marketing automation
AI marketing automation that runs the campaign — and waits for your approval
dolv is agentic marketing automation, not brittle if/then rules. Grounded agents read your stack, build the campaign board, prepare every broadcast and sequence, then pause for your sign-off — so work ships instead of stopping at a suggestion.
The platform
Everything a marketing automation platform should do — and actually execute
Most platforms branch on rules you wired by hand. dolv reads your live data, does the work across your stack, and measures the result in one place.
Multi-agent campaigns
A Director orchestrates member agents that each run the real tool-loop — in parallel or as a sequential handoff — then synthesizes a single deliverable into your Approvals queue.
Human-in-the-loop approvals
Every public or irreversible action moves prepared → approved → executing → done. The provider call only fires after you approve. Internal drafts and tasks run immediately.
Unified funnel intelligence
Work self-measures into one TOFU / MOFU / BOFU funnel on a rolling 30-day baseline, with a weighted health score (TOFU .25 / MOFU .40 / BOFU .35) so you see what moved pipeline.
North Star, OKRs & ICE experiments
Tie campaigns to a North Star metric and OKRs, then run ICE-scored experiments validated with a z-test — so growth is a measured loop, not a guess.
Agents with budgets & run history
Each named agent carries its own role, system prompt, tools and model, a $250/mo default spend cap, and a complete run-history log of status, duration, output and errors.
Multi-agent campaigns
Automate campaigns with a Director, not a flowchart
You don't draw branches. You assign a goal to a campaign and the Director runs member agents — in parallel for breadth or as a sequential handoff when one agent's output feeds the next. Each member reads your integrations, queues real work, and reports back; the Director merges everything into one coherent deliverable in Approvals.
- Parallel runs — several agents work at once, each on its own slice.
- Sequential handoff — research → draft → distribution, in order.
- OKR-aware — tie a campaign to an OKR and the objective plus key results are injected into every agent's context.
- Capped & logged — each agent has a $250/mo default budget and a full run-history log.
0callable tools the command center executes
0read + write integrations across your stack
0attribution models crediting every touch
Human-in-the-loop
Nothing public goes out without your approval
The deliberate difference from fire-and-forget automation: a real approval gate on every irreversible action.
01
Prepared
The agent composes the email, post or publish and queues it. No provider call has happened yet.
02
Approved
You review exactly what will go out and approve it. Until you do, nothing leaves the building.
03
Executing
On approve, the real provider call fires and the linked task moves forward automatically.
04
Done
The action completes and the linked task auto-closes. Reversible internal work runs immediately.
See exactly how the loop works on the how it works page — approvals sit precisely where the stakes are, so a small team moves fast without moving recklessly.
Who it's for
Built for the operator running marketing solo or small
AI marketing automation for small teams isn't about replacing people — it's leverage. Spin up a creator agent for content, an analyst agent for reporting, and a listener agent for intent signals, then approve their prepared work from a single queue. With grounded agents doing the busywork and a human in the loop on every send, a two-person team ships like a department — with the same governance, budgets and audit trail a larger org would demand.
Intent-signal lead scoring and a full CRM keep the pipeline honest, while multi-touch attribution and the correlation engine tell you which plays actually moved the funnel — not just which ones felt busy.
Go deeper
Explore the rest of the platform
The capabilities that make the automation real — and where to start.
AI agents
Configurable agents — roles, models, $250/mo budget caps, run history and the multi-agent Director.
Funnel intelligence
The unified TOFU / MOFU / BOFU funnel, weighted health score, correlation engine and multi-touch attribution.
Grounded AI
Why every action is grounded in your company profile, playbooks and knowledge base — not the open web.
AI sales & CRM
Intent-signal lead scoring and a full CRM, so the leads marketing earns turn into a working pipeline.
For lean teams
A full go-to-market bench without the headcount — one operator approving the work agents prepared.
How it works
The prepare → approve → execute loop, end to end, with the human gate exactly where it belongs.
FAQ
AI marketing automation questions
What the category means, how dolv stays grounded, and how you keep control.
What is AI marketing automation?
AI marketing automation is software that uses grounded AI agents to plan and execute real marketing work — campaigns, outreach, content and reporting — across your connected tools, instead of only firing fixed if/then rules. dolv is agentic: a chat command center that calls 84 real tools to read your data and queue or ship work, with a human approval gate on anything public.
How is dolv different from traditional marketing automation?
Traditional automation runs static triggers and you still write every email and post by hand. dolv reads live data from your integrations, composes the content, prepares the action, and self-measures the result in a unified funnel. The deliberate difference: dolv adds a human-in-the-loop approval gate so nothing irreversible goes out on its own.
Does AI marketing automation send emails without me approving them?
No. In dolv every public or irreversible action — a Gmail send, a LinkedIn post, a WordPress publish — is prepared and queued, not fired. It moves prepared → approved → executing → done, and the real provider call only happens after you approve. Internal actions like creating a task, scheduling a calendar event or drafting a Google Doc run immediately.
Can AI actually run a marketing campaign end to end?
Yes — through multi-agent campaigns. A Director orchestrates member agents that each run the real chat tool-loop to read integrations and queue work, in parallel or as a sequential handoff, then the Director synthesizes one deliverable. Tie the campaign to an OKR and the objective plus key results are injected into every agent.
How does dolv measure whether the automation worked?
Every play self-measures into a unified TOFU / MOFU / BOFU funnel on a rolling 30-day baseline, scored with a weighted health metric (TOFU .25, MOFU .40, BOFU .35). A correlation engine surfaces what moved the numbers, multi-touch attribution across five models credits the touchpoints, and ICE experiments are validated with a z-test.
Is AI marketing automation good for small marketing teams?
It is especially good for lean teams. Configurable agents give a small team a full go-to-market bench — content, outreach, analyst and listener roles — without adding headcount. One operator reviews and approves the work the agents prepared, so a single person ships like a department, with budgets and a full audit trail.
Put AI marketing automation to work
Connect your stack, point dolv at the outcome, and approve the work it prepares — grounded in your business, measured in one funnel, with you in the loop. dolv it.