Grounded AI command center
A chat assistant wired to 91 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.
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.
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.
A chat assistant wired to 91 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.
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.
Every public or irreversible action moves prepared → approved → executing → done. The provider call only fires after you approve. Internal drafts and tasks run immediately.
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.
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.
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.
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.
The deliberate difference from fire-and-forget automation: a real approval gate on every irreversible action.
The agent composes the email, post or publish and queues it. No provider call has happened yet.
You review exactly what will go out and approve it. Until you do, nothing leaves the building.
On approve, the real provider call fires and the linked task moves forward automatically.
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.
Every automated email is queued for approval before it leaves — nothing sends without a human clicking approve. That gate runs through a dedicated Email workspace: sequences, broadcasts, your sending channels and compliance, built in from the start.
Multi-step sequences branch on what a contact actually does, not a fixed delay.
One-to-many campaigns test themselves before you commit the full list.
Send from where your contacts already expect to hear from you.
The guardrails are on by default, not a checkbox you have to remember.
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.
The capabilities that make the automation real — and where to start.
Configurable agents — roles, models, $250/mo budget caps, run history and the multi-agent Director.
The unified TOFU / MOFU / BOFU funnel, weighted health score, correlation engine and multi-touch attribution.
Why every action is grounded in your company profile, playbooks and knowledge base — not the open web.
Intent-signal lead scoring and a full CRM, so the leads marketing earns turn into a working pipeline.
A full go-to-market bench without the headcount — one operator approving the work agents prepared.
The prepare → approve → execute loop, end to end, with the human gate exactly where it belongs.
What the category means, how dolv stays grounded, and how you keep control.
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 91 real tools to read your data and queue or ship work, with a human approval gate on anything public.
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.
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.
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.
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.
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.
Every automated email is queued for approval before it leaves — nothing sends without a human clicking approve. For broadcasts, an A/B test picks a winner by opens and clicks, then queues the remainder for your approval; it is never auto-sent. Sequences also auto-stop the moment a contact replies, bounces or unsubscribes.
Yes. Send through your own connected Gmail or Outlook mailbox, or through built-in dolv Mail on your own custom domain — dolv walks you through DNS verification with the records surfaced in-app, so mail goes out branded as you.
Yes. Every send includes a CAN-SPAM footer, preheader text and one-click unsubscribe with RFC 8058 headers. Double opt-in, a recipient preference centre, a fail-closed suppression list and weekly frequency caps are built in, not optional add-ons.
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.
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