Agents with real roles
Build named agents with a system prompt, a model, and a role — general, listener, topic, creator, or analyst. Each one is an operator, not a chat window.
AI agents · go-to-market
AI agents for marketing and sales that do the work
dolv gives go-to-market teams configurable AI agents that read your live data and execute real work — grounded in your company, capped to a budget, and held to human approval before anything ships. Operators, not chatbots.
Autonomous where it's safe, human-approved where it counts. dolv it.
operator, not chatbot
A chatbot answers. An agent acts.
The whole difference is execution. A dolv agent pulls your real GA4, Search Console, Gmail, LinkedIn, and CRM data, decides what needs doing, and then does it through callable tools — drafting the content, preparing the email, creating the campaign. These are AI agents that execute tasks, every one grounded in your company context by default.
25+ tools that execute
Agents call real tools to compose content, prepare outbound, create campaigns, schedule events, and open tasks — they do the work instead of describing it.
Human-in-the-loop approvals
Public or irreversible actions are prepared and queued: prepare → approve → executing → done. A person signs off before anything leaves your account.
Grounded by default
Every reply and every action is grounded in your company context, playbooks, and knowledge — so output sounds like you and stays inside the facts.
A $250/mo spend cap
Each agent carries a default $250 / month cap with live spend tracked against it. Hit the limit and the system stops the agent — budgets enforced, not trusted.
Measured against the funnel
Runs tie back to unified TOFU/MOFU/BOFU funnel intelligence and the correlation engine, so "sent 40 emails" becomes "moved MOFU health."
- 25 real tools an agent can call
- $250 default monthly spend cap, per agent
- 5 roles: general · listener · topic · creator · analyst
- 20 read + write integrations behind the tools
human-in-the-loop
Fast where it's safe. Stopped where it counts.
Internal, reversible work — drafting copy, planning a campaign, creating a task — runs immediately. Anything public or irreversible follows one clear lifecycle, so a person reviews before an email sends, a post publishes, or anything posts to LinkedIn.
- 01
Prepare
The agent reasons over live data and stages the action — a drafted email, a campaign, a LinkedIn post — without sending anything.
- 02
Approve
Anything public or irreversible lands in Approvals. A human reviews the staged work and clicks approve, or sends it back.
- 03
Executing
On approval the agent runs the action through real integration tools — Gmail, LinkedIn, your CRM, your calendar.
- 04
Done
The result is written to the agent run history with timing, output, and any error, then tied back to your funnel.
one to many
From one agent to a multi-agent team
A single agent is a head start. A team is a campaign. A Director agent coordinates member agents — running them in parallel or handing off in sequence — so a full motion executes as one orchestrated deliverable with shared context.
Point a team at outreach with the AI sales & CRM tools, at content and campaigns with AI marketing automation, then read every outcome through funnel intelligence.
who it's for
Built for lean teams that need to ship
If you're one or two people carrying the whole go-to-market motion, agents are how you cover more ground without losing control. Give an agent a role, hand it the exact tools it may touch, and let the run history and funnel intelligence prove what actually moved. See it shaped for lean teams and startups.
"the agent sent 40 emails" becomes "the agent moved MOFU health" — outcomes you can defend, not activity you have to explain.
questions
AI agents for marketing and sales — FAQ
What is an AI agent for marketing or sales?
An AI agent for marketing or sales is software that reads your live go-to-market data and takes action on it — not just a chatbot that answers questions. In dolv an agent has a role, a tool set, and a model, and it can call 25+ real tools to compose content, prepare emails, create campaigns, schedule events, and create tasks. Every action is grounded in your company context by default.
Do dolv's AI agents act on their own, or do I approve actions?
Both, by design. Internal and reversible actions — drafting, planning, creating a task — run immediately because undoing them costs nothing. Public or irreversible actions are prepared and queued in Approvals, where a human reviews and clicks approve before anything leaves your account. That is human-in-the-loop AI, not autopilot.
How do I control what an AI agent is allowed to do?
Each agent is configurable: you set its system prompt, its role, the model it runs on, and exactly which tools it can call. Narrow the tool set and the agent simply cannot take actions outside it. You can adjust any of this without writing code.
Can I cap how much an AI agent spends?
Yes. Every agent carries a default $250 / month spend cap with its current spend tracked against it. When an agent hits its cap it stops, so budgets are enforced by the system rather than by trust. You can raise, lower, or watch the cap per agent at any time.
Can a team of agents work together?
Yes. A Director agent orchestrates member agents into a multi-agent campaign — running them in parallel or handing off in sequence so a full motion (research → content → outreach → analysis) executes as one deliverable with shared context.
Build your first AI agent in minutes
Give it a role, a tool set, a budget, and a human to approve the risky stuff. Then watch it work — grounded in your company, measured against your funnel. dolv it.