AI command center for agencies

AI for marketing agencies

dolv is the agency command center: grounded AI agents for marketing agencies run campaigns, content and outreach per client — every external action waits behind an approval gate, and a $250/mo budget cap keeps each retainer profitable. Scale agency output with AI, not headcount.

One workspace, many brands — each client account organised, on-brand and capped.

Agency operator running client accounts in dolv
Agency operator 3 client accounts · live
Director · client campaign
acme · creator
novex · analyst
lumen · listener
spend vs $250 cap
LinkedIn post prepared — awaiting approval
Built for the agency model

Multi-client AI marketing, one command center

Per-client agents, on-brand grounding, budget caps and approval gates — the agentic AI by use case your retainers actually need.

Per-client agents

A configurable agent for every client

Stand up an AI agent per client — its own role, system prompt and scoped tool set. Creator, analyst, listener or topic agents run the recurring work, so adding a logo to your roster does not mean adding a head to your team.

Grounding per workspace

Keep every client on-brand

Each agent is grounded by default in that client’s company profile, playbooks and knowledge, and applies the right skill. One agency, many brands — no cross-contamination, no generic AI copy that needs a full rewrite.

$250/mo budget cap

Budget caps make retainers profitable

Every agent ships with a default $250/mo budget cap, tracked spend and a full run-history. You see exactly what each client account consumed, keep AI cost inside the retainer, and price agentic AI by use case with confidence.

Director + members

Multi-agent campaigns as a delivery engine

A Director hands subtasks to member agents and synthesizes their work into one client deliverable. Agency content automation that drafts, researches and assembles a campaign — not a single thread of chat.

Approval inbox

Approval gates protect client trust

Nothing publishes or sends without sign-off. LinkedIn posts, WordPress articles and email move prepared → approved → executing → done, so a human always clears outbound work before it touches a client’s audience.

TOFU / MOFU / BOFU

Report on the full funnel, per client

Each client connects their own Search Console, GA4 and Ahrefs. dolv maps live metrics onto a weighted funnel health score and the correlation engine shows what actually moved the number — reporting your retainer can stand behind.

The delivery loop

How an agency client runs on dolv

From kickoff to sign-off, the same loop repeats for every account.

01

Stand up the client agent

Pick a role, write the system prompt, scope the tool set, and ground it in the client’s company profile, playbooks and knowledge.

02

Connect the client’s stack

Wire up their own GSC, GA4, Ahrefs, Gmail, LinkedIn and WordPress so the agent reads live data and can take real action.

03

Run multi-agent campaigns

A Director assigns subtasks to member agents and synthesizes their work into one client deliverable, ready to review.

04

Approve, then report

Sign off outbound work in the approval inbox, then report funnel health and correlations — all inside the budget cap.

Lean on AI marketing automation to run the campaigns and AI SEO to grow each client’s organic funnel — both inside the same workspace, both grounded in that client’s brand.

Adjacent teams

Not quite an agency?

The same command center, framed for how other lean and growth teams operate.

  • Solo & lean marketers

    One operator directing a whole agent team, with a human-in-the-loop on every send.

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  • Growth & demand-gen teams

    Funnel intelligence and a cross-metric correlation engine that find the bottleneck and act on it.

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  • B2B SaaS teams

    North Star, OKRs and ICE experiments tying every campaign to pipeline and revenue.

    Explore solution

Browse every persona on all solutions, or dig into the pillars — AI agents, funnel intelligence and grounded AI.

FAQ

Agency questions

Per-client agents, on-brand grounding, client integrations, approvals and capping AI spend.

Can I run separate agents per client?

Yes. You create a dedicated AI agent for each client with its own role, system prompt and scoped tool set. Agents keep their own run history and budget independently, so a per-client setup keeps each account organised and accountable inside one dolv workspace.

How do I keep clients on-brand?

Every agent is grounded by default in that client’s company profile, playbooks and knowledge, and applies the right skill before it writes. Because grounding is scoped per workspace, each brand keeps a distinct voice and the output needs far less editing than generic AI.

Does each client connect their own GSC / GA4?

Yes. Each client connects their own real read-and-write integrations — Search Console, GA4 and Ahrefs for SEO and analytics, plus Gmail, LinkedIn and WordPress for outreach and publishing. dolv reads that live data to score the funnel and run correlations for that account.

Can I cap AI spend per client account?

Yes. Every agent has a default $250/mo budget cap with tracked spend and a full run-history. You can see exactly what each client consumed, keep AI cost inside the retainer, and protect margin without policing usage by hand.

How do approvals protect client work?

Anything that leaves the account is held first. The agent prepares the email, LinkedIn post or WordPress article and queues it in the approval inbox — prepared → approved → executing → done. A human clears every outbound action, so nothing reaches a client’s audience without sign-off.

Scale agency output with AI

One AI command center for every client

Per-client agents, on-brand grounding, budget caps and approval gates. Connect each account’s stack and let dolv run the work. dolv it.