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INDUSTRY · MARKETING AGENCIES

AI assistant for marketing agencies from a team that runs on one.

An AI assistant for marketing agencies takes on the work that eats an account manager's week: client reports, onboarding, access requests, approvals and anomaly checks. Varnan runs its own agency on this kind of assistant, with people approving everything that goes out.

The problem

What gets stuck today.

Reporting that eats days

Each month someone exports from the ad platforms, pastes into slides and rewrites similar commentary for every client. The numbers are ready on the first; the report is not.

Onboarding that depends on who runs it

Access requests, tracking checks and kickoff documents follow each account manager's habits, so one client waits a week for pixel access while another is set up in a day.

Account managers turned into reminders

Creative waits for sign-off, budgets wait for confirmation and access waits for a reply. The campaign starts late, and the agency absorbs the delay.

What your assistant does

Client reports to approvals: agency work it takes on

WhenThe assistantYou or your teamResult
Every Monday at 7:00 AM Pulls last week's spend, leads and cost per result for each client from Google Ads, Meta Ads and GA4, then drafts the report with commentary on what changed. The account manager checks the numbers and rewrites any commentary before sending. Reports are ready for review on Monday morning, not assembled on Thursday.
A new client is marked won in the CRM Creates the onboarding checklist in Notion, sends access requests for ad accounts, GA4 and the website, and chases each missing item every two days. The account manager sends the kickoff email and confirms access. Every onboarding follows the same checklist, with missing access visible to the team.
A client's daily spend runs 20% above plan, or cost per lead rises 30% over its 7-day average Checks the campaign settings and posts an alert in Slack with the likely causes. The media buyer decides to pause, adjust or hold. The assistant changes no budgets. Spend problems are found within hours, not at month end.
A discovery call ends and Fireflies posts the transcript Drafts the proposal in your template covering goals, scope and timeline, and leaves the pricing blank. The founder or account lead adds pricing and sends it. Proposals begin from what the prospect said, not from a blank page.
Every weekday at 8:00 AM Researches prospects that match your ideal client profile from public sources, notes a relevant trigger such as a product launch or a new hire, and adds them to the CRM with a drafted first message. The business developer reviews the list and sends or discards each message. Outbound starts the day with a vetted list.
A deliverable has waited 48 hours for client approval Drafts a polite chaser naming the item and what the delay does to the launch date. The account manager sends it. Approvals stop depending on anyone's memory.
A day with it

What your day looks like.

  1. 7:00 AM

    The agency head gets a brief: spend pace for every client, anomalies overnight, and which deliverables are still waiting on a client.

  2. 8:00 AM

    The day's prospect list arrives in the CRM, each with a note on why now and a drafted opening message.

  3. 10:30 AM

    A retail client's spend is running hot. The media buyer reads the alert, finds a budget misconfiguration and fixes it.

  4. 1:00 PM

    A discovery call ends. By mid-afternoon a proposal draft with the scope filled in is in the shared folder.

  5. 3:30 PM

    The access chaser for a newly signed client goes out. The account manager sees which logins have arrived.

  6. 5:00 PM

    Two approval reminders are drafted and waiting. The account manager sends them in a minute.

Connects to

The tools you already use.

If a tool has an API or an export, it can usually be connected.

Guardrails

It does the legwork. People make the calls.

Clients hear from people

The assistant assembles numbers and drafts commentary. An account manager checks and sends every report and every message that reaches a client.

Ad budgets change by hand

Anomaly alerts explain what moved and suggest options. A media buyer makes the change; the assistant never edits bids, budgets or campaign status on its own.

Client data stays separate

Each client's accounts, sheets and folders are scoped on their own, so a workflow for one client cannot read another's data, and access can be revoked client by client.

Nothing reaches a client unchecked

The assistant drafts. A person on your team sends.

How we build it

Quoted first. Built to fit.

This isn't a template with your logo on it. Every build starts from how your business actually runs — so there's no off-the-shelf demo, and we won't pretend otherwise.

  1. 01

    Discovery call

    We map how your week and your business actually run, and pick the first tasks worth handing over.

  2. 02

    A live build on your work

    On the strategy call we build one of your real tasks with AI, on screen — your data, not a generic demo.

  3. 03

    Scope and quote

    We scope the build with you on a strategy session and quote it in writing — agreed before a single workflow is built.

  4. 04

    Build, connect, hand over

    The assistant is wired into your tools, with inputs set up for each person on your team.

  5. 05

    Run and refine

    We go live, then tune reminders, reports and sign-offs as your team settles in.

Questions

AI assistant for marketing agencies: account manager FAQs

Is this a chatbot for our clients?

No. A client-facing chatbot answers questions from your clients; this assistant works for your team. It drafts reports, chases access and approvals, watches spend and prepares proposals. Clients still hear from your account managers, who review everything before it is sent.

Do you use this yourselves?

Yes. Varnan runs its own operations on a custom AI system connected to Gmail, Google Calendar, Google Drive and Sheets, Notion, Calendly, Fireflies, WordPress, Google Search Console, GA4 and Cloudflare, with our team approving what goes out. Your build is wired to your tools and your rules.

Can it connect to our ad platforms and reporting stack?

In most cases, yes. Google Ads, Meta Ads, GA4, Search Console, Looker Studio and Google Sheets are common starting points, and a CRM or project tool can usually be connected through its API. We confirm every connection in scoping, before the price is fixed.

Will it write our client reports on its own?

It drafts them; your account manager sends them. The assistant pulls the figures, compares them with the previous period and writes first-pass commentary in your house style. A person verifies the numbers and the narrative, because the client relationship and the accountability remain yours.

How does an AI agent for marketing agencies handle many clients?

It runs one workflow per client from a shared template, with each client's accounts, thresholds and contacts held separately. Adding a client means adding a row of settings, not building a new process. Alerts name the client, so your team sees which account needs attention.

What should an agency hand over first?

Start with the task your team dreads and repeats, usually the weekly client report or the onboarding access chase. One workflow can be live in about a week. Anomaly alerts, proposals and lead research follow in phases, each scoped and quoted in writing first.

Tell us how your week runs. We'll show you what comes off your plate.

Get your own Jarvis. Built around how you work.

Tell us how your business runs. We’ll come back with what an assistant would take off your plate — and show it working on one of your own tasks.

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