AI Automation for a Marketing Agency: A Worked Example
Where a 14-person agency's hours go, which an AI agent can take on, and what stays with people. A worked example with the arithmetic laid out to check.
This is a worked example, not a customer story. The agency below is hypothetical, and every figure in it is an assumption you should replace with your own. An earlier version of this post told it as the story of a named agency owner; that person was invented, so we have rewritten it as what it always was — arithmetic.
Picture a 14-person digital marketing agency. Twenty active clients. SEO, paid ads, content, social — the full stack. The team is good at the work that wins clients, and it spends a surprising share of every week on the work that merely has to get done: reports, calendars, briefs, research.
This post walks through where those hours go, which of them an AI agent can realistically take on, and — just as important — which parts stay with people.
Step 1: Count the hours that don't need judgment
Here is a plausible week for our example agency. The numbers are assumptions, not measurements:
| Task | Hours/week (assumed) | Who |
|---|---|---|
| Weekly client reports (20 clients) | ~25 | 2 junior analysts |
| Social media calendars (15 clients) | ~20 | 3 content writers |
| Campaign briefs & ad copy variants | ~15 | 2 strategists |
| Competitor research & market scans | ~12 | 1 researcher |
| Meeting summaries & follow-ups | ~8 | Everyone |
| Total | ~80 | 8 people, partially |
At a blended $50/hour, 80 hours is about $4,000 a week, or roughly $16,000 a month. Your agency's numbers will differ; the exercise is worth doing with your own timesheets before you believe anyone's estimate, including ours.
Step 2: Set up agents for the repetitive parts
In Burrak AI, each agent gets a role — a pre-written brief describing what it is for — and access to the tools it needs. For this agency, four roles from the marketplace map onto the list above:
- SEO Specialist — keyword and competitor research, content optimisation notes
- Social Media Strategist — cross-platform calendars and platform-specific drafts
- PPC Strategist — campaign briefs and ad copy variants
- Researcher — competitive scans and market summaries
Then connect the tools the work actually lives in. Burrak connects to 90 services over the Model Context Protocol — for an agency, the useful ones are things like Google Sheets and Google Docs for reports and briefs, Notion or ClickUp for the content calendar, PostHog for product analytics, and Tavily for sourced web research.
Google Analytics, Google Ads and HubSpot connect too, so an agent can pull a client's GA4 traffic and campaign figures itself rather than wait for an export. Analytics and Ads are read-only: the agent reports on campaigns, it does not change them.
An honest gap: there is no Meta Ads or Search Console connector today. If reporting data lives there, export it to a Google Sheet first (most agencies already have a scheduled export) and point the agent at the sheet.
Four remote agents running in parallel need Pro Plus ($49.99/month, up to five remote agents and 60,000 credits a month). Agents draw on credits as they work, so heavy weeks cost more than light ones — the dashboard shows what each run cost.
Step 3: Estimate where the hours move
The pattern with agents is not "the task disappears." It is the task becomes a review. Someone still reads every client report before it goes out. So the fair estimate is drafting time removed, review time kept.
| Task | Before (assumed) | After: human review (assumed) | Hours moved |
|---|---|---|---|
| Client reports | ~25 h | ~3 h | ~22 h |
| Social calendars | ~20 h | ~4 h | ~16 h |
| Campaign briefs | ~15 h | ~3 h | ~12 h |
| Competitor research | ~12 h | ~1 h | ~11 h |
| Meeting follow-ups | ~8 h | ~8 h | 0 — left with people |
| Total | ~80 h | ~19 h | ~61 h/week |
If those assumptions held, about 61 hours a week — roughly $12,000 a month at $50/hour — would move from drafting to other work, against a Pro Plus subscription plus credits. If they are half right, the arithmetic still works. If your review time turns out close to the original drafting time, it does not, and you should find that out in the first week rather than the third month. That is what the $1 first week is for.
What a good prompt looks like
Client reports: "Generate this week's performance summary for each client in the 'Weekly exports' sheet. Flag any metric that moved more than 10% week on week, and draft a two-paragraph email per client. Put drafts in the 'Report drafts' doc — don't send anything."
Social calendars: "Draft next week's posts for the 15 clients in the content calendar. Use each client's brand guidelines page in Notion. One LinkedIn and two X drafts per client."
Campaign briefs: "Draft briefs for the three new onboardings in ClickUp. Include two ad copy variants per channel and a short competitor summary with sources."
Notice the instruction in the first one: don't send anything. Agents that draft and people who send is the safe default for client-facing work.
What stays with people
- Anything a client sees. Review before it leaves. An agent will occasionally be confidently wrong, and a client-facing error costs more than the hours saved.
- Strategy and relationships. The point of moving the drafting is to spend the hours here.
- Judgment calls on data. A 10% drop flagged by an agent is a question, not a conclusion.
- Client data handling. Check each client's contract before connecting their data to any third-party tool, including this one.
The question for agency owners
Burrak AI's marketplace has 200+ pre-built roles covering most agency functions — SEO, content, paid media, research and more. Whether they pay for themselves at your agency is an empirical question, and cheap to test: pick the single most repetitive task on your list, give it to one agent for a week, and time the review.
Try Burrak AI → — $1 for your first week. Set up your first agent in under 5 minutes.
Tags: marketing agency AI, AI automation for agencies, Burrak AI agency, automate client reporting, agency productivity, AI for marketers