AI automation for agencies that gives billable hours back to the work clients pay for

Where the billable hours actually leak

Walk into most agencies and the same hours vanish in the same places. Someone spends the last three days of every month pulling numbers from Google Analytics, Meta Ads, Google Ads, and a dozen client dashboards into a slide deck nobody reads past page two. An account manager retypes a kickoff call into a brief, then retypes the brief into the project tool, then chases the client for the logo files they promised. A junior designer takes one hero asset and manually exports it into nine ad sizes, three story formats, and an email header.

None of this is strategy. None of it is craft. It is repetitive, rule-based glue work sitting between the parts clients actually pay for, and it grows every time you sign a new account. The cruel math of agency life is that busywork scales with headcount, so growth quietly eats the margin it was supposed to create. That is exactly the shape of work a machine should own, and it is where we start.

• Monthly and weekly client reporting pulled by hand across ad platforms and analytics
• Brief intake retyped from calls and emails into project tools
• Repurposing one asset into every channel size and format
• Client onboarding: contracts, access requests, kickoff docs, folder setup
• Status updates, timesheets, and internal check-ins nobody enjoys writing
• Feedback chasing scattered across email, Slack, and comment threads

What we automate, and how it works

We start with the workflow bleeding the most hours, usually client reporting. We connect directly to the source APIs (Google Analytics 4, Meta Ads, Google Ads, LinkedIn Ads, TikTok Ads) and pull the numbers on a schedule with n8n, so no one exports another CSV. An LLM turns the raw metrics into a plain-language commentary in your agency's voice (what moved, why it likely moved, what to do next), and the finished report lands in your template, Looker Studio, Google Slides, or a branded PDF, ready for a human to sanity-check rather than build from scratch.

The same pattern covers the rest of the glue work. For brief intake, a call transcript or a filled form flows through a model that extracts objectives, audience, deliverables, and deadlines, then drops a structured brief straight into Asana, ClickUp, Monday, or Notion. For repurposing, one approved master asset fans out into every required size and caption variant, wired to your DAM or Google Drive. For onboarding, a signed contract triggers folder creation, access provisioning, a welcome sequence, and a pre-filled kickoff doc. This is the same reporting and content plumbing we detail in our content marketing automation and reporting automation work, aimed squarely at how agencies run.

• Reporting: n8n pulls GA4, Meta, Google, LinkedIn, and TikTok into Looker Studio or branded PDFs with AI-written commentary
• Brief intake: call transcripts and forms parsed into structured briefs in Asana, ClickUp, Monday, or Notion
• Content repurposing: one master asset exported into every ad, story, and email size, plus caption variants
• Onboarding: contract signature triggers folders, access, welcome emails, and a pre-filled kickoff doc
• QA and routing: drafts routed to the right reviewer, feedback consolidated into one thread

Concrete playbooks we ship for agencies

The automated monthly report is the classic first win. A ten-client agency spending two days per client on reporting each month is burning roughly 160 hours a quarter on formatting and copy-paste. We take the pull-and-format work to near zero and leave your strategists doing the one thing that matters, the read on what the numbers mean. The report still ships with a human name on it, just without the two days of assembly behind it.

The second playbook is the content repurposing engine. A social team producing a weekly hero video or carousel usually loses hours slicing it into platform variants. We build a pipeline where the approved master triggers automatic exports for every channel, with AI-drafted captions and hashtags per platform, dropped into a scheduling tool like Buffer, Later, or Metricool for a final human pass. The third is the new-client onboarding runbook, where signing a contract kicks off everything a new account needs before the kickoff call, so week one is spent on the work instead of on setup. Where these workflows span several disconnected tools, we lean on the same cross-tool integration approach we use everywhere: connect what you already run, don't rip it out.

What it takes to build, and what you own

A single agency workflow, an automated client report or a repurposing pipeline, typically goes from kickoff to running in two to four weeks. We map exactly what a human does today, rebuild it as a pipeline in n8n (self-hosted in the EU when data residency matters), Make, or Zapier for the simpler app-to-app moves, and add custom code only where off-the-shelf tools fall short. Every run is logged, and anything ambiguous routes to a person instead of failing silently, so you are never handing client work to a black box.

You own the result, not a dependency on us. The automations run in your accounts, on your data, connected to the tools your team already lives in. We hand over documentation and a dashboard showing what ran, what it saved, and what got escalated. If you want to take maintenance in-house later, you can. The point is to give you a machine that runs your repetitive work, not to make you rent it forever.

• Timeline: 2 to 4 weeks from chosen workflow to a live automation
• Built on n8n (EU self-hosting available), Make, or Zapier, with custom code where needed
• Runs in your accounts, on your data, inside the tools you already use
• Full logging, human escalation on exceptions, and a live savings dashboard
• Documentation handed over so you can maintain it in-house if you choose

The ROI, and when not to automate

The economics for agencies are unusually clean because your unit of waste is a billable hour. Take reporting: ten clients at two days a month is around 40 hours monthly, or a quarter of a full-time salary spent on copy-paste. Move that to near zero and you either reclaim margin or resell those hours as strategy. Because Roiwerk works outcome-first, you pay when the automation is running and doing the job, not for a slide deck about it. We scope to the numbers first, how many runs, how many minutes each, what a mistake costs, and if the math does not clear the bar we say so before we build.

And we will tell you when to leave a workflow alone. Genuine creative judgement, the concept, the headline, the art direction, does not get automated; a model can draft and resize, but the taste stays with your people. If a workflow runs a handful of times a month or the rules change with every client, a custom automation costs more than it saves. The honest split is the repetitive 80% to the machine and the craft 20% to your team, with better inputs and fewer late nights. An agency that tries to automate the creativity itself is selling clients something worse; an agency that automates the glue around it ships more, faster, at a higher margin.

• Reporting alone can reclaim a quarter of a full-time salary in a ten-client agency
• Outcome-first pricing: you pay when the automation runs and does the job
• Reclaimed hours become margin or resold strategy time
• Creative judgement, concepts, and taste stay with your team, never automated
• Low-volume or constantly-changing workflows are not worth automating, and we say so