AI Automation for Marketing Agencies
Marketing automation for agencies is not about automating the creative work. It's about automating everything around it: client onboarding, reporting, project setup, status updates, asset handoffs. The operational work that eats 30-40% of your team's time. I map your agency's workflows and build AI automations on your existing tools in 4-6 weeks.
The problem
Your team bills for creative work but drowns in operations
Marketing agencies grow by adding clients, but every client adds the same operational overhead. Onboarding, reporting, project setup, status updates. The work that keeps the lights on but never appears on a timesheet.
Friday afternoons disappear into reports
Account managers pull data from Google Analytics, Meta Ads, LinkedIn, and SEMrush. Format it into the client's preferred template. Write the narrative. Every client, every week. 4-8 hours per account manager.
Every new client is the same 30 steps
Account creation, brief templates, channel setup, kickoff docs, Slack channels, PM board setup. Someone does this manually for every new client. 2-4 hours of setup that could be a single form submission.
What changes
Automate the work around the creative work
AI handles onboarding, reporting, task routing, and asset tracking. Your team focuses on the creative output that clients actually pay for.
Client onboarding
An AI agent handles all 30 setup steps from a single intake form: account creation, brief templates, channel setup, kickoff docs. Saves 2-4 hours per new client.
Client reporting
AI aggregates data from your platforms, formats the report in the client's template, and drafts the narrative. You review and send. Saves 4-8 hours per week per account manager.
Project and task management
AI routes incoming briefs, creates tasks in your PM tool, sends reminders, and flags bottlenecks. No more manual triage from email and Slack.
How we'll work
One workflow. Four weeks. Measurable results.
Each sprint tackles one high-impact workflow from assessment to production. Then we move on to the next problem.
Find the highest-impact opportunity
I sit with your executives and map the current state of your operations. Every workflow gets scored for automation potential and ROI. We pick the one that moves the needle most.
Design and build
We figure out what the automation looks like. Sometimes it's a Claude Cowork plugin. Sometimes it's custom software. I build it on your existing tools. No new platforms to buy.
Go live and measure
The system goes into production. I set up tracking for hours saved, throughput, and error rates. Real numbers, not projections.
Train your team
Your people learn to use the new workflow. Documentation, walkthroughs, hands-on sessions. Adoption is where most AI projects die, so this part gets the same attention as the build.
Know which workflow to fix first?
Book a 30-minute call. We'll map your operations and find the highest-ROI automation.
Example
15-person agency. Client reporting and scope tracking.
Account managers spent Friday afternoons pulling data from 5 platforms to assemble 12 weekly client reports. Nobody tracked scope creep until projects were underwater.
3hrs
Per report, every Friday
Account managers pulled from Google Analytics, Meta Ads, LinkedIn, SEMrush, and the CRM. Formatted into each client's preferred template. Wrote the narrative.
15min
Per report after automation
A reporting agent pulls data Thursday night, populates each client's template, and drafts the narrative. Friday morning: review and send.
36hrs
Returned to the team per week
12 reports at 3 hours each became 12 reports at 15 minutes each. Account managers now spend Fridays on strategy and client calls.
FAQ
Common questions about automation for this industry.