AI automation for marketing agencies: the same team, serving far more clients.
Medstar Media's blog posts took 10 hours each. Now they take under one, and the same team serves three times the clients. We build the content, reporting and operations systems that let agencies grow without hiring in a straight line.
Where agency margins disappear
Delivery that takes too long
Every deliverable has steps nobody has questioned in years. At Medstar, nine of the ten hours per post were legacy research, formatting and review.
Reporting that eats the end of every month
Account managers spend days pulling numbers, taking screenshots and building decks. And the report is the moment each client decides whether to stay, so a weak one quietly drives churn.
Duplicate work nobody sees
When there's no shared definition of "done", the next person redoes the work to be safe. One agency we mapped had about 15 hours a month of duplicate checking.
Too many tools, no shared picture
Updates scattered across several notification channels, records in screenshots and spreadsheets, and nobody with one view of every client.
The AI automation we build for marketing agencies
- Content production: research, briefs, first drafts and quality checks, with your team doing the final edit. Social media and marketing AI
- Client reporting: real delivery data pulled, matched to the right client and turned into client-ready reports. Automated reporting
- Creative at scale: one brief turned into many ad options across image models, with a fast review queue
- Onboarding: new clients set up, briefed and handed to delivery without the back-and-forth
- Sales follow-up and proposals: drafted from the call, approved by your team. AI sales assistant
- An operating system for the whole agency: every workflow mapped, costed and automated in order. Agent OS
Agencies we've built for
Medstar Media: three times the clients. Legacy steps removed, then an AI content system built for research, briefs and quality checks. Posts went from 10 hours to under one, and the same team serves 150+ clients instead of 50. It was built in four weeks.
A US agency serving home-service businesses: a 13-agent roadmap. We mapped the whole agency, sized 13 AI agents into a phased roadmap and built the first: a reporting agent that matched 4,571 records to 57 clients and writes client decks from real delivery data. Read the 13-agent agency case study
RetainAI: a retention dashboard for email agencies (prototype). A multi-brand retention dashboard for email and SMS agencies, covering cohorts, payback and subscription funnels, so account managers can show clients exactly what their retention work is earning.
Read the Medstar Media case study →How much does each deliverable really cost you?
Two sliders. Your own numbers.
Questions
About AI in marketing agencies.
For the production and admin around the creative work: research, briefs, first drafts, resizing, reporting, onboarding and follow-up. Strategy, ideas and the client relationship stay with your team.
Generic AI content can. That's why we build from each client's own rules and approved material, and why your team edits and approves every piece.
Yes. We pull the real data from your clients' accounts, match it to the right client, write the summary in plain English and put it in your report format, with your team approving before it goes out.
Usually it means fewer. A lot of "automation" software still needs someone doing the work behind it. We build on what you already use and often consolidate steps along the way.
Start with the step that costs your team the most hours, often content delivery or client reporting, then build AI around your own process and tools. One off-the-shelf tool rarely covers the whole job.