10 workflows we build for marketing agencies
Listed by what we ship most often, not what sounds coolest. Each one we've shipped at least three times.
1. Content production pipeline
What: Brief in, draft out. Agent researches, drafts, reviews against brand guidelines, formats for the publishing platform. Human reviews and ships.
Typical ROI: 60-80% reduction in time per piece. Agency profit margin per content engagement typically doubles.
2. Client reporting automation
What: Agent pulls campaign data from GA4, Meta Ads, Google Ads, LinkedIn Ads, Search Console, and your dashboarding tool. Generates branded report with insights, not just charts.
Typical ROI: 70%+ time savings on monthly reporting. Better insights because the agent surfaces patterns humans skim past.
3. Client onboarding
What: Agent handles discovery questions, brand guideline ingestion, asset organisation, kickoff doc generation. New clients are onboarded in days instead of weeks.
Typical ROI: 50-70% time savings on onboarding. Better client experience because nothing falls through the cracks.
4. Campaign optimisation
What: Agent monitors campaign performance, identifies underperforming creative or audiences, drafts adjustments, executes via the platform APIs (with human approval threshold).
Typical ROI: 10-25% campaign performance lift. Highest ROI when campaigns are large enough to warrant daily attention.
5. White-label AI products for resale
What: We build a productised AI capability under your brand. You resell it to your clients on retainer or per-use. Revenue-share available for partnerships.
Typical ROI: New revenue stream, often 30-50% gross margin. Differentiates your agency vs competitors who only sell time.
6. Lead enrichment and qualification
What: Agent enriches inbound leads with firmographic data, scores them against your ICP, drafts personalised outreach, and books qualified ones.
Typical ROI: 2-3x sales team productivity, higher meeting-to-close rate due to better-qualified pipeline.
7. SEO content cluster builder
What: Agent maps a keyword cluster, drafts pillar plus 6-12 supporting articles, internal-links them, optimises for AI Overview citation patterns. The same workflow we used building the page you're reading.
Typical ROI: 3-5x content velocity. Quality holds with the right reviewer in the loop.
8. Social media management
What: Content scheduling, comment triage, performance reporting, trend detection. Less "auto-post" (which is bad), more "assist the human poster" (which works).
Typical ROI: 40-60% time savings. Brand voice control matters here, so we usually keep humans in the publishing loop.
9. Competitive intelligence
What: Agent monitors competitor pricing, content, ads, hiring, and product launches. Weekly digest to your team.
Typical ROI: Strategic, not direct. Catches threats and opportunities humans miss because they're busy executing.
10. Internal knowledge agent
What: RAG over your agency's playbooks, case studies, brand guidelines, SOPs. Anyone in the team can ask "how do we usually handle X for clients in Y industry" and get a real answer.
Typical ROI: Compounds over months. New hires productive in weeks instead of months. Senior team time freed from repeated questions.
Featured: OpenClaw
OpenClaw is the marketing agent we built for ourselves. It runs DK Studio's content production, lead enrichment, social posting, competitive monitoring, and reporting. Built on n8n plus Claude Opus 4.7 plus Vercel AI SDK v6. Open-source and runs on a $20-per-month VPS.
Why we built it. We sell AI capability to agencies. If we couldn't use AI to run our own agency operations better than humans alone, we have no business pitching anyone else. OpenClaw is our forcing function and our reference build.
What it teaches us. The hardest part of agency AI isn't the model. It's the prompt design, the brand voice control, the integration glue, the escalation logic, the bits where it should not run autonomously. We learned all of that on ourselves before we sold it. That's the difference between agencies offering AI and consultancies who never shipped one.
Engagement models for agencies
Three ways we work with marketing agencies:
Fixed-price project. You pay for the build, you own it. Standard model for one-off workflows or internal automations. $15K-80K typical.
Monthly retainer. Ongoing build and maintenance, 1-3 new workflows per month. $5K-15K/month. Best for agencies expanding AI capability over a quarter or two.
Revenue share. We waive or reduce build cost in exchange for a percentage of revenue from the white-label AI capability we build (15-30% typical). Best for productised offerings you'll resell to multiple clients. Not for internal automation.
Pick based on whether you're buying capability (project), accelerating capability (retainer), or partnering on a new revenue line (revenue share).