
AI Agents for Marketing Agencies
Scale Your Agency Without Scaling Your Headcount
Hands-on training to build AI agent teams that handle content pipelines, client reporting, and campaign management — so your team focuses on strategy and creative work.
The Problem
You're Turning Down Revenue Because You Can't Scale
Your agency has more demand than capacity. You're saying no to new clients, burning out your team on repetitive tasks, and watching competitors grow faster with the same headcount.
of agency owners say capacity is their #1 growth bottleneck
HubSpot 2025
hours per week per account manager spent on reporting alone
Agency Analytics 2025
of creative time spent on revisions and coordination, not creation
Adobe 2026
client load handled by AI-augmented agencies vs traditional
Forrester
The answer isn't hiring more people. It's building AI agent teams that handle the repetitive 60% — reporting, first drafts, data pulling, formatting — so your humans do the creative and strategic work that clients actually pay for.
The Shift
From Chatbots to Agent Teams
You've probably tried AI — used ChatGPT to draft social copy, maybe tested an AI writing tool. That's useful, but it's not the game-changer your agency needs.
AI Chat
You ask one question, get one answer. Like having an intern who only responds when poked.
"Write me a LinkedIn caption"
AI Copilot
AI assists while you work — suggests copy, generates headlines. Helpful, but you're still doing the work.
Jasper suggesting variations
AI Agent Teams
Multiple specialized agents work together on complete workflows. They research, create, review, and distribute — you approve and refine.
Agents run entire content pipeline
We teach you to build at Level 3.
Not chatbots. Not copilots. Full agent teams that run complete workflows.
What You'll Build
Agent Teams for Real Agency Workflows
These aren't hypothetical demos. These are the exact workflows that early-adopter agencies are automating right now.
Use Case 01
Content Production Pipeline
4-agent system · From brief to published across all channels
The problem: Every piece of content requires a research phase, a drafting phase, an editing phase, and a distribution phase. Your team repeats this cycle hundreds of times per month — and most of the bottleneck is coordination, not creativity.
The agent team:
Result: Content that used to take 4–6 hours per piece now takes 45 minutes of human review. Your creative team focuses on strategy and big ideas, not first drafts.
Use Case 02
Client Reporting & Insights Engine
3-agent system · Replaces 15 hrs/week of manual reporting
The problem: Every Monday, your account managers spend hours pulling data from Google Analytics, ad platforms, social dashboards, and CRMs — then formatting it into slides that clients skim for 5 minutes.
The agent team:
Result: Reporting drops from 15 hours/week to 2 hours of review. Clients get better insights, and account managers get their Mondays back.
Use Case 03
Campaign Orchestration System
4-agent system · Manages ad campaigns with human oversight
The problem: Running multi-platform ad campaigns means constant monitoring, budget adjustments, creative swaps, and performance analysis. One account manager can only handle 3–4 clients well before things start slipping.
The agent team:
Result: Account managers go from managing 3–4 campaign clients to 10–12. Performance improves because optimization happens hourly, not weekly.
The Curriculum
What You'll Learn
Four modules that take you from "I've tried ChatGPT" to "I built an agent team that runs my content pipeline."
MODULE 1
The Agent Opportunity for Agencies
- Why chatbots didn't transform your agency — and what's different about agents
- The 5 agency workflows where AI agents deliver the highest ROI
- Real case studies: how early-adopter agencies are scaling without hiring
- Addressing the elephant in the room — will AI replace creative jobs?
MODULE 2
Designing Your First Agent Team
- Map your agency's workflow to identify the highest-ROI automation opportunity
- Agent architecture for agencies: roles, handoffs, quality gates, and client approvals
- Build vs buy: when to use existing tools vs custom agent workflows
- Client data security and confidentiality by design
MODULE 3
Hands-On Build Session
- Build a working agent team for your agency's specific bottleneck
- Connect to sample data sources (analytics, CMS, ad platforms)
- Test with real-world scenarios — guided by instructors
- Set up human-in-the-loop checkpoints for client-facing output
MODULE 4
Implementation Roadmap
- Your 30/60/90 day plan — what to automate first
- How to position AI capabilities to clients (and what to charge)
- Getting your team on board — change management for creatives
- Scaling from one agent team to a fully AI-augmented agency

Programs & Pricing
Three Ways to Get Started
Free Webinar
AI Agents for Agencies: The 2026 Briefing
A 60-minute briefing on how AI agents are transforming marketing agencies. Live demos, real metrics, no fluff. See what's possible before you commit.
registration required
Workshop
Build Your AI Agent Workforce
Half-day hands-on workshop. You arrive with your agency's biggest bottleneck and leave with a working AI agent team that addresses it. Limited to 20 participants.
per participant
Agency-Wide Training
Private Agency Engagement
We deliver a customized program for your entire agency — leadership and team leads. Tailored to your client verticals, tech stack, and workflows. Includes 60-day post-training support.
flat engagement
The ROI
What AI-Augmented Agencies Are Reporting
Early-adopter agencies aren't just saving time — they're fundamentally changing their business model.
| Metric | Before AI Agents | After AI Agents |
|---|---|---|
Client capacity per account manager | 3–4 clients | 10–12 clients |
Weekly reporting time | 15–20 hrs | 2–3 hrs |
Content pieces per month | Baseline | 3–4× output |
Campaign optimization frequency | Weekly | Hourly |
Revenue per employee | Baseline | +40–60% |
Client retention rate | Average | Top quartile |
Your Instructor
Dr. Andrey Kunov
Lead Instructor
Andrey doesn't just teach AI strategy — he runs multi-agent AI systems in production. When he shows you how to build an agent team for your agency, he's drawing on the same architecture he uses to run his own businesses.
FAQ
Frequently Asked Questions
Is our client data safe?
Yes. All workshop exercises use synthetic data — sample analytics exports, anonymized campaign data, and provided case studies. No connection to your actual client accounts. When you implement at your agency, we show you how to set up agents with proper data isolation and access controls.
Do I need to be technical?
No. If you can use Google Analytics and a project management tool, you can build an AI agent. The workshop is designed for agency professionals, not engineers. We handle the technical setup so you focus on workflow design — which is where your expertise matters.
Will this replace my creative team?
No. AI agents handle the repetitive 60% of the work — first drafts, data pulling, formatting, distribution. Your creative team focuses on strategy, big ideas, and the nuanced creative work that clients hire you for. Most agencies find they can take on more clients without adding headcount.
How is this different from tools like Jasper or Copy.ai?
Those are single-purpose writing tools. AI agent teams orchestrate entire workflows — from research through publishing, from data collection through client-ready reports. They coordinate multiple specialized agents, not just generate text.
What size agency does this work for?
We've designed this for agencies with 3–100+ people, but the principles apply at any size. Freelancers and solo consultants benefit too — agents let a one-person operation deliver like a five-person team.
Can I send my team instead of attending myself?
The workshop is valuable for both agency leadership and team leads. Owners learn strategy and ROI; team leads learn implementation. For agency-wide training, we customize content for different roles — creatives, account managers, and leadership.

The Opportunity
The agencies that adopt AI agents first will win the clients that everyone else turns away.
While your competitors are still staffing up and burning out, AI-augmented agencies are serving 3× the clients with the same team. The gap is widening every quarter — and the early movers are building advantages that compound.
Next webinar dates announced monthly · Workshop cohorts limited to 20 participants