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AI AutomationMar 7, 2026· 12 min read

The AI Tools Stack We Use to Run a Global Agency with a Lean Team

We run a global agency serving clients across 4 countries with a lean team. Here's the exact AI tools stack that makes it possible — and what each tool actually does.

Win Babu

Win Babu

Founder, Haben Consultants

Organized grid of AI tool interfaces and automation dashboards

Why the Stack Matters

Running an agency across the US, Canada, UK, and Middle East with a lean team is only possible because of the tools we've built and the tools we've chosen. This isn't a generic "best tools" list — this is what we actually use every day and why.

The stack breaks down into five categories: content and SEO, automation and workflows, client management, analytics, and our proprietary tools.

Content & SEO Layer

For SEO audits and keyword research, we use a combination of Ahrefs, Screaming Frog, and our own AI-powered audit tools that generate comprehensive reports in minutes instead of hours.

Content generation uses Claude and GPT-4 APIs through custom prompting pipelines we built in Python. The key insight: generic AI content is terrible. AI content with structured prompts, brand voice guidelines, and fact-checking layers is excellent.

Schema markup generation is fully automated — our tools analyze page content and generate the correct JSON-LD structured data without manual coding.

Automation & Workflow Layer

n8n is our primary automation platform — self-hosted for security and flexibility. We run over 200 active workflows handling everything from lead routing to report generation to content publishing.

For simpler automations and client-facing workflows, we use Make.com. It's more visual and easier for clients to understand when we hand over workflows.

Custom Python scripts handle the heavy lifting — data processing, API orchestration, and multi-agent task execution.

Client Management Layer

Project management runs through ClickUp with custom dashboards per client. Every deliverable, timeline, and approval is tracked in one place.

Communication is async-first. Slack for internal, Loom for client updates, and email for formal deliverables. This async approach is what makes cross-timezone work possible.

Analytics & Reporting Layer

Google Looker Studio handles client-facing dashboards. We've built template dashboards for SEO, paid ads, and marketing automation that auto-populate with client data.

Internal analytics use a combination of Google Analytics 4, Search Console, and custom tracking pipelines that feed into our reporting automations.

Proprietary Tools

This is where the real advantage is. We've built internal tools for content optimization scoring, technical SEO auditing, competitive analysis, and multi-agent workflow orchestration.

These tools aren't available off the shelf — they're built specifically for our delivery model and give us a speed and quality advantage that generic tools can't match.

The total monthly cost of our external tool stack is under $2,000. The proprietary tools run on our own infrastructure. This lean approach means we can price competitively while maintaining high margins.

Frequently Asked Questions

You don't need everything we use. Start with one automation platform (Make.com or Zapier), one AI writing tool, and one project management tool. That's enough to automate 80% of repetitive work.

Self-hosting gives us full control over data, no per-task pricing limits, and the ability to run complex workflows with custom code nodes. For agencies handling client data, this is critical.

Not currently. They're built into our service delivery. Clients get the benefit of these tools through our services without needing to license or manage them.

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