Marketing that runs while you sleep
Most marketing teams are stuck in execution mode — manually writing briefs, scheduling posts, pulling reports, chasing approvals. It's not a people problem. It's a systems problem. The teams winning right now have wired AI into their workflows so the machine handles the repeatable work, and humans focus on the judgment calls that actually move the needle.
I design and build AI-powered marketing systems using large language models, n8n workflow orchestration, and API integrations. The result: a leaner, faster, higher-output marketing operation — not more headcount, but better infrastructure. I've deployed these systems at DFSA-regulated fintechs (where compliance guardrails are non-negotiable), crypto exchanges (where speed is the edge), and e-commerce brands (where personalisation at scale is the moat).
What I build
AI Content Agents
LLM-powered agents that research topics, write first drafts, apply brand voice, optimise for SEO, and flag compliance issues — before a human editor ever touches it. Connected to your CMS for direct publishing or review-queue workflows.
n8n Workflow Automation
Visual automation workflows connecting your CRM, ad platforms, analytics stack, Slack, Notion, and any tool with an API. Automated performance reports, multi-step campaign triggers, lead routing — built without custom backend code.
Conversational AI Agents
Intelligent bots for WhatsApp, Telegram, and web — trained on your product, FAQs, and brand voice. Handles Tier-1 queries, captures leads, books calls, and escalates to humans only when needed.
Automated Reporting
Connected dashboards and scheduled AI-generated reports pulling from Google Ads, Meta, GA4, and your CRM — synthesising the signals that matter, not just the noise. Built on Looker Studio, Notion, or Slack.
Lead Qualification Automation
AI-powered lead scoring, enrichment, and routing — from web form to sales-ready contact without manual intervention. Integrates with HubSpot, Salesforce, Pipedrive, or whichever CRM you're running.
Compliance-Aware Pipelines
For regulated industries: content generation workflows with compliance guardrails built in. LLM prompts tuned to avoid regulatory red flags. Review queues that route flagged content to compliance before it ever goes live.
The build process
Workflow Audit
Map every repeatable marketing task: content production, reporting, CRM updates, campaign setup, lead handling. Identify what takes the most time and has the highest error rate. That's where we start.
Architecture Design
Design the system: tools, models, data flows, triggers, human-review checkpoints. Compliance requirements, brand voice, and output quality standards are baked in at the design stage — not bolted on later.
Build & Integration
Build using n8n, Anthropic Claude, OpenAI GPT-4o, or Google Gemini — whichever model performs best for each task. Connect to your existing stack. Test in staging before touching production.
Prompt Engineering & QA
Systematic prompt engineering to hit your quality bar. Edge case testing. Output audits against your brand standards. This phase typically takes as long as the build — it's where quality is won or lost.
Handoff & Training
Full documentation. Team training session. Monitoring dashboards. You should be able to run, adjust, and extend the system without needing me on call every time something changes.
Outcomes
Common questions
Ready to build?
Let's talk about your marketing challenges and where I can drive the most impact.
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