Agentic AI for Email Marketing

Email automation is something Dr. Alfred Ang has built for real, not just demonstrated. As a full-stack AI developer, Agentic AI solution architect and CTO of Tertiary Infotech Academy Pte Ltd in Singapore, Dr. Ang creates intelligent agents and business solutions end-to-end, covering front end, back end, databases, cloud deployment and native mobile apps, with more than 300 public repositories on GitHub. One of the most relevant is malaysia_automation_setup, an n8n workflow project that adapts an existing auto-reply email system for the Tertiary Courses teams in Malaysia and Ghana, connecting Gmail to automated handling of incoming enquiries. Dr. Ang's ai-cms and ai-pei projects are AI-powered content management systems built on Next.js and the Claude Agent SDK, combining AI content generation, a weekly auto-blog scheduler, a self-improving lead-generation chatbot and lead capture built into every page, which together create the content and contacts that email campaigns depend on. The tapcard platform adds a digital business card with a built-in CRM that captures leads and tracks them through a Kanban sales pipeline, while socialmediapost publishes to 22 social platforms with a single API call. Dr. Ang has also built several lead-magnet websites with enquiry chatbots and n8n workflows. Running these systems shows clearly how AI-generated content, segmentation and follow-up work together, and where human review still has to step in. Those systems also taught Dr. Ang how quickly poorly briefed automation can damage trust with an audience, a lesson that shapes the course.

Agentic AI for Email Marketing applies that hands-on experience to the full campaign cycle. In the first topic, implementing agentic AI email marketing campaigns, learners see how an AI agent differs from a simple chatbot: it can draft sequences, personalise subject lines and body copy for each segment, schedule sends and trigger follow-ups based on behaviour. Dr. Ang demonstrates how to brief an agent properly, set brand and compliance rules, and keep approval checkpoints before anything reaches a customer's inbox. The second topic, AI-driven campaign performance and consumer insights analysis, focuses on open rates, clicks, conversions and unsubscribes, and on using AI to explain why a campaign performed as it did and what to test next. The third topic, AI agent analysis of market trends and customer feedback, shows how agents can summarise reviews, survey replies and enquiry emails into themes that sharpen future messaging. Throughout, Dr. Ang shares lessons from the enquiry auto-reply and lead-capture systems, including how to avoid generic copy that sounds automated and how to stay on the right side of consent and data protection expectations. The class is practical and tool-based, so marketers, business owners and communications staff can follow without coding. Participants leave with draft workflows they can pilot straight away. To explore the email automation and lead-generation projects mentioned in class, visit Dr. Small-group exercises let participants design a sequence for their own product or service and critique each other's subject lines and calls to action. Ang's portfolio at https://github.com/alfredang.