AI in Action: Practical AI and Automation for Business Marketing

What You’ll Learn:

How AI is being used in real marketing workflows
The evolution of automation and marketing tech
Custom GPTs and the next generation of AI tools
Strategies for integrating automation into service-based businesses
Practical advice for marketers and consultants adopting AI

Most entrepreneurs know they should be using automation, but few understand how to implement it in a way that drives growth instead of creating complexity. That’s where Kathrine Farris comes in.

As founder of Marketecs, she’s been helping service providers streamline their businesses for over 16 years. In the video below, watch her interview with Krishna Parmar on The Starting Story podcast (recorded June 18, 2025), where she explains exactly how AI and automation can simplify marketing and free up time for higher-value work. This conversation is packed with real-life use cases, practical tips, and a look at where marketing tech is heading next.

Video Time Stamps

00:30 How AI is Actually Being Used
07:31 Early Adoption of Automation
32:02 Introduction to Custom GPTs
36:42 Strategies for Integrating Automation
46:21 How AI Will Change SEO and Discovery

Links

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From Excel Formulas to Advanced AI Workflows

Farris has been building marketing systems long before automation was a buzzword. Her journey began with spreadsheets. “Excel was my first love,” she jokes. “It taught me conditional logic, which is the foundation of everything we do with automation now.”

That foundation has allowed her to stay ahead of the curve as tools like Zapier, Make.com, and n8n have transformed the automation landscape.

Why Conditional Logic Still Reigns

Whether building a lead scoring system or a fully automated marketing funnel, Farris returns to one key principle: conditional logic. “If you can map something out as a flowchart, you can build an automation,” she explains.

This mindset helps demystify complex systems. AI and automation don’t always require coding skills, however they do always require clear thinking and a willingness to test and iterate.

For example, one of her favorite builds is a lead scoring automation that tracks user behavior (i.e. clicks, email opens, form submissions) and assigns a score to each lead. Once a lead reaches a certain threshold, they’re automatically moved into a sales pipeline. It’s fairly simple, scalable, and effective. Plus, it can be set-up all in one system, without any coding.

The Tools That Matter (And the Ones That Don’t)

With dozens of new platforms launching weekly, staying focused is a challenge. Farris prioritizes tools that offer long-term flexibility. Her current go-to? The open-source platform n8n. “It’s like Zapier on steroids,” she says. “More control, more customization, but you need to be ready for a steeper learning curve.”

She also emphasizes choosing the right tool for your client’s stage of growth. “Not every business needs the most powerful solution right away. Sometimes it’s better to patch together what you have before investing in a full stack overhaul.”

AI Isn’t the Future. It’s Now.

Farris doesn’t see AI as optional. “It’s already reshaping how we work. You can either harness it or fall behind.” From brainstorming to content repurposing, Marketecs uses AI to eliminate redundant tasks and free up time for strategy and execution.

One standout, early example is her use of custom GPTs, specialized AI assistants built entirely within ChatGPT. She’s trained GPTs on her agency’s processes, course content, software features, and client FAQs, turning them into lead magnets, content generators, and even internal support tools.

“Clients can use a custom GPT to build a marketing funnel or answer platform-specific questions, without having to call us. It’s efficient, scalable, and it creates value before they even hire us.”

The Path Ahead: AI Agents and Micro Teams

Farris is currently exploring AI agents, which are automated systems capable of executing multi-step workflows independently. These tools could allow a team of five to do the work of fifty.

“This isn’t about replacing people. It’s about amplifying what a small, focused team can accomplish,” she says. “AI agents will eventually write content, schedule it, analyze engagement, and optimize campaigns, without constant oversight.”

Advice for Businesses Entering the AI Space

Her advice to consultants and service providers looking to integrate AI?

Don’t try to learn everything at once. Pick a tool or an angle and focus on it.
Start with the fundamentals like APIs, MCPs, conditional logic, and prompt engineering, before chasing trends.
Solve real problems. Avoid building tech for tech’s sake. Start with client pain points and find the tools that address them.
Stay flexible. The tools will change. Your problem-solving skills and strategic thinking are the assets that scale.

Build Systems That Grow With You

AI and automation aren’t shortcuts. When used correctly, they’re multipliers. As Farris puts it, “Every time I build an automation, I’m not just saving time, I’m creating a foundation that can support growth without burning out.”

In a landscape dominated by hype, her message is refreshingly grounded: embrace the tech, but never forget the strategy behind it.

Author’s note Sept 2025:

In just a few short months since recording this interview, it’s interesting to see what’s changed and what hasn’t. We now have ChatGPT 5, Agent mode, Nano Banana, MCPs, VEO3, and this is still just the beginning… Yet, we’re starting to see reports from big corporations that have spent huge budgets on AI, but still aren’t satisfied. And with every new tool, some other tool(s) seemingly become obsolete. So, I still believe much of what I shared in this interview holds true – focus on the why, not always the what. The technology will continue to change, but the forces behind it will not. Focus on fixing problems and be careful not to spend all of your resources chasing shiny objects.