AI Is Your Team’s Sidekick, Not Its Replacement

AI is changing the world. No shocker there. In ecommerce, the impact is showing up faster than many other industries. In the last few months, we’ve seen AI and Agentic Commerce turning the corner from an exciting but frothy future state, into actionable, pragmatic, very real current state.

It writes code, summarizes data, suggests products, generates ideas, supports customer service, speeds up workflows, and makes teams more efficient. In ecommerce, Agentic Commerce takes that a step further by helping AI move from “here’s a recommendation” to “here’s an action we can take across the customer journey.”

That sounds powerful, and it is. But only when it’s used well.

“Execution has never been cheaper, strategy has never been more valuable.”

AI is flattening execution. When prompted, it can spit out a near endless stream of documents, blog posts, code, images, media and more. But it’s not replacing strategy.

AI is NOT a replacement for strategy. It is NOT a replacement for engineers. It is NOT a replacement for a team that understands your business, your customers, your website, your data, your brand, and the weird little technical details that make your ecommerce experience work behind the scenes.

AI, and especially Agentic Commerce, can help you move faster, but it cannot automatically tell you if you are moving in the right direction. You wouldn’t hand your car keys to a leprechaun just because it looked confident….Right?! AI can push the gas, but it still needs someone at the wheel.

AI Can Give You Answers. It Cannot Always Tell You Which Ones Are Correct.

AI makes experts faster and amateurs louder.

Need code? AI generates it.

Need an ad copy? AI writes it.

Need a product description? AI produces one in seconds.

Need a recommendation for a new tool? AI gives you ten before your coffee gets cold.

That sounds great, until you remember one very important thing: AI does not know the ins and outs of your business. By its nature, it needs a human prompt to give it directionality.

A basic production model looks like this:

• Ideation
• Strategy
• Execution
• Refining
• Testing
• Implement
• Measure

Currently, AI is showing some real promise in the back half of the production model, particularly in execution. It hasn’t jumped the fence before ‘execution’ into ideation and strategy, where almost ALL ideas fall apart.

It does not automatically understand your customers, your margins, your backend systems, your ecommerce platform, your brand voice, your technical debt, your fulfillment process, your compliance needs, or your long-term goals. It can make suggestions, but those suggestions still need to be reviewed, shaped, tested, and implemented by people who know what they are doing.

AI can get you there. A strong team helps make sure “there” is actually where you want to end up.

We’re Not Breaking Up With AI. We’re Setting Boundaries.

Easy now, we saw you sharpening your pitchforks, but we’re not anti-AI.

Far from it. We’re using it in actionable, practical ways to speed up execution, process data, target customers, and drive faster results for our clients.

“AI is best when it’s doing blue collar work for white collar workers” - Jason Nyhus Shopware

AI can make a lot of mundane work easier. It can help teams move faster, organize ideas, summarize information, draft starting points, analyze patterns, and take some of the repetitive tasks off everyone’s plate. That is a good thing. Nobody needs to spend three hours staring at a blank document or manually sorting through mountains of data if there is a smarter way to get started.

When used well, AI gives teams more time to focus on the work that actually needs human thinking: strategy, creativity, problem-solving, customer experience, technical decision-making, and all the weird edge cases that ecommerce loves to throw into the mix.

So no, this is not an AI hit piece.

We like AI. We use AI. We think AI has a real place in ecommerce. We just do not think it should be left unsupervised in the control room with all the buttons.

Irish Titans Stance on AI

AI Still Needs Oversight:

AI can move fast, but fast does not mean smart, accurate, or ready to run the show.

It can misunderstand context, make inaccurate recommendations, generate bland, brandless content, miss technical details, and create outputs that sound profoundly confident, while being profoundly wrong.

That is why human oversight is NOT optional.

We use a ‘Human AI Sandwich” model. That means a Titan is responsible for uncovering the idea, strategy, prompting AI to execute something that solves a real business problem, then steps back in to review, evaluate, refine the outputs.

Because when AI helps teams move faster, mistakes tend to happen just as quickly.

AI does not remove the need for quality control. It increases the importance of it. It’s easier than ever to generate something, it’s harder than ever to know when it’s going to solve a problem.