AI agents aren’t just a futuristic idea anymore. They’re showing up in every tool ecommerce teams use, from Shopify Sidekick and Klaviyo to Google Ads and Gorgias. But as David Brudenell, CEO of Decidr, pointed out on Add To Cart, most teams still treat AI like a virtual assistant for repetitive tasks. The real power comes when you teach agents to chase outcomes, not instructions.
“Most bots follow an orchestration flow”, David explained. “Ours isn’t. You just give it a goal. One ecommerce brand said, ‘Grow revenue by 20% over 12 months.’ Within eight weeks, it grew incremental revenue by five percent.”
The challenge now is to prepare your systems, teams, and data so your own AI agents can do the same.
You just give it a goal. One ecommerce brand said, ‘Grow revenue by 20% over 12 months.’ Within eight weeks, it grew incremental revenue by five percent.
David Brudenell, Founder of Decidr.AI
Let Agents Respond to Behaviour, Not Templates
The first step in building smarter agents is teaching them to respond dynamically. Sonia Friedrich calls the old approach “hardcoded” because every customer sees the same thing in the same place. That simple rule, she says, kills conversion because it ignores real behaviour. Her Bahamics platform uses dynamic nudges that change based on what a shopper is doing at that moment. For some, that might be a size-chart reminder that reduces returns. For others, it might be social proof that increases confidence. Agents that listen, interpret and adapt can guide shoppers toward the next best action, not just usher them through a predefined funnel.
Use AI to Accelerate Insight, Not Admin
AI becomes transformational when it elevates thinking instead of replacing it. Mike Rhodes showed this in performance marketing with his PMAX scripts. Manually downloading and cleaning data, he said, is “just too slow”. His goal was not to automate reporting but to “turn data into information so that you can get to insight much faster.” He describes his AI tools as early warning canaries that spot wasted spend before it hurts results. Ecommerce teams can take the same approach: set up agents to detect issues, highlight opportunities and surface insights so humans can focus on decisions, not formatting spreadsheets.
Integrate Agents Into Team Workflows
The final step is embedding agents into your team’s rhythm. Treat them like junior colleagues who surface insights, highlight bottlenecks and feed information into daily conversations. This might mean setting up Slack alerts for out-of-stock risks, campaign anomalies or trending support topics. As David put it, “Instead of telling your systems what to do, tell them what to achieve.”
When agents and humans collaborate through shared goals and shared data, the business moves faster. The humans focus on creativity, relationships and strategy. The agents handle the repetition and signal the important moments.
In this Playbook:
- Why outcome-driven AI agents outperform task-based automations
- How dynamic nudges can respond to real customer behaviour, not rigid templates
- How to train agents to think in margins, lifetime value and profitable product recommendations
- How AI can clean and interpret data to surface insights faster
- Why clean, connected data is the foundation for every effective AI agent
- How to plug agents into your team’s daily workflow so insights move at the speed of ecommerce
🎧 Listen to the full Playbook with David Brudenell from Decidr.AI, now on Add To Cart.
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