Your Amazon data is AI-ready. Now what?
Upcoming webinar
On-demand webinar
May 20, 2026
10:00 am

Your Amazon data is AI-ready. Now what?

Connecting your Amazon data is only step 1. Our webinar session unpacks the advertising guardrails and high-value workflows you need to implement next with your AI agent.

Stream now
Kenton Snyder
Product Manager
Brett Bohannon
Founder

Register for the webinar

Once brands and agencies can access their Amazon ads data through their AI agent, the question becomes: what’s next? How do you start building practical agentic workflows—and critical guardrails—around that advertising data? 

In this webinar session, Brett Bohannon, founder of Voartex, will show brands and agencies how to leverage (and de-risk) their AI agent for Amazon performance. He’ll walk through how to: 

  • Layer in brand and client guardrails. Add in the client’s goals, margin profile, budget limits, launch priorities, branded vs. non-branded strategy, or acceptable ACOS and ROAS thresholds.  
  • Building high-value ad workflows. Instead of trying to build one agent that answers everything, start with workflows like budget pacing, campaign performance reviews, search term analysis, wasted spend checks, bid adjustment opportunities, branded vs. non-branded performance, and weekly client reporting.
  • Create useful feedback loops. The best agent setups will not be static. They should log outputs, capture misses, classify bad recommendations, and improve instructions, routing, and workflows based on real usage.

Register now, and join us May 20 at 10 am PST/1 pm EST for the full webinar. 

Once brands and agencies can access their Amazon ads data through their AI agent, the question becomes: what’s next? How do you start building practical agentic workflows—and critical guardrails—around that advertising data? 

In this webinar session, Brett Bohannon, founder of Voartex, will show brands and agencies how to leverage (and de-risk) their AI agent for Amazon performance. He’ll walk through how to:

  • Layer in brand and client guardrails. Add in the client’s goals, margin profile, budget limits, launch priorities, branded vs. non-branded strategy, or acceptable ACOS and ROAS thresholds.  
  • Building high-value ad workflows. Instead of trying to build one agent that answers everything, start with workflows like budget pacing, campaign performance reviews, search term analysis, wasted spend checks, bid adjustment opportunities, branded vs. non-branded performance, and weekly client reporting.
  • Create useful feedback loops. The best agent setups will not be static. They should log outputs, capture misses, classify bad recommendations, and improve instructions, routing, and workflows based on real usage.