Customer story

How Amazon's Social Media Team Uses Island AI Automation to Reclaim 80 Hours a Week

Prefer to read offline?

Download the PDF

Amazon uses Island to give employees secure and governed access to do their jobs. When their social media team wanted to take AI farther and automate the tedious, time-consuming work that was slowing them down, they tapped Island AI Automation. 

With Island AI Automation, Amazon's teams can: 

  • Build and run AI agents that are accurate, reliable, and governed from day one
  • Automate multi-step workflows across internal tools without writing code 
  • Give employees hours back each week that were previously lost to manual data entry and cross-system copy and paste 

Prefer to read offline?

Download the PDF 

Take your next step.

Schedule a demo 

The Challenge

Amazon's social media marketing teams operate across markets worldwide and touch multiple systems every day. Data that should flow automatically between tools often does not. Instead, employees copy information from one screen to another, handle purchase order updates manually, and update records across platforms that were never designed to talk to each other.

As AI agents became more powerful, Amazon’s social media team saw an opportunity to automate routine, time‑consuming tasks. While there were many AI tools on the market, most were designed for technical users and lacked the enterprise‑grade security and governance required to protect customer and company data. The team needed clear controls over what applications AI agents could access, what data they could view or transfer, which actions they could take, and when human approval was required.

Accuracy was non‑negotiable. When AI agents interact with production systems, small errors can have significant consequences. The team needed agents they could trust to execute tasks precisely and consistently. Just as important, the solution had to be dependable and low‑maintenance, delivering meaningful time savings without requiring employees to constantly monitor, correct, or manage the AI itself.

The Solution

Island’s AI Automation gave Amazon's social media marketing teams a platform built for enterprise-scale automation.

The Island Enterprise Browser had what AI agents need to run safely at enterprise scale: 

  • Access control policies  
  • Data protection policies
  • Built-in defenses for prompt injections
  • A complete audit trail 

When Island AI Automation introduced agentic workflows into this environment, the governance was already there. Agents can operate within the same security boundaries as the humans they are assisting, or be given their own dedicated AI policy.

Island AI Automation goes even farther. With AI Automation, AI agent builders could: 

  • Choose which models (including their own) to use
  • Integrate with AWS Bedrock
  • Define deterministic workflows 
  • Add human oversight into the loop for sensitive actions

By empowering business experts to build AI agents without relying on engineering, the team accelerates AI development and is more confident in scaling automation. Additionally, management can quickly see what AI agents users are building, and how much time they are saving the organization.  

Conclusion

Today Amazon's social media team is saving 80 hours per week. Workflows that previously consumed hours of manual effort now run in minutes. Employees who spent significant time on repetitive tasks have shifted that time to higher-value work.

Key outcomes include:

  • 80 hours per week recovered from manual workflows across purchase order processing, social media management, and tag creation
  • Governed automation from day one —every agent action is logged, auditable, and operating within defined policy, and automation becomes safe to scale
  • The end users are building AI agents themselves, without waiting on engineering 

The Island Enterprise Platform brings all of that under a single governance model, built for data protection and access control long before AI entered the stack. Done correctly, enterprises can drive real productivity with AI agents without putting the organization at risk.

Watch Jason Trunk, Island VP and Field CTO, walk through how Amazon built and deployed governed AI agents at AWS re:Invent 2025.

Want the full slides?

Download the presentation → (name and work email required)