Service Stream collaborated with Amazon Web Services (AWS) to develop an AI-powered image verification prototype that is transforming the way field work is validated across national infrastructure maintenance contracts.
Every month, Service Stream processes more than one million images submitted from the field. Previously, many of these required manual review to confirm completion and validate payment claims. This process was resource-intensive, time-consuming, and prone to inconsistencies.
Working closely with AWS’s Prototyping and Innovation team, Service Stream developed a solution that leverages Amazon Bedrock and Amazon Rekognition to automate image validation and anomaly detection.
“This solution pushes the boundaries of state-of-the-art AI in a real-world, business-critical setting. We’re doing things that simply weren’t possible a year ago - and doing them responsibly at scale,” said Simon Fisher, Innovation Architect at Service Stream.
The system is capable of processing 800 work orders per hour (27 times faster than human verification) while improving accuracy and reducing errors.
The pilot marks a significant step forward in Service Stream’s strategy to modernise operations through intelligent automation. By reducing manual workloads, teams can focus on higher-value tasks such as exception management and client engagement.
“We see this initiative as an important milestone in delivering greater efficiency, transparency, and consistency for our clients,” said Shehan Arangala, General Manager, Data, Analytics & Insights at Service Stream.
Following successful early testing, Service Stream will expand the pilot across more contracts and explore opportunities to scale the technology further.
Download the full case study on the left.
