The Challenge
PaySafe, a leading global payments company, needed to rapidly build and scale an AI-driven risk management platform to detect fraud and reduce transaction risk in real-time. The existing engineering teams were small, distributed, and already stretched with BAU (business as usual) product demands. Hiring was slow due to niche skill requirements in Java Full Tech Stack (FTS), AWS cloud consulting, and Data Engineering for AI workloads.
With regulatory timelines looming and transaction risk exposure growing, PaySafe had to move quickly. They needed a partner who could own the hiring, deployment, and ongoing management of specialized engineers—while ensuring delivery timelines were met across multiple global hubs.
Our Approach
Arise TechGlobal partnered with PaySafe to establish a dedicated engineering workforce that would seamlessly integrate with their existing product and platform teams. Our ownership extended from talent sourcing to onboarding, training, and delivery oversight.
Key steps in our approach included:
Agile Workforce Build-Out
Hired and deployed 85+ engineers within four months, including Java Back-End developers, Java FTS engineers, AWS-certified cloud consultants, and Data Engineers.Cloud-Ready Infrastructure Expertise
Designed deployment playbooks for PaySafe’s AWS-based risk engine, enabling engineers to accelerate environment setup and reduce cloud overhead.AI Risk Engine Enablement
Data engineers collaborated with PaySafe’s AI scientists to build real-time data pipelines that handled high-velocity payment streams while ensuring GDPR-compliant storage and retrieval.Governance and Quality
Established an engineering governance layer with sprint tracking, code quality gates, automated CI/CD pipelines, and security-first coding practices.
Outcomes Delivered
Rapid Team Scale-Up
Built an 85+ engineer workforce across multiple skill sets in just 120 days, reducing PaySafe’s projected hiring timelines by over 70%.Accelerated Risk Platform Launch
With the new team in place, PaySafe launched its AI-powered fraud detection platform six months ahead of schedule, mitigating exposure to fraud-related losses.Improved Detection Accuracy
Data pipelines and cloud-optimized models increased fraud detection accuracy by 38% compared to PaySafe’s legacy system.Operational Efficiency
AWS-certified consultants streamlined infrastructure provisioning, cutting cloud operational costs by 22%.
What Worked Well
End-to-End Ownership: From sourcing to deployment, PaySafe had a single partner accountable for outcomes.
Niche Skill Depth: A strong bench of engineers with specialized certifications helped deliver faster.
Embedded Collaboration: Engineers worked as part of PaySafe’s squads, ensuring smooth integration and cultural alignment.
The Challenge
PaySafe, a leading global payments company, needed to rapidly build and scale an AI-driven risk management platform to detect fraud and reduce transaction risk in real-time. The existing engineering teams were small, distributed, and already stretched with BAU (business as usual) product demands. Hiring was slow due to niche skill requirements in Java Full Tech Stack (FTS), AWS cloud consulting, and Data Engineering for AI workloads.
With regulatory timelines looming and transaction risk exposure growing, PaySafe had to move quickly. They needed a partner who could own the hiring, deployment, and ongoing management of specialized engineers—while ensuring delivery timelines were met across multiple global hubs.
Our Approach
Arise TechGlobal partnered with PaySafe to establish a dedicated engineering workforce that would seamlessly integrate with their existing product and platform teams. Our ownership extended from talent sourcing to onboarding, training, and delivery oversight.
Key steps in our approach included:
Agile Workforce Build-Out
Hired and deployed 85+ engineers within four months, including Java Back-End developers, Java FTS engineers, AWS-certified cloud consultants, and Data Engineers.Cloud-Ready Infrastructure Expertise
Designed deployment playbooks for PaySafe’s AWS-based risk engine, enabling engineers to accelerate environment setup and reduce cloud overhead.AI Risk Engine Enablement
Data engineers collaborated with PaySafe’s AI scientists to build real-time data pipelines that handled high-velocity payment streams while ensuring GDPR-compliant storage and retrieval.Governance and Quality
Established an engineering governance layer with sprint tracking, code quality gates, automated CI/CD pipelines, and security-first coding practices.
Outcomes Delivered
Rapid Team Scale-Up
Built an 85+ engineer workforce across multiple skill sets in just 120 days, reducing PaySafe’s projected hiring timelines by over 70%.Accelerated Risk Platform Launch
With the new team in place, PaySafe launched its AI-powered fraud detection platform six months ahead of schedule, mitigating exposure to fraud-related losses.Improved Detection Accuracy
Data pipelines and cloud-optimized models increased fraud detection accuracy by 38% compared to PaySafe’s legacy system.Operational Efficiency
AWS-certified consultants streamlined infrastructure provisioning, cutting cloud operational costs by 22%.
What Worked Well
End-to-End Ownership: From sourcing to deployment, PaySafe had a single partner accountable for outcomes.
Niche Skill Depth: A strong bench of engineers with specialized certifications helped deliver faster.
Embedded Collaboration: Engineers worked as part of PaySafe’s squads, ensuring smooth integration and cultural alignment.
The Challenge
PaySafe, a leading global payments company, needed to rapidly build and scale an AI-driven risk management platform to detect fraud and reduce transaction risk in real-time. The existing engineering teams were small, distributed, and already stretched with BAU (business as usual) product demands. Hiring was slow due to niche skill requirements in Java Full Tech Stack (FTS), AWS cloud consulting, and Data Engineering for AI workloads.
With regulatory timelines looming and transaction risk exposure growing, PaySafe had to move quickly. They needed a partner who could own the hiring, deployment, and ongoing management of specialized engineers—while ensuring delivery timelines were met across multiple global hubs.
Our Approach
Arise TechGlobal partnered with PaySafe to establish a dedicated engineering workforce that would seamlessly integrate with their existing product and platform teams. Our ownership extended from talent sourcing to onboarding, training, and delivery oversight.
Key steps in our approach included:
Agile Workforce Build-Out
Hired and deployed 85+ engineers within four months, including Java Back-End developers, Java FTS engineers, AWS-certified cloud consultants, and Data Engineers.Cloud-Ready Infrastructure Expertise
Designed deployment playbooks for PaySafe’s AWS-based risk engine, enabling engineers to accelerate environment setup and reduce cloud overhead.AI Risk Engine Enablement
Data engineers collaborated with PaySafe’s AI scientists to build real-time data pipelines that handled high-velocity payment streams while ensuring GDPR-compliant storage and retrieval.Governance and Quality
Established an engineering governance layer with sprint tracking, code quality gates, automated CI/CD pipelines, and security-first coding practices.
Outcomes Delivered
Rapid Team Scale-Up
Built an 85+ engineer workforce across multiple skill sets in just 120 days, reducing PaySafe’s projected hiring timelines by over 70%.Accelerated Risk Platform Launch
With the new team in place, PaySafe launched its AI-powered fraud detection platform six months ahead of schedule, mitigating exposure to fraud-related losses.Improved Detection Accuracy
Data pipelines and cloud-optimized models increased fraud detection accuracy by 38% compared to PaySafe’s legacy system.Operational Efficiency
AWS-certified consultants streamlined infrastructure provisioning, cutting cloud operational costs by 22%.
What Worked Well
End-to-End Ownership: From sourcing to deployment, PaySafe had a single partner accountable for outcomes.
Niche Skill Depth: A strong bench of engineers with specialized certifications helped deliver faster.
Embedded Collaboration: Engineers worked as part of PaySafe’s squads, ensuring smooth integration and cultural alignment.
The Challenge
PaySafe, a leading global payments company, needed to rapidly build and scale an AI-driven risk management platform to detect fraud and reduce transaction risk in real-time. The existing engineering teams were small, distributed, and already stretched with BAU (business as usual) product demands. Hiring was slow due to niche skill requirements in Java Full Tech Stack (FTS), AWS cloud consulting, and Data Engineering for AI workloads.
With regulatory timelines looming and transaction risk exposure growing, PaySafe had to move quickly. They needed a partner who could own the hiring, deployment, and ongoing management of specialized engineers—while ensuring delivery timelines were met across multiple global hubs.
Our Approach
Arise TechGlobal partnered with PaySafe to establish a dedicated engineering workforce that would seamlessly integrate with their existing product and platform teams. Our ownership extended from talent sourcing to onboarding, training, and delivery oversight.
Key steps in our approach included:
Agile Workforce Build-Out
Hired and deployed 85+ engineers within four months, including Java Back-End developers, Java FTS engineers, AWS-certified cloud consultants, and Data Engineers.Cloud-Ready Infrastructure Expertise
Designed deployment playbooks for PaySafe’s AWS-based risk engine, enabling engineers to accelerate environment setup and reduce cloud overhead.AI Risk Engine Enablement
Data engineers collaborated with PaySafe’s AI scientists to build real-time data pipelines that handled high-velocity payment streams while ensuring GDPR-compliant storage and retrieval.Governance and Quality
Established an engineering governance layer with sprint tracking, code quality gates, automated CI/CD pipelines, and security-first coding practices.
Outcomes Delivered
Rapid Team Scale-Up
Built an 85+ engineer workforce across multiple skill sets in just 120 days, reducing PaySafe’s projected hiring timelines by over 70%.Accelerated Risk Platform Launch
With the new team in place, PaySafe launched its AI-powered fraud detection platform six months ahead of schedule, mitigating exposure to fraud-related losses.Improved Detection Accuracy
Data pipelines and cloud-optimized models increased fraud detection accuracy by 38% compared to PaySafe’s legacy system.Operational Efficiency
AWS-certified consultants streamlined infrastructure provisioning, cutting cloud operational costs by 22%.
What Worked Well
End-to-End Ownership: From sourcing to deployment, PaySafe had a single partner accountable for outcomes.
Niche Skill Depth: A strong bench of engineers with specialized certifications helped deliver faster.
Embedded Collaboration: Engineers worked as part of PaySafe’s squads, ensuring smooth integration and cultural alignment.
“Our fraud detection platform would not have gone live ahead of schedule without the depth of talent Arise provided.”
Khalid Rahman, Head of Risk Engineering, PaySafe
Get in touch
Ready to ship with confidence?
Tell us your use case and we will propose a two sprint plan within five business days.
Get in touch
Ready to ship with confidence?
Tell us your use case and we will propose a two sprint plan within five business days.
Get in touch
Ready to ship with confidence?
Tell us your use case and we will propose a two sprint plan within five business days.
