Orion partnered with a global digital intelligence provider to modernize core platforms, scale engineering, and integrate AI/ML, DevOps, and security capabilities. The initiative accelerated time-to-value and laid the foundation for an AI-powered analytics platform.
A global leader in digital intelligence solutions serving security and intelligence agencies was looking to transform its core intelligence platforms. They wanted to take advantage of advances in AI and data analytics to add more sophisticated capabilities that enable intelligence and law enforcement agents to better identify and prosecute criminal activities.
Challenge
The client faced multiple challenges:
- Legacy platforms unable to support agile operations and new feature delivery
- Scaling development teams while conforming with strict residency and security regulations
- Integrating AI/ML, security, and DevOps practices into existing product workflows
Delivering measurable value quickly via iterative, agile execution
Solution
Orion implemented an end-to-end modernization program through:
- Agile PODs: Cross-functional teams aligned to digital intelligence platform’s product lines as PODs.
- Rapid Talent Acquisition: Large team of specialized engineers able to obtain government security clearance, onboarded in under 8 weeks.
- Embedded Governance & Delivery Incentives: Transparent planning, shared accountability, and outcome-linked commercials to ensure value and alignment.
Impact
Orion is modernizing the client’s mission-critical platforms under strict regulatory constraints while maintaining speed, security, and strategic alignment. Each POD owns development, quality, and deployment, enabling fast, iterative delivery. Filling 95% of critical roles in under 8 weeks kept modernization on track, while modular AI-enabled cloud-native components continue to be developed. These efforts are enabling a comprehensive AI-powered analytics platform capable of ingesting multiple media types, correlating events to identify patterns, and produce advanced reporting—demonstrating Orion’s ability to deliver complex transformations in regulated environments.
Testimonial
“I was initially concerned about the challenge of staffing this high number of roles with stringent residency requirements—but the Orion team rose to the challenge and exceeded expectations.”
– Executive Sponsor, Digital Intelligence Provider
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Telecom, Media & Technology
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Industries
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Your questions,
answered.
Digital intelligence platform modernization upgrades legacy systems to support faster delivery, stronger security, and advanced analytics. It helps organizations use AI, cloud-native components, and agile development to improve mission-critical operations.
Modernization is important because legacy intelligence platforms may not support rapid feature delivery, advanced analytics, or strict security needs. Updating these systems helps agencies process complex data and respond faster.
Agile PODs are cross-functional teams responsible for development, quality, and delivery. They help modernization programs move faster by aligning engineering work with specific product lines and measurable outcomes.
AI-enabled intelligence platforms can ingest multiple media types, identify patterns, and support advanced reporting. This helps analysts and investigators make faster, more informed decisions in complex data environments.
An organization should modernize when legacy platforms limit agility, security, scalability, or analytics capabilities. This is especially important in regulated environments where teams must deliver innovation without compromising compliance.
Security clearance is important when teams work with sensitive government or intelligence systems. It ensures that engineers meet access requirements and can contribute to secure, compliant platform modernization.
Cloud-native architecture supports digital intelligence by making systems more modular, scalable, and easier to update. It helps teams add AI, analytics, security, and DevOps capabilities more efficiently.
Modernization improves time-to-value by using agile teams, modular development, and iterative delivery. This allows organizations to release useful capabilities faster while continuing to improve the platform over time.