From Complex Data to Consistent Outcomes
How Chris Crawford Helps Support Trusted Outcomes Through Test Automation and Quality Engineering
Modernization doesn’t stop when a new capability is deployed.
Systems keep changing. Requirements shift. New features get added. User expectations grow.
For federal programs managing complex benefits workflows, keeping those systems reliable over time is just as important as launching the modernization effort in the first place.
Behind every reliable workflow is a person waiting on a benefit, a decision, or a service they’ve earned.
That challenge is central to the work of Christopher “Chris” Crawford, a Senior Test Automation Engineer on SteerBridge’s Automated Regression Team working with Accenture Federal Services.
Chris supports automated testing efforts across systems associated with Digital GI Bill modernization. His work helps make sure applications continue to perform reliably as they evolve. That means building automation solutions that are scalable, maintainable, and useful to the teams relying on them.
It also means helping teams validate changes more efficiently, identify issues earlier, and deliver updates with greater confidence.
Test automation often happens behind the scenes. But its impact shows up throughout the software development lifecycle.
“When people think about automation, they often think about recording a test and pressing play,” Chris explains. “The reality is that sustainable automation requires thoughtful architecture, maintainability, reporting, and a clear understanding of the problem you’re trying to solve.”
Supporting Reliable Delivery at Scale
Chris’s background includes both manual quality assurance and test automation. That gives him a practical view of what software quality really takes.
Early in his career, he worked with applications that depended on complex data transformations and backend integrations. That kind of work required more than checking whether a screen loaded correctly. It meant validating data, understanding business rules, and troubleshooting issues across multiple systems.
Over time, Chris moved deeper into automation engineering. He became heavily involved in designing modular frameworks, building reusable automation components, and improving visibility into test results through reporting and metrics.
That experience still shapes how he approaches the work today.
For Chris, automation isn’t just about choosing a tool or writing a script. It starts with the larger problem the team is trying to solve.
How do you keep delivering new capabilities while staying confident that existing functionality still works?
That question becomes more important as applications grow, usage increases, and systems become more complex.
In federal environments, the stakes are even higher. These systems often support benefits, services, and decisions that people depend on every day. Reliability isn’t a nice-to-have. It’s part of the mission.
Modernization Requires Sustainability
One misconception Chris sees often is the idea that automation can replace quality assurance entirely.
He sees it differently.
Automation is a force multiplier.
It helps teams run repeatable tests more efficiently and more consistently than manual testing alone. It can reduce burden, improve coverage, and make it easier to spot issues earlier.
But automation doesn’t remove the need for people.
There are still areas where human analysis, exploratory testing, and professional judgment are essential. Someone has to understand what the system is supposed to do, where risk may exist, and whether the results actually make sense.
The same idea applies to modernization more broadly.
Successful modernization is not just about deploying new technology. It’s about building systems that remain sustainable, maintainable, and reliable over time.
Chris is currently helping modernize an automation effort that had been largely untouched for several years while the application itself continued to evolve. During that time, the user interface and application structure changed significantly. Before automation could effectively support the system again, the effort required careful analysis, rework, and rebuilding.
Rather than applying short-term fixes, Chris’s focus has been restoring the automation in a way that supports long-term maintainability and scalability.
That situation reflects a reality many federal programs face.
Modernization is not a one-time event. Systems keep changing long after deployment. Maintaining confidence in those systems takes ongoing investment in quality, validation, and technical discipline.
Technology Supports Human Judgment
Technology Prepares - Humans Decide, reflects a principle Chris believes extends beyond test automation.
As organizations continue exploring AI and other emerging technologies, Chris sees real potential. These tools can improve efficiency, accelerate analysis, and help teams work through complexity faster.
But he is also clear about the limits.
“AI can be incredibly useful,” Chris says. “But it can also confidently produce incorrect results. That’s why validation, oversight, and accountability remain critical.”
That perspective matters in government environments, where systems support benefits, services, and decisions that affect people’s lives.
Technology should assist human expertise. It should not replace accountability.
Responsible implementation requires clear guardrails, thoughtful validation, and an understanding that people and organizations remain responsible for how the technology is used.
For Chris, that is not just an AI principle. It is a delivery principle.
The tools matter.
The process matters.
But trust still depends on people doing the work carefully.
Supporting Trusted Outcomes
At SteerBridge, Chris’s work ultimately supports systems that help Veterans access earned educational benefits.
By improving test coverage, maintaining automation frameworks, validating functionality, and helping teams identify issues earlier in the development lifecycle, he contributes to the reliability and stability of systems that users depend on.
The work may happen behind the scenes, but the purpose is clear.
Support reliable systems.
Reduce risk.
Help teams deliver with confidence.
Because trusted outcomes begin with trusted systems.
