Accelerating digital modernization with AI and human-centered design
Federal agencies are under increasing pressure to modernize—quickly. They must adopt AI, replace legacy systems, improve service delivery, and increase workforce efficiency, all while maintaining compliance and public trust.
Human-centered design (HCD) has long helped agencies reduce risk by grounding modernization in real user needs. The challenge is speed. Traditional HCD cycles often span months, and agencies don’t always have that time.
In our human-centered design work, teams use artificial intelligence to accelerate early research and design while preserving methodological rigor. Research cycles move faster, functional prototypes are developed in days, and user testing begins earlier in the process.
Shifting from traditional discovery to accelerated insight
Historically, modernization efforts relied on extensive interviews, workflow documentation, and requirements gathering. While this approach helped reduce risk, it often delayed progress—months could pass before users had anything tangible to react to.
With AI, teams can accelerate the earliest stages of research and design without abandoning rigor. They rapidly synthesize policy, documentation, and prior research; generate persona and journey hypotheses in hours rather than weeks; and move directly to functional prototypes instead of static wireframes. Usability testing begins far earlier, often within weeks rather than months.
The objective is not to bypass research, but to shift effort away from documentation and toward validating working solutions.
Accessibility and compliance are addressed from the outset. By embedding Section 508 and WCAG standards directly into design systems and prompts, teams can identify potential accessibility issues as interfaces are created—not after the fact.
Applying the approach in practice
When we partnered with the U.S. Department of Commerce to modernize a legacy case management system, the work followed a traditional human-centered design process. Researchers engaged staff across multiple offices, mapped workflows, and designed a centralized platform built on ServiceNow’s Customer Service Management module. The effort took 11 months from discovery through delivery. After implementation, record processing time dropped by 86%.
Today, the early stages of a project like that can move far more quickly. Activities that once required weeks of manual effort—workflow mapping, persona development, and early interface concepts—can now be generated and refined in days. Discovery artifacts that historically took two or three months can often be created within the first week and used immediately to guide design.
For projects similar in scope to the Commerce engagement, a shift to AI-enabled human-centered design can reduce discovery and design timelines by roughly 40% to 60%. Work that once required 11 months can realistically reach the same stage in five to seven months, with most of the time savings coming from compressed artifact creation, workflow modeling, and prototype development—while keeping user validation central to the process.
Prototyping has accelerated as well. Instead of spending weeks creating static wireframes, teams can produce functional prototypes within days, allowing stakeholders and end users to interact with working workflows in the first few weeks of a project rather than waiting several months.
A related lesson emerged in our work with the U.S. Department of Agriculture to modernize applications supporting a federal farm loans program facing a growing backlog. Early research showed that many farmers relied on in‑person conversations with loan officers when navigating the loan process. A purely digital workflow might have increased efficiency but would have removed a trusted interaction farmers depended on.
The final solution balanced modernized digital systems with a service model that preserved those human touchpoints. With AI‑assisted analysis and rapid prototyping, teams can surface and test these tradeoffs much earlier—at the beginning of the design process rather than late in delivery.
Ensuring human judgment remains central
AI accelerates production, but it does not replace human judgment.
Researchers validate insights. Designers refine interfaces. Stakeholders evaluate working prototypes. Accessibility specialists ensure compliance. Users provide feedback throughout the process.
By combining AI with disciplined human-centered design practices, agencies can reduce risk earlier and move from concept to validated prototype in weeks rather than months.
Modernization no longer needs to follow a slow, sequential path. With the right tools and practices, teams can work iteratively and collaboratively—while keeping the people who rely on these systems at the center of the work.
