By David Tam, Executive Vice President, Seneca Resources
Federal agencies are under pressure to modernize their IT systems at a pace they have rarely faced before. While long overdue, this presents challenges for which today’s workforce is frequently unprepared.
Many agencies are still operating with decades-old systems, fragmented data, and technology environments that were never designed for today’s demands. The mandates to improve service, move faster, reduce costs, and do more with fewer people are difficult to achieve. Across the federal market, three themes are emerging again and again: modernization, automation, and consolidation. They are reshaping how agencies think about data, technology, and the talent needed to support both.
Modernization Starts with Data
Many federal agencies still rely on legacy systems that were built years or even decades ago. Some continue to operate on mainframes and use programming languages such as COBOL that few professionals study or understand today.
Those systems often contain critical information, but they are difficult to maintain, integrate, and support as experienced workers retire. As a result, agencies across government are investing heavily in modernization initiatives to migrate applications and data from these legacy systems to cloud platforms such as AWS and Azure.
But modernization is about more than simply moving information from one platform to another. The real challenge is making data usable.
Many agencies have data spread across multiple systems, departments, and formats. Information may exist in different databases, spreadsheets, forms, or paper files. Before agencies can take advantage of cloud
technology, advanced analytics, or AI, they first need to understand what data they have and how to organize it.
“The future of federal technology will be defined by both new tools and which agencies are best prepared to use them.”
That is why data modernization has become such an important part of federal IT strategy. Agencies are increasingly looking for people who can help them:
- Catalog and organize data
- Improve data quality
- Establish governance and standards
- Integrate information across systems
- Prepare legacy data for cloud migration and analytics
Without that work, modernization efforts often stall.
Automation Requires a Strong Foundation
Artificial intelligence is becoming a major priority across government entities.
Part of this shift is being driven by workforce reductions. Agencies are being asked to accomplish more with fewer employees, which means they are looking for ways to automate repetitive and time-consuming work.
But there is a growing misconception that AI alone can solve these challenges. In reality, automation only works when agencies have the right data foundation in place.
One example comes from the Social Security Administration, which has been exploring ways to streamline disability claims processing. Disability claims often take weeks or months to complete because employees must manually review large volumes of medical forms and supporting documentation. The Social Security Administration (SSA) has been working to use machine learning and natural language processing to make that process faster and more efficient.
Before AI could be used effectively, SSA first needed to organize and structure the underlying data. That meant identifying the right information, creating rules for how the system would review documents, and ensuring the data was accurate. This foundational work was an essential activity and holds an important lesson for every federal agency considering automation: If the data is incomplete, inconsistent, or poorly organized, the results will be just as flawed.
Successful automation depends on far more than AI. It depends on the people who understand how to prepare the data, build the structure, and create the conditions that allow technology to succeed.
Consolidation Is Changing the Federal Landscape
At the same time agencies are modernizing and automating, they are also consolidating. This introduces a host of data-management challenges.
For years, individual agencies across the vast federal bureaucracy often operated with their own platforms, systems, and procurement processes. Different organizations might use different HR systems, financial systems, or contract vehicles even when they were solving similar problems.
That is beginning to change as agencies are increasingly moving toward common platforms that can be used across multiple organizations. One example is the broader use of enterprise systems such as Workday to standardize HR and workforce management across agencies.
The same trend is occurring on the procurement side. Rather than maintaining separate contract vehicles for every agency, government organizations are now centralizing procurement and creating shared pathways to efficiently acquire technology and services.
The goals are straightforward: reduced duplication, lowered costs, and enhanced consistency across government. To achieve them is a complex challenge for contractors and technology partners. Those that can help agencies navigate all three forces concurrently will be successful if they understand not only the technology itself but also the broader environment these agencies operate in.
This boils down to knowing how to modernize legacy environments, prepare data for automation, and support agencies as they move toward more consolidated systems and procurement models.
The Agencies That Move Fastest Will Have an Advantage
Federal agencies are not modernizing because it is fashionable. They are modernizing because they don’t have a choice. Legacy systems are becoming harder to maintain, data volumes continue to grow, experienced workers are retiring, and expectations for speed and service are increasing. To put it simply, the old ways of doing business no longer work.
The agencies that move fastest will be the ones that recognize that modernization is a data project as much as it is a technology play. The strongest federal organizations will be the ones that create a clear strategy for how they collect, organize, govern, and use their information. Once that strong foundation is in place, cloud migration, AI, and automation become much more achievable. The future of federal technology will be defined by both new tools and which agencies are best prepared to use them.
