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A digital transformation strategy is an outcome-led plan to change how an organization serves people and operates by coordinating processes, technology, data, governance, and workforce skills over time. For U.S. organizations, federal reports offer concrete examples of modernization, cloud services, generative AI, immersive technology, and shared services—but they do not establish a single best technology stack or prove that digitalization automatically saves money.
What does digital transformation look like in the United States?
Digital transformation is broader than buying software or moving a system to the cloud. It connects a defined service or operating goal to the processes, systems, information, safeguards, and people needed to achieve it. The strategy also has to account for how changes will be introduced, measured, and maintained.
The strongest examples available here concern federal agencies, not a representative survey of U.S. businesses or every public sector. Government Accountability Office (GAO) reports are useful evidence of specific agency activities and implementation challenges; they should not be read as proof that the same approach or result will apply to every organization.
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Where are U.S. organizations applying digital transformation?
Modernizing aging systems
Replacing or remediating legacy technology can address systems that are difficult to maintain, integrate, or secure. In 2025, GAO selected 11 federal IT systems most in need of modernization from 69 systems nominated by agencies. Eight used outdated programming languages, four had unsupported hardware or software, and seven had known cybersecurity vulnerabilities. Some selected systems were decades old. The public report uses numeric labels instead of sensitive system names. (GAO, Legacy IT Systems, GAO-25-107795, July 17, 2025.)
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The scale of federal maintenance is also relevant context, not a measure of the U.S. digital-transformation market: agencies reported more than $100 billion annually in federal IT and cyber-related investment, with about 80% typically going to operations and maintenance. (GAO-25-107795.)
Using cloud services where they fit
Cloud services can provide shared computing resources, but a migration should follow an assessment of the workload, security needs, dependencies, and lifecycle costs. In a 2019 review, officials from 15 of 16 agencies GAO examined reported significant benefits from cloud services. GAO also found that agencies did not consistently track savings, so those reported benefits are not audited net savings or evidence that every migration succeeds. (GAO, Cloud Computing, GAO-19-58, April 2019.)
Applying generative AI to bounded tasks
GAO found 32 generative-AI use cases in 2023 and 282 in 2024 among 11 selected federal agencies that had inventories—an approximately ninefold increase in that selected group, not a count for all agencies or U.S. organizations. Reported examples included writing and information-access support, tracking program status, Veterans Affairs efforts to automate medical-imaging processes, and Health and Human Services work to extract information from publications to identify possible poliovirus outbreaks in areas previously thought polio-free. These are use cases or efforts; the report does not establish that each produced improved outcomes. (GAO, Generative AI, GAO-25-107653, July 2025.)
Using immersive technology for training, care, and visualization
Immersive technologies, including augmented and virtual reality, can support tasks that benefit from simulation or spatial visualization. In fiscal years 2022–2023, 17 of 23 civilian agencies GAO surveyed reported immersive-technology activities, and 13 reported benefits. Common uses included workforce training and public outreach. VA also used virtual reality in clinical contexts such as mental-health treatment, rehabilitation, and pain management. These are reported activities and benefits, not a guarantee of clinical or operational results in other settings. (GAO, Immersive Technologies, GAO-24-106665, August 2024.)
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Sixteen civilian agencies reported plans to expand immersive-technology activities during fiscal years 2024–2028. GAO described possible applications including data visualization, design, planning, outreach, and remote collaboration; the plans are not evidence that every activity was completed.
Consolidating common services
Shared services consolidate common mission-support functions, such as payroll or travel, through designated providers. The intended value is less duplicated infrastructure and potentially more efficient operations. GAO’s 2026 federal shared-services report highlights adoption barriers and leadership gaps, so consolidation needs accountable sponsors and a transition plan rather than an assumption that sharing itself produces savings. (GAO, Federal Shared Services, GAO-26-108014, February 2026.)
What benefits can a transformation strategy deliver?
When a change is suited to the mission and implemented well, reported or potential benefits include improved customer service, more cost-effective IT service management, better access to information, stronger support for mission delivery, workforce training, clearer understanding of data, and less duplication. These outcomes differ in evidentiary strength: a planned benefit is not the same as an observed agency-reported benefit, and neither automatically establishes verified net savings.
Federal IT investment figures help explain why transformation often involves changing the cost and risk of maintaining existing services, not just adding new capabilities. GAO’s 2025 figures on spending and operations and maintenance are federal context only; they should not be generalized to private companies or treated as proof that a particular modernization will reduce costs.
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What are the main risks and failure points?
- Security exposure: Outdated systems, unsupported components, and known vulnerabilities can leave essential services harder to protect. Modernization itself can also create transition risks if security and continuity controls are not maintained.
- Weak delivery planning: Incomplete plans can contribute to schedule delays, cost overruns, or project failure. GAO stated in GAO-25-107795: “Until agencies fully document modernization plans for critical legacy IT systems, their modernization initiatives will have an increased likelihood of cost overruns, schedule delays, and overall project failure.”
- AI governance lag: Policies and privacy controls can fall behind as tools and use cases evolve. Generative AI also raises risks involving misinformation and national security; a promising task does not remove the need for review, access controls, and accountable human oversight.
- Immersive-technology overhead: Cybersecurity and privacy requirements, as well as high operations costs, can outweigh value where a simpler method would meet the need.
- Unverified savings: Without a consistent baseline and cost-tracking method, organizations may be unable to tell whether a cloud migration or shared-service change actually reduced total costs.
How should an organization plan a digital transformation?
The following planning sequence applies the lessons in GAO’s modernization work to a broader organizational strategy. It is a practical synthesis, not a GAO-prescribed scoring system.
- Define the outcome. Start with a service, mission, or operating result—such as shorter processing time, improved access, or more reliable service—rather than selecting a technology first. Record the current baseline so improvement can be tested.
- Map the current environment. Inventory systems, data dependencies, security and privacy obligations, vendors, workforce skills, and operational constraints. Identify critical interfaces and what cannot be interrupted.
- Compare realistic options. Evaluate mission and customer value, security and privacy exposure, integration dependencies, lifecycle costs, workforce capacity, delivery time, service continuity, accessibility, and measurable outcomes. Include the option of improving an existing process without adding a new platform.
- Sequence work into governed stages. Set milestones, describe the work required, name accountable owners, define decision points, and establish rollback or continuity plans. For a legacy-system modernization, state how the old system will be disposed of. These are core elements GAO identifies for modernization plans.
- Measure actual results. Define benefit measures and cost categories before deployment. Track actual delivery and operating costs against the baseline, and distinguish realized outcomes from forecasts. Do not book projected savings as savings already achieved.
Where are the long-term opportunities?
The durable opportunity is not a particular technology category; it is a measurable improvement that remains useful and governable after deployment. An organization can prioritize opportunities by pairing each with a specific outcome, a responsible owner, a risk control, and a measurement plan.
- Retire vulnerable legacy systems where replacement or remediation can measurably reduce security exposure or improve service reliability. Track vulnerability status, continuity, and the cost of running the replacement alongside the old system until retirement is complete.
- Make digital services more accessible and reliable by tying design changes to service completion, availability, and user access measures, with a named service owner responsible for resolving failures.
- Use AI for appropriate information and workflow support where there is a defined task and a reviewable result. Assign an owner for privacy, security, and output oversight, and measure task quality and operational impact rather than counting pilots.
- Apply immersive tools selectively when simulation or spatial visualization can serve a clear training, care, planning, or outreach need. Compare their ongoing operating and safeguarding requirements with the value measured for that use.
- Reduce duplicated mission-support infrastructure through shared services when service quality, transition feasibility, and full lifecycle costs support consolidation. Measure service performance and actual costs after transition.
None of these opportunities supports a universal return-on-investment figure or a ranking that holds for every organization. The right long-term portfolio depends on mission needs, existing systems, risk tolerance, workforce capacity, and evidence of results.
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