From Keeping the Lights on to Keeping Pace with Purpose

Government agencies tasked with operating large information technology (IT) systems are embracing a Human-Centered Design (HCD) approach to maintenance and operations (M&O). Innovation and HCD are no longer reserved for large-scale modernization efforts. Instead, they are embedded into the fabric of day-to-day system operations. By treating innovation as a core operating capability rather than a series of one-time initiatives, organizations can deliver effective outcomes for end-users, keep pace with a rapidly changing environment. This allows organizations to make forward progress with lower risk, lower cost, and insight into return on investment (ROI). In this model, maintaining technology isn’t just about stability, it’s about sustaining value and system longevity—for employees, for constituents, and for the mission—through constant, intentional improvement.

Organizations that keep pace with purpose don't rely on episodic modernization alone. They build the capabilities to continuously learn from users, make disciplined investment decisions, deliver iteratively through cross-functional teams, and sustain innovation through governance and portfolio management. The following practices illustrate how organizations can begin making this operating model shift towards innovation today.

Don’t just maintain systems: embed innovation to learn, evolve and improve

Maintenance can no longer be only about preserving systems—it should become a continuous capability for improving them.

Organizations making this shift have reframed their approach from doing only what’s necessary, or keeping the lights on, to a growth mindset of continuous innovation called keeping pace with purpose. They have taken actionable steps to embed HCD and innovation operations into day-to-day system processes rather than treating it as a separate or point-in-time initiative. By incorporating user feedback, operational data, and emerging technologies into routine decision-making, organizations strengthen system capabilities, improve efficiency, and continuously evolve their platforms to meet changing mission needs and user expectations.

This approach can prepare program, system and IT managers with the ability to continuously prioritize and deliver meaningful enhancements, adapt more quickly to changing business and policy needs, reduce risks and long-term costs, and generate measurable returns on investment. In this model, maintenance focuses on continuously evolving the system to effectively serve users, strengthen mission delivery, and enhance the value of technology investments over time.

This shift is particularly important in government, where organizations navigate shifting policy and administrative complexities. When technology systems are unable to adapt, consequences show up as delays, confusion, and instability for basic human needs and lifesaving programs—resulting in the potential for a loss of public trust.

For decades, many organizations have concentrated technology investment in large, episodic modernization efforts rather than continuously seeking user input to improve systems over time. These transformations may be necessary, but they can also be expensive, complex, and slow to implement. 

The COVID-19 pandemic made the cost of that approach visible. Surges in unemployment claims, healthcare inquiries, and demand for essential services pushed legacy systems beyond their limits. Organizations scrambled for emergency fixes, patches and temporary workarounds—because modernization couldn’t move at crisis speed. Today, a similar sense of urgency surrounds emerging technology, especially agentic artificial intelligence (AI), and the pressure on organizations to add AI is accelerating. Layering AI on top of legacy workflows alone won’t produce transformation. The value of AI comes when organizations start to redesign underlying workflows, modernize the service experience, and establish operating discipline around their innovation practices to keep technology at pace with the mission needs. Innovation, with purpose and design, can accelerate the mission rather than distracting from it. It should be driven by user needs–not emerging technologies. 

Innovate with purpose: make innovation a discipline, not a reaction 

Innovation should be driven by user needs and disciplined operations—not emerging technologies alone.

Continuous innovation begins with adopting a new mindset—but sustaining it requires organizations to be intentional about where and how they innovate. The goal isn’t to chase trends. In practice, HCD research drives organizations to identify the root cause of an issue, defining the problem correctly allows organizations to build effective solutions, instead of building technology in search of a problem.

Organizations can re-shape day-to-day operations to incorporate ongoing HCD research. With user insights from qualitative and quantitative data, organizations can create decision-making frameworks that balance user needs along with policy requirements and technology feasibility. User insights can also inform prioritization of funds, reduce investment uncertainty, and increase ROI because decisions are based on a wider range of inputs, backed by user data.

Customer experience platforms and AI are accelerating this process with website usage and text analytics, along with research assistant tools that support teams with hypothesis generation and drafting backlog items.

Sustained research also helps organizations stretch investments by revealing needs for a range of interactions that systems must support, including niche populations and edge cases that are often overlooked and/or misunderstood. In environments where services need to work for everyone, continuous learning becomes a strategic advantage. When organizations design for users at the edge, they can extend the benefits of design features across users. 

Without HCD research, organizations lack the inputs to inform desirability which enables cross-functional teams to reach a balanced breakthrough. The Balance Breakthrough Model is a tool organizations can use to assess if an idea can become an effective innovation:

Organizations should balance three competing dimensions when deciding which ideas to pursue and how to solve for them. The Balanced Breakthrough Model provides teams with a practical framework for evaluating desirability, feasibility, and viability before significant investment is made. Once organizations know where to innovate, the next challenge is building momentum without waiting for large-scale transformation. 

Start where you are: build momentum through small, strategic wins 

Begin small, demonstrate value, and build confidence.

Sustained, mission-driven innovation doesn’t require a massive starting point. Scale does not define effectiveness, and sustainable change rarely happens overnight. What matters is adopting an incremental approach: take small, strategic steps that build capability, reduce risk, and create durable momentum.In practice, that means focusing on HCD research, rapid prototyping, and contained pilots that fit within operational constraints. These tactics create momentum by making progress visible, learnings actionable, and risk manageable—so teams can deliver improvements while building the muscle for continuous innovation:

1. Focused HCD research can pinpoint high-friction moments and unmet needs, turning broad goals into a short, evidence-based backlog of improvements teams can start immediately. 
2. Rapid prototyping allows teams to test concepts in days, not months, with real users and frontline staff, enabling the ability to quickly modify what doesn’t work and refining what does, before investing heavily. 
3. Contained pilots can demonstrate value in a real operating environment with clear achievement measures and guardrails, creating reusable patterns and stakeholder confidence to scale the next small win.

These actions translate broad objectives into achievable steps where teams can learn quickly, improve continuously, and build confidence through evidence.

Today’s emerging technology increasingly makes continuous innovation scalable. Teams are already using these tools today and as these tools mature, organizations can take steps towards the first stages of the Infinite Innovation Loop. You can learn more about this in our companion Deloitte Insights article, “Infinite Innovation”. We describe a future with self-improving government systems, where an HCD approach still serves as the foundation of innovation. The Infinite Innovation Loop starts with continuous user research to help organizations sense friction before it becomes crisis; disciplined HCD and ideation shape solutions grounded in evidence rather than assumption; and rapid prototyping with Digital Twins and synthetic users allows teams to simulate outcomes before committing resources. The remaining stages, scale and sharpen, follow when organizations deploy incrementally and measure continuously, feeding what they learn back into the next cycle of sensing.¹

The key is to begin building a foundation for continuous innovation now, through end-user research and rapid prototyping to learn, test, and refine – building into operations, incremental change. 

Deliver value through modern delivery: cross-functional, iterative, user-led

Launch is the beginning of learning, not the end of delivery.

Modernizing government services requires integrated delivery across HCD end-user research, end-to-end design, engineering, and deployment. Siloed operations slow decision-making and weaken outcomes. Resilient transformation depends on ongoing collaboration, iterative methods, and an unwavering focus on user needs.

Whether an organization primarily uses Agile delivery or waterfall, the path forward is the same: staff cross-functional teams, embed user-research into operations, embrace rapid prototyping, and utilize AI to get there faster. Agile teams can adjust designs and functionality as user needs and insights emerge. Waterfall teams can use user insights to inform requirements, adapt designs and inform the product backlog before launch to avoid building the wrong thing well. In both cases, the result is the same: technology aligns to mission effectiveness and is validated by real user insights before go-live. 

While a growth mindset and HCD are at the foundation of delivery, this approach goes beyond prioritizing the research. It acknowledges the importance of having the right team at the table, challenging the traditional staffing model that rewards quick decision-making by a few, and promotes healthy cross-functional conversations that work through strategic tensions to arrive at a solution. HCD approaches rely on cross-functional collaboration which takes discipline, structure, and the right facilitation approach. Teams should learn to embrace ambiguity, and leaders should learn to allow teams to iterate within a set of parameters. Leaders no longer dictate how the solutions should work, rather what pain points they aim to prioritize.  

Imagine users have distinct needs and they experience adaptive, personalized interfaces, multilingual and multimodal assistance, and options like tailored text-to-speech, sign-language video, or an AI Avatar Guide—while continuously surfacing which friction points remain, so the backlog reflects the needs of people with diverse abilities and contexts. 

When it comes to the SDLC, a balanced set of stakeholders (including end-users) validates requirements and designs before development begins. The same group of stakeholders continue to stay engaged through development and deployment to provide input and feedback to maintain a balanced breakthrough. This approach reduces risk, demonstrates value early, and accelerates learning before scaling. The process doesn’t end there. Just because the solution is effective at the time of go-live doesn’t mean organizations should stop keeping a pulse on how that solution meets needs over time. Launch is no longer the finish line, rather the start of a measured cycle of monitoring, learning and enhancement. To make these practices endure beyond individual projects, they must become part of an organization’s governance and operations.

Make innovation sustainable: build it, govern it, run it like a portfolio, together

Innovation becomes sustainable only when it becomes operational.

Sustainable innovation in government digital products requires more than isolated achievements. It’s a deliberate approach embedded across teams, processes, and lifecycles. Three practices make the difference: disciplined innovation operations and governance, cross-functional staffing and collaboration, and a program/portfolio mindset that learns, adapts, and reinvests.

• Innovation operations and governance is the set of processes, policies, roles, and tools that manage and nurture innovation across the development lifecycle, involving cross-functional teams. It prevents progress from being dependent on select individuals and enables continuity through change.
  • At the center is the technology system vision and product roadmap: not just a list of tasks, but a shared articulation of the goal the organization is working toward, paired with clear goals and a backlog of user-informed, system and operationally vetted priorities. Importantly, the roadmap is continuously referenced and updated—not filed away after planning. 
• Cross-functional collaboration extends beyond a shared goal and should be reflected in how projects are set up. For example, cross-functional analytics can break down silos: when HCD research, engineering, operations, and maintenance teams share data openly and review it together, they build a shared understanding of reality—improving prioritization, accelerating decisions, and building trust in outcomes.
  • Organizations can utilize the knowledge and talents of their staff for more effective outcomes 
  • Designers, researchers, developers, security, policy specialists, and content strategists—coming together, rather than working in silos, can unlock ideas and approaches that would likely have otherwise been missed.
• Future-ready digital government requires a portfolio mindset – not just a sequence of reactive projects. With this mindset, teams regularly assess value, retire what no longer serves users, and reinvest in what does. This is a disciplined stewardship of mission outcomes. 

Together, these practices create resilience: systems and teams that don’t just keep up with change but can shape it—delivering lasting value for the mission and the people served. The opportunity is now—and the entry point is smaller than many organizations think. Sweeping reform and mandates aren’t required to begin implementing disciplined innovation operations and governance that will ultimately help organizations spend smarter in line with mission effectiveness.

Progress starts with smart wins: investments in equitable user research, requirements based on user insights, strategic roadmaps, prototyping and pilots, and measurable improvements that build organizational confidence and capability.

How to get started

Achieve continuous innovation by establishing governance, staffing cross-functional teams, and managing your system like a portfolio of strategic investments. 

At Deloitte, we support public sector clients to rethink how they build, run, and evolve critical technology systems—moving fast where it matters, reducing risk where it counts, and delivering outcomes that seek to meet leadership goals and public needs. We are versed in adapting innovation governance and applying disciplined operations. We start within existing organizational structures and create a culture for innovation. This sets the foundation for organizations to effectively adapt to long-term technological advancements and continuously keep the pace with purpose. 

Questions to ask to get started in your organization: 

1. Does my organization have ongoing and unbiased ways to obtain insights from our users about their needs, friction points, and experiences today? 
        o Is my organization incorporating user voices into our requirements for enhancements? 
        o Is my organization thinking about innovation strategically? 
2. Does my organization understand the portfolio of investments being made across policy, user experience, and maintenance? 
3. Does my organization have innovation-focused operations and governance in place to set standards for our technologies in a way that… 

• Users expect based upon industry experiences.
• Is flexible enough for the rapidly changing technology environment.
• Gives us insights into the next 5, 10, and 15 years of investments that my organization aims to make. 

 What next steps can look like (simple, actionable, start now):

• Identify your organization’s innovation champions and executive sponsors – you need both.
• Educate teams on human-centered design and cross-train your delivery teams to manage uncertainty and user feedback loops throughout requirements and design phases. 
• Identify small strategic areas to make an investment in continuous user research, to fuel a backlog of insights and project ideas – then scale up from there. 
• Assess delivery structure and create cross-functional teams who can come together to allow for the appropriate tension and conversation when making design decisions.

In closing: taking steps towards infinite innovation

Sense, Shape, Simulate, Scale, Sharpen. 

Government agencies have spent decades learning how to keep systems running. Following the latest trend towards modernization, it’s time for organizations to learn how to keep systems evolving. Keeping pace with purpose requires effective ways of working: listening to users continuously, using cross-functional teams to act on what is learned, and applying disciplined operations and governance to quickly move from insight to action. These practices enable continuous innovation, allowing organizations to efficiently and effectively respond to policy changes, economic shifts, evolving user needs, and technological advances. 

The practices also set the foundation to unlock Infinite Innovation—a future enabled by AI. As AI evolves and, specifically as agentic AI matures, it is critical that organizations operate with a growth mindset, flexible to changes, and have practiced evolving workflows. Deloitte sees a future where continuous innovation transitions to Infinite Innovation—a self-improving cycle organized around five capabilities. Sense: AI tools and embedded research detect user friction and emerging needs in real time, before they surface in complaints or formal reviews. Shape: cross-functional teams and disciplined HCD translate those signals into prioritized, evidence-backed solution concepts. Simulate: Digital Twins and synthetic users let organizations pressure-test designs in safe environments before they reach the public. Scale: agentic AI agents accelerate build, launch, and deployment, compressing timelines without sacrificing quality or oversight. Sharpen: continuous measurement and real-user feedback refine what was built, feeding directly back into the next cycle of sensing.

Endnotes:

¹Alan Holden, William D. Eggers, Meghan Sullivan, Courtney Brett, and Kevin Almerini, “Infinite Innovation: Building Self-Improving Systems in Government,” Deloitte Insights, May 28, 2026.

Acknowledgements:

Design and Graphics: Natalie Moey

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