Speed Matters, But Trust Moves Faster: Lessons from the Front Lines of Federal Modernization   By Wendy Myers 

Signals Worth Paying Attention To 

Each year, the Imagine Nation Executive Leadership Conference, hosted by the American Council for Technology and the Industry Advisory Council (ACT IAC), gives me a useful snapshot of how federal agencies are adapting and what that means for the people and partners supporting the mission. I attend not just to see friends and hear what is new, but to understand what is actually working and where leaders are feeling pressure. 

This year was no different. The conference offered a clear view of what is changing and what still holds steady as agencies modernize, rebuild capacity, and respond to shifting priorities. Across sessions, the strongest insights were practical and operational. They focused less on bold statements and more on the conditions that make progress possible: disciplined preparation, clear problem framing, trust built through follow through, and solutions rooted in real customer needs. 

Taken together, the discussions pointed to a consistent thread. Tools and structures matter, but outcomes hinge on how people make decisions, align expectations, and execute in real operating conditions. The reflections below capture the ideas that felt most transferable, both for leaders inside government and for partners working alongside them. 

Taking the Turn: What a NASCAR Driver Knows About Federal Leadership 

One of the most memorable perspectives came from Julia Landauer, a Stanford educated NASCAR driver, who spoke about leadership in high pressure, uncertain environments. Her message was simple and resonant: leadership shows up long before any big decision. It shows up in how leaders prepare, how they respond when conditions change, and how they hold themselves accountable. 

Several themes from her remarks translate directly to federal leadership: 

  • Leaders set the tone. Like a driver staying calm when the track changes, federal leaders keep their teams steady when conditions shift. 
  • Preparation reduces risk. Just as a race team tunes the car before race day, leaders who do the upfront work create confidence and reduce avoidable surprises when the stakes are high. 
  • Sustained performance takes self-coaching. Drivers adjust constantly based on what they are seeing and feeling. Strong leaders do the same by checking assumptions and course correcting in real time. 
  • Clear expectations keep teams aligned. A pit crew works because everyone knows their role. Federal teams move faster when priorities, responsibilities, and handoffs are explicit, especially during new roles or major initiatives. 
  • Ambitious goals require stretch. Like taking a calculated risk to gain position, leaders often have to push through the uncomfortable early phase of change before results show up. 

One question Landauer posed stayed with me: “Why not?” It is a simple way to test hesitation. If the only thing holding you back is uncertainty about the outcome, not a real constraint like authority, resources, or risk, then the work is to choose a direction and take the first concrete step. 

Leaders who operate this way create better conditions for sound decisions, faster progress, and stronger mission outcomes. 

AI Isn’t the Decision-Maker, You Are 

AI came up in nearly every modernization discussion, but the message from the conference was consistent. Tools may support the work, but they are not replacing human judgment or accountability. 

Several themes stood out around keeping people firmly in the loop: 

  • Use AI to support follow up, but keep humans accountable for closing the loop. Prompt responses build trust with partners. 
  • Automate tasks, not judgment. AI cannot fix a bad problem statement or misaligned assumptions. Program and acquisition outcomes still depend on human decisions. 
  • Use AI to surface patterns and options, but start with listening. Good discovery leads to clearer requirements and smarter technology choices. 
  • Scale what works, not what is easiest. AI enabled solutions succeed when people validate they reflect real user needs. 
  • Treat workforce rebuilding as a reset. AI can reduce administrative burden and modernize workflows, but only if leaders resist recreating inefficient processes in new tools. 

At GovAllies, we see AI creating the most value when it handles the work people should not have to do, such as scanning data, identifying patterns, and testing options. That support frees acquisition and program teams to focus on what matters most: listening carefully, framing the right problem, and staying aligned through delivery. 

Shared Services That Work: The Trust Problem Nobody Talks About 

The shared services discussion reinforced a challenge many agencies are actively navigating. Leaders are being asked to increase efficiency and consistency through shared tools and functions, without compromising the mission specific capabilities that make their organizations effective. 

Consistency matters, but a single system rarely fits every need. Shared services work best as a usable set of common solutions, not a one size approach. Standardization also takes time, in part because it requires teams to give up some control. That shift is not just technical. It depends on trust. 

Trust grows when systems are reliable and communication is steady, clear, and honest. The goal is not one system for everything, but a shared foundation that still gives teams enough flexibility to operate effectively. 

The bottom line was clear. Shared services succeed when leaders keep mission needs front and center, involve stakeholders early, and build in room for teams to deliver within their own operating environments. 

CX Without the Buzzwords: What Customers Actually Need 

During the Transforming Service Delivery panel, a question was raised about whether customer experience is losing relevance. The answer was direct: CX matters when it is tied to real problems and measurable outcomes. 

From the customer’s perspective, labels do not matter. Whether the work is called CX, knowledge management, or organization development, what matters is whether the issue is resolved. Customers will have an experience whether agencies intentionally shape it, and when that experience is unmanaged, friction and costs increase. 

The strongest examples shared came from teams that looked at policy, process, people, and technology together, rather than treating CX as a standalone effort. Measuring before, during, and after interactions turned good intentions into repeatable results and reduced surprises later in delivery. 

What Federal Leaders Really Want from Their Partners (Hint: It’s Not Just Innovation) 

Federal leaders were clear about what they expect from private sector partners. The call was not just for more innovation, but for deeper mission understanding and stronger execution. 

Partners are expected to do the homework by demonstrating a real grasp of the mission, operating context, and constraints agencies face. Leaders emphasized the value of concrete examples that show how similar challenges were addressed and what was learned along the way. 

Transparency also matters. Being upfront about limits, risks, and what it will take to implement a solution builds credibility and prevents misalignment later. The solutions that resonate most reflect real world complexity, including the interplay between policy, process, technology, and people. 

Partners who show up this way build trust faster. They arrive prepared, stay focused on mission needs, and work alongside agencies to shape solutions that hold up in real operating conditions. 

The Work Ahead: When Discipline Enables Disruption 

Across every discussion, the same message surfaced again and again. Lasting progress comes from doing the fundamentals well. When leaders prepare with discipline, teams stay focused on the real problem, and partners show up with clarity and follow through, agencies move faster with fewer surprises. 

AI, shared services, and service delivery approaches will continue to evolve. The standard for success does not. Keep mission needs at the center, stay honest about constraints, and build trust through execution.