AWS Cloud Enterprise Strategy Blog
Breaking Through Bureaucracy: A Leader’s Guide to Establishing Your First Autonomous Team
Your enterprise may be successful today, but market dynamics are rapidly evolving. To thrive tomorrow, you need to innovate faster, get closer to changing customer needs, and respond with greater agility. Yet your traditional operating model—built for stability and scale—is at odds with these imperatives. Hierarchical approvals, functional silos, and complex dependencies may provide control and alignment, but they slow down the teams charged with driving innovation.
Resetting the organizational balance between alignment and autonomy is difficult and can be disruptive. But the cost of inaction is too high. The key is to begin by creating pockets of autonomy within your current structure as you begin your efforts to balance control with the speed and adaptability modern markets demand.
Start Small
Beginning with a single autonomous team offers three advantages:
- It sets up a controlled environment to learn what works in your specific context. Every organization has unique cultural elements and constraints that affect how autonomy should be implemented.
- It lets you demonstrate results quickly, building credibility and momentum for broader change. Executives who attempt to change everything at once often face resistance before they can show results.
- It reduces risk. You can make changes within a limited scope before applying them to the whole organization.
Select Your First Initiative
To improve the pilot team’s chances of success, focus on opportunities with these characteristics:
Customer-Facing Impact
Select an initiative that affects customer experience rather than internal operations. Working on customer needs means adapting quickly to their feedback, which helps your organization become more flexible and responsive to what the market wants. When this approach succeeds, it creates stronger proof that your method works.
Meaningful but Bounded Scope
The initiative should matter enough to gain executive attention but remain narrow enough for a small team to own end to end. Instead of “Reimagine our entire onboarding experience,” choose “Reduce time to first value for new customers.”
Limited Dependencies
Assess how many other teams or systems must change to deliver results. Fewer dependencies give your autonomous team greater control over their success.
At AWS, we treat dependencies as defects—obstacles that limit a team’s ability to operate independently. They aren’t just coordination points but constraints on team autonomy and speed. When evaluating potential initiatives, count every external dependency as a risk factor that must be actively managed or eliminated.
Choose Your Team Leader
A single-threaded leader (STL)—the term used at AWS for a leader with singular focus and full decision rights—is the driving force behind an autonomous team. Unlike traditional managers who coordinate across multiple initiatives or navigate matrix reporting structures, the STL focuses on one outcome, owns all decisions related to achieving it, and is held solely accountable for results. Appointing an STL eliminates the diffusion of responsibility that often slows decision-making in traditional structures.
When selecting your STL, prioritize judgment and drive over specific technical expertise. Look for someone who consistently delivers results despite challenges. The most effective STLs demonstrate strong customer empathy, make decisions with incomplete information, and navigate organizational complexity without becoming entangled in office politics. Choose someone who has earned the trust of senior leadership through their track record of sound judgment and organizational awareness—you’ll be delegating significant decision rights to this person.
An STL is different from a traditional project manager. They don’t just track progress and coordinate activities—they make substantive decisions about direction, prioritization, and resource allocation. Communicate this distinction clearly when appointing them.
Empower your STL with explicit authority. Tell functional leaders whose teams will contribute members to this initiative that the STL will direct their team members’ work. Make it clear that you expect those leaders to support the team’s autonomy; they shouldn’t try to control it through their reporting lines.
Build the Team
Autonomous teams need all the necessary skills and tools to complete their work without depending on others. Assemble a small team—typically 5-7 people—who collectively possess the skills to design, build, and deliver value to customers.
Focus on versatility over specialization. Team members should be willing to contribute outside their core expertise and must be comfortable with ambiguity. The most effective contributors demonstrate a strong ownership mentality. They take responsibility for outcomes, not just their assigned tasks.
During selection conversations, be transparent about what makes this team different. Explain that team members will have greater decision-making authority but also greater accountability for results. Not everyone thrives in autonomous environments, so look for people energized by this opportunity rather than anxious about it.
Create Effective Operating Mechanisms
Autonomy doesn’t mean letting teams run amok with zero direction. Replace bureaucratic controls with guardrails that help people make decisions faster while meeting the organization’s objectives. You want mechanisms that provide guidance without constraining the team’s creativity.
Break Down Functional Silos
Functional metrics often create competing priorities that slow teams down. Instead, establish common measures tied directly to customer value—satisfaction scores, adoption rates, or business outcomes. This shared accountability helps team members aim for overall success rather than their functional metrics.
Where specialized expertise is needed (security, compliance, finance), assign dedicated partners to the team. These partners attend key meetings, provide guidance during solution development, and approve changes in real time.
EstablishTenets for Decision-Making
As Phil Le-Brun explains, well-crafted tenets establish shared values between teams and leadership so that teams can make decisions autonomously. They also surface and resolve differences in opinion early, creating an environment of trust that allows teams to move faster.
Define Clear Success Metrics
Define 3-5 metrics that will determine the initiative’s success. You can use them to make sure everyone agrees on what matters without dictating how to achieve it. Focus on customer outcomes rather than internal measures. The metrics should encourage experimentation and learning—e.g., measuring customer adoption and satisfaction alongside business outcomes allows teams to introduce new ideas while staying focused on delivering value.
Manage Risk Effectively
Autonomous teams introduce new risks, so you need to be proactive. Rather than using traditional controls that undermine autonomy, try these methods:
Introduce Risk-Smart Decision-Making
At AWS, we use two approaches to manage risk while maintaining speed: making reversible decisions and controlling blast radius through minimum viable experiments. When teams can safely undo or modify their choices, they can move quickly and with less oversight. By thoughtfully designing small experiments to test hypotheses, the team can build confidence in its ability to manage risks. Consider a team launching a significant platform change: Instead of a full rollout, they might build in rollback capabilities, test with a small subset of customers, gather data rapidly, and expand gradually based on evidence.
Define Clear Guardrails
Work with your compliance, security, and legal teams to establish boundaries the team must operate within. Codify nonnegotiable requirements, such as data handling standards or financial approval thresholds, so they are clear. Avoid ambiguous policies that require interpretation.
Create a Pre-Mortem Process
Conduct pre-mortem sessions before major decisions or launches. In these sessions, the team imagines potential failures and develops mitigation strategies. This builds risk awareness without imposing bureaucratic approval processes.
Establish Early Warning Systems
Identify risk indicators that can be monitored without disrupting the team’s operations—e.g., customer complaint trends, security vulnerability metrics, or budget variance patterns. Set thresholds that trigger review only when indicators suggest potential problems.
Define Your Executive Role
Many executives struggle to find the right balance, oscillating between overregulation and abandonment. These practices will help you provide effective leadership:
Coach
Position yourself as a coach rather than a director. Ask, “What factors did you consider in this approach?” rather than, “Why didn’t you consider using approach X?” This subtle shift encourages deeper thinking without undermining autonomy.
Practice Disciplined Nonintervention
Commit to not reversing team decisions for at least 48 hours after learning about them. This gives you time to distinguish between genuine concerns and personal preferences. When you do need to intervene, explain the specific principle or risk that drove your decision.
Maintain Regular Cadence with a Bounded Scope
Schedule brief (30-minute) weekly check-ins with the STL to remove obstacles and offer support. This demonstrates commitment without creating dependency or micromanagement.
Provide Air Cover
When other leaders question the team’s authority or try to impose traditional governance, reinforce the autonomy you’ve granted them. You may need to have conversations with peers who feel threatened by this new approach.
Use the Single Team to Jumpstart Enterprise-Wide Transformation
Your most powerful role is as a visible advocate for this new operating model. Celebrate the team’s successes and what they learn from setbacks. Give the STL and team members opportunities to share their experiences with other leaders. They should highlight what they achieved and how autonomy led to better outcomes. When teams demonstrate courage in making difficult decisions or challenging traditional approaches, recognize these moments publicly. This visible support helps shift the culture so workers stop seeking permission and begin making decisions.
To expand beyond your first team, document the practices that succeeded—from decision-making frameworks to metrics selection—to create a playbook. Identify your next group of STLs and have them shadow your initial team before launching their own initiatives. Use your first team’s success as evidence for changing enterprise-wide approval processes, funding models, and how specialized functions engage with teams.
Autonomous teams can help your organization compete in a volatile market. The question isn’t whether you can afford to create autonomous teams but whether you can afford not to.