Rebuilding While Flying: Modernizing at Full Speed

Season 2 – Episode 3
Modern enterprises are trying to stay agile while operating on processes built for a slower, more predictable era. This episode breaks down why legacy models fail and what a modern operating model requires, from modular design to customer centered, data driven execution. Leaders will learn how to modernize at full speed without stopping the business.

Kardelen ÇelikContent Editor

December 9, 2025
5min read

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Episode Description

Welcome back to the Deep Dive. Today we tackle a high-stakes question every established organization is facing: how do you redesign the core machinery of your business while it is running at full speed?
Processes designed for stability have become the biggest obstacle to agility and customer focus. Our goal is to explore why traditional operating models fail in today’s environment and what a realistic roadmap looks like for leaders who cannot start from scratch.

The Legacy Burden

Existing companies carry decades of legacy systems, complex compliance requirements, and outdated design philosophies. These processes were optimized for predictable growth, standardization, and stability.

In today’s world, that stability has become drag. It slows down decision-making, blocks innovation, and frustrates customers.

Where Legacy Processes Fail

1. Core Inflexibility

Many processes require excessive approvals, batch updates, and rigid workflows. They cannot react when markets shift within hours or when new competitors reshape expectations overnight.

2. Customer Disconnect

In industries like banking or insurance, siloed departments make seamless experiences impossible. Customers expect a single, real-time view, yet the underlying architecture fragments the journey and creates friction.

Legacy systems were built for transactional efficiency, not experiential quality. They technically deliver a product but frustrate the person receiving it.

3. Operational Rigidity

Manual work fills the gaps between disjointed systems. Employees spend time enforcing rules that should be automated, tracking down information, or reconciling data across tools.

4. Innovation Slowdown

Bureaucratic processes kill experimentation. If every idea requires rewriting specifications and passing through layers of approvals, innovation cannot take root. Speed, collaboration, and experimentation are essential today, yet legacy models undermine all three.

The Process Renaissance

Modern operating models require a complete departure from old, monolithic designs. Instead of large, interconnected systems where one change breaks everything, leading organizations shift to composable, flexible, automated structures.

Traits of Modern, Agile Operating Models

1. Composable and Modular Design

Think of Lego bricks instead of a single clay sculpture. Processes are built from small independent services exposed through APIs. Need to upgrade payments? Swap out that one brick without rebuilding the entire order management system. This reduces deployment time and risk dramatically.

2. Customer Centricity

Customer outcomes become the North Star. Metrics shift from internal throughput to real-time satisfaction, delivery speed, and personalization. Processes anticipate needs by using recent data to simplify steps while maintaining safety and compliance.

3. Agility and Adaptability

Processes are built to pivot quickly when regulations, market conditions, or external shocks change. Short cycles of refinement allow continuous improvement instead of big, risky redesigns.

4. Operational Excellence and Autonomy

The end goal is self-driving processes. Automation monitors performance, identifies bottlenecks, and resolves minor issues without human intervention. Employees become designers and strategists rather than executors of repetitive tasks.

Real-World Proof at Scale

Amazon
Amazon’s supply chain success is rooted in modularity. When global disruptions hit, they could plug in new distribution centers, reconfigure fulfillment flows, and integrate delivery partners rapidly. Their systems were designed to reassemble themselves under pressure.

Domino’s
Domino’s uses automation and AI for route optimization, kitchen capacity forecasting, and real-time adjustments. The entire journey from order to dispatch continuously optimizes for speed and reliability.

ING Bank
A heavily regulated bank transformed by shifting to cross-functional squads. Instead of a mortgage application passing through five separate departments, one squad owns the entire process end-to-end. The result is faster decisions, fewer errors, and a dramatically improved customer experience.

Where Leaders Should Start

1. Start Small and Scale Fast
Begin with a low-risk, high-impact pilot, such as customer onboarding or reporting. Early measurable wins build organizational confidence.

2. Build Cross-Functional Teams with Ownership
Move away from IT owning tech and operations owning steps. One team must own the entire outcome from start to finish.

3. Use Agile Methodologies
Launch a minimum viable process, collect data, iterate every few weeks. Frequent small changes reduce disruption and increase learning.

4. Prioritize Customer Experience
Integrate real-time feedback loops that reveal where customers struggle, not just where the system logs a completed transaction.

5. Invest in Automation and AI
Automate repetitive work first: account maintenance, routine checks, inventory monitoring. Free your people for high-value work like relationship building and process innovation.

6. Build a Culture of Continuous Improvement
Transformation cannot be a one-time initiative. Everyone must be encouraged to challenge old routines and propose enhancements.

Leading the Human Side of Change

People naturally resist change. Leaders must address this directly.

Strategy 1: Communicate the Why
Explain that modernization is essential for competitiveness and customer expectations, not just a cost-cutting exercise.

Strategy 2: Showcase Quick Wins
Share successes publicly.
A reduction in approval time.
A spike in satisfaction scores.
Visible improvements accelerate adoption.

Strategy 3: Activate Internal Champions
Mid-level leaders and respected specialists can translate strategy into daily behaviors and help teams navigate uncertainty.

Conclusion

This shift is bigger than technology. It is a cultural transformation toward continuous, high-speed adaptation. Legacy processes built for control cannot survive in a world defined by rapid change. Agile, autonomous, customer-centered processes are no longer optional. They are essential for survival.

So ask yourself: if you had to rebuild a critical process from modular components tomorrow, where is your most rigid legacy bottleneck, and how fast could you replace it?