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Run your operations like a rail network
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Run your operations like a rail network

Every successful company faces the same challenge: their once-simple operations have evolved into a complex web of tools, automations and processes that nobody fully understands. Teams waste hours moving data, automations break without warning, new hires take months to learn the ropes and despite investing in a dozen tools, extracting basic insights is a nightmare.

The solution isn't adding more tools or building more automations. It's thinking about your operations the way railway engineers think about rail networks: a holistic, reliable and efficient system.

What is an Operational System?

An Operational System (OS) gives you a unified view of your company’s operations, integrating three core elements:

  1. Data: The foundation of your OS, captured seamlessly, stored reliably, and formatted for reuse everywhere.
  2. Tools: Interfaces that make it easy for teams to perform tasks, extract insights, and configure automation.
  3. Workflows: They move data between tools, ensuring every process—manual, automated, or AI-driven—stays on track.

Operational Systems are rail networks

At its core, every company exists to take its customers from point A (problem) to point B (solution). Operational Systems mirror rail networks by moving data (cargo) through a complex network of tools (stations) and workflows (rails) to deliver an outcome.

Take an e-commerce company as an example:

  • When a customer places an order, the order data (cargo) is loaded onto the train: shipping address, product selection, payment details; everything needed for a successful delivery.
  • The OS transports this cargo through various tools (stations): the website's checkout, inventory management and shipping partners.
  • Workflows (rails) keep everything on track, automatically routing inventory checks, clearing payment processes, updating stock levels and dispatching shipping notifications.

Just like a rail network operating without a central control room leads to collisions and gridlock, an OS without proper orchestration creates operational chaos.

The OS principles

Rail networks are the most efficient form of mass transit ever created, moving millions of passengers with minimal pollution and maximum reliability. They provide unparalleled visibility through central control rooms, ensuring real-time network monitoring. They empower conductors with the autonomy to focus on what truly matters—ensuring the train reaches its destination safely and on time.

The same principles that make rail networks great also make exceptional Operational Systems:

  1. Efficiency: Streamlined processes, user-friendly custom interfaces and smart automation using AI, no-code and traditional code.
  2. Reliability: Robust systems with safeguards that catch issues early and workflows that grow stronger with refinement.
  3. Visibility: Real-time clarity through centralized dashboards, embedded documentation and data routed to familiar tools like Slack.
  4. Autonomy: Empowering teams with self-serve tools, avoiding lock-in to rigid platforms and creating workflows that adapt as the business scales.

Operational Systems are rarely perfect from the start; they mature gradually, much like today’s rail networks, which weren’t built in a day.

From Dirt Roads to Rail Networks

We've identified 4 stages in the evolution of Operational Systems. While companies don't always progress sequentially—some may leap forward by learning from experience—understanding these stages helps figure out where you are and where you’re heading.

Stage 1: Dirt Roads

  • Data: Not structured
  • Tools: Spreadsheets, Slack, Email
  • Workflows: Manual

Like early dirt roads formed by people walking the same path over and over, the first operational processes emerge organically from repeated tasks. There's no real infrastructure, just basic tools like spreadsheets and email.

While this works for small loads and short distances, trying to transport more cargo or travel further quickly becomes an operational nightmare.

Stage 2: Paved Roads

  • Data: Structured but scattered
  • Tools: Function-specific
  • Workflows: Simple automations, within tools

To handle increasing workloads and the complexity of growing operations, companies turn to specialized tools (e.g. CRM, ATS, Emailing) designed to streamline specific functions.

These tools are like paved roads, more structured and reliable than dirt paths, but still fundamentally independent. Cargo needs to be manually transferred between routes, creating bottlenecks at intersections.

Stage 3: Railways

  • Data: Duplicated across tools, without a single source of truth
  • Tools: Function-specific
  • Workflows: Complex automations, across tools

Companies lay down automated pathways to connect tools using platforms like Zapier or Make. This helps them create direct connections—like railways between cities—promising faster and more reliable data flow.

While railways are a significant leap forward, automations break frequently, like tracks falling into disrepair, and data is duplicated at every station rather than flowing smoothly through the system.

Some companies try to solve this by adopting all-in-one platforms like Hubspot or Salesforce, but these often prove as limiting as having a single railway company monopolizing all routes.

Stage 4: Rail Network

  • Data: Centralized in a database
  • Tools: Custom-built
  • Workflows: Orchestrated with AI assistance

Mature Operational Systems orchestrate operations through a unified infrastructure like a control room coordinates a rail network. With modern tools such as Retool and API-first platforms, building a custom OS has become more accessible than ever.

This setup enables unprecedented efficiency and reliability: data flows naturally through the organization, operators use tools tailored to their needs, and the entire system is adaptable to changes. It’s a foundation that can scale alongside the company while reducing long-term costs and dependencies.

Accelerate Your Journey

At Railblocks, we help companies fast-track their evolution through these stages by focusing on three key principles:

Measure Everything

What gets measured gets improved. From day one, we define your KPIs, design systems to track them, and build dashboards for actionable insights. This ensures high-impact improvements with clear ROI.

Composable Architecture

We carefully select and implement tools as building blocks, enabling quick additions, seamless swaps, and avoiding vendor lock-in. Learn more about our approach in this article.

Learning from the past

With experience guiding numerous companies through this evolution, we anticipate and prevent issues, design scalable yet flexible systems and build foundations for future capabilities. This ensures you get not just a system for today, but an infrastructure that strengthens as your company grows.

Operational chaos doesn’t have to be the norm. At Railblocks, we help you transform your operations into a scalable, resilient system that grows alongside your business.

Email hello@railblocks.co to start building your Operational System today.

Every successful company faces the same challenge: their once-simple operations have evolved into a complex web of tools, automations and processes that nobody fully understands. Teams waste hours moving data, automations break without warning, new hires take months to learn the ropes and despite investing in a dozen tools, extracting basic insights is a nightmare.

The solution isn't adding more tools or building more automations. It's thinking about your operations the way railway engineers think about rail networks: a holistic, reliable and efficient system.

What is an Operational System?

An Operational System (OS) gives you a unified view of your company’s operations, integrating three core elements:

  1. Data: The foundation of your OS, captured seamlessly, stored reliably, and formatted for reuse everywhere.
  2. Tools: Interfaces that make it easy for teams to perform tasks, extract insights, and configure automation.
  3. Workflows: They move data between tools, ensuring every process—manual, automated, or AI-driven—stays on track.

Operational Systems are rail networks

At its core, every company exists to take its customers from point A (problem) to point B (solution). Operational Systems mirror rail networks by moving data (cargo) through a complex network of tools (stations) and workflows (rails) to deliver an outcome.

Take an e-commerce company as an example:

  • When a customer places an order, the order data (cargo) is loaded onto the train: shipping address, product selection, payment details; everything needed for a successful delivery.
  • The OS transports this cargo through various tools (stations): the website's checkout, inventory management and shipping partners.
  • Workflows (rails) keep everything on track, automatically routing inventory checks, clearing payment processes, updating stock levels and dispatching shipping notifications.

Just like a rail network operating without a central control room leads to collisions and gridlock, an OS without proper orchestration creates operational chaos.

The OS principles

Rail networks are the most efficient form of mass transit ever created, moving millions of passengers with minimal pollution and maximum reliability. They provide unparalleled visibility through central control rooms, ensuring real-time network monitoring. They empower conductors with the autonomy to focus on what truly matters—ensuring the train reaches its destination safely and on time.

The same principles that make rail networks great also make exceptional Operational Systems:

  1. Efficiency: Streamlined processes, user-friendly custom interfaces and smart automation using AI, no-code and traditional code.
  2. Reliability: Robust systems with safeguards that catch issues early and workflows that grow stronger with refinement.
  3. Visibility: Real-time clarity through centralized dashboards, embedded documentation and data routed to familiar tools like Slack.
  4. Autonomy: Empowering teams with self-serve tools, avoiding lock-in to rigid platforms and creating workflows that adapt as the business scales.

Operational Systems are rarely perfect from the start; they mature gradually, much like today’s rail networks, which weren’t built in a day.

From Dirt Roads to Rail Networks

We've identified 4 stages in the evolution of Operational Systems. While companies don't always progress sequentially—some may leap forward by learning from experience—understanding these stages helps figure out where you are and where you’re heading.

Stage 1: Dirt Roads

  • Data: Not structured
  • Tools: Spreadsheets, Slack, Email
  • Workflows: Manual

Like early dirt roads formed by people walking the same path over and over, the first operational processes emerge organically from repeated tasks. There's no real infrastructure, just basic tools like spreadsheets and email.

While this works for small loads and short distances, trying to transport more cargo or travel further quickly becomes an operational nightmare.

Stage 2: Paved Roads

  • Data: Structured but scattered
  • Tools: Function-specific
  • Workflows: Simple automations, within tools

To handle increasing workloads and the complexity of growing operations, companies turn to specialized tools (e.g. CRM, ATS, Emailing) designed to streamline specific functions.

These tools are like paved roads, more structured and reliable than dirt paths, but still fundamentally independent. Cargo needs to be manually transferred between routes, creating bottlenecks at intersections.

Stage 3: Railways

  • Data: Duplicated across tools, without a single source of truth
  • Tools: Function-specific
  • Workflows: Complex automations, across tools

Companies lay down automated pathways to connect tools using platforms like Zapier or Make. This helps them create direct connections—like railways between cities—promising faster and more reliable data flow.

While railways are a significant leap forward, automations break frequently, like tracks falling into disrepair, and data is duplicated at every station rather than flowing smoothly through the system.

Some companies try to solve this by adopting all-in-one platforms like Hubspot or Salesforce, but these often prove as limiting as having a single railway company monopolizing all routes.

Stage 4: Rail Network

  • Data: Centralized in a database
  • Tools: Custom-built
  • Workflows: Orchestrated with AI assistance

Mature Operational Systems orchestrate operations through a unified infrastructure like a control room coordinates a rail network. With modern tools such as Retool and API-first platforms, building a custom OS has become more accessible than ever.

This setup enables unprecedented efficiency and reliability: data flows naturally through the organization, operators use tools tailored to their needs, and the entire system is adaptable to changes. It’s a foundation that can scale alongside the company while reducing long-term costs and dependencies.

Accelerate Your Journey

At Railblocks, we help companies fast-track their evolution through these stages by focusing on three key principles:

Measure Everything

What gets measured gets improved. From day one, we define your KPIs, design systems to track them, and build dashboards for actionable insights. This ensures high-impact improvements with clear ROI.

Composable Architecture

We carefully select and implement tools as building blocks, enabling quick additions, seamless swaps, and avoiding vendor lock-in. Learn more about our approach in this article.

Learning from the past

With experience guiding numerous companies through this evolution, we anticipate and prevent issues, design scalable yet flexible systems and build foundations for future capabilities. This ensures you get not just a system for today, but an infrastructure that strengthens as your company grows.

Operational chaos doesn’t have to be the norm. At Railblocks, we help you transform your operations into a scalable, resilient system that grows alongside your business.

Email hello@railblocks.co to start building your Operational System today.

Lorenzo Castro
Managed the largest & most complex Airtable & Zapier accounts in the world.