Building an Operational Resilience Framework: A Practical Guide

Operational resilience doesn’t happen by chance. It takes planning, structure, discipline, and governance. In this article, we focus on information technology and synthesize 45+ years of ITSM experience into a practical approach to building operational resilience.

Table of Contents 

1. What is Operational Resilience?

2. Operational Resilience Doesn’t Happen by Chance

3. What Do We Mean by an Operational Resilience Framework? 
4. Operational Resilience is an Outcome

5. The ITSM Processes That Actually Drive Operational Resilience

6. Where Process Execution Breaks Down

7. Compliance Doesn't Equal resilience
8. AI Doesn’t Fix Broken Processes

9. Governance Is What Sustains Operational Resilience

10. What Resilient Organizations Do Differently

11. How to Get Started

12. Final Thought

1. What is Operational Resilience?

Operational resilience is an organization’s ability to anticipate threats and put strategies in place to detect, protect, respond, and recover — all while maintaining services and minimizing financial and reputational impact.

Think about it — isn’t this the core of what every mature IT organization should be doing?

The problem is that even with all the technology and best practices at our disposal, these failures keep happening.

These are not edge cases. They are happening every day!

• Airlines grounded
• Health records exposed
• Private customer data leaked into the public domain
• Companies facing significant financial and reputational damage.

So why is this the case? I hold leadership accountable.

Having worked in ITSM for over 45 years, I’ve seen it time and time again. Great organizations delivering strong results, but without leadership support, all the IT Service Management in the world isn’t worth a hill of beans. Processes begin to decay, tools become unwieldy, and gaps start to form. This leads to serious risk for the business.

But even the best leadership needs structure, an operational risk framework in which to operate.

Assess your operational resilience identify gaps in your processes before they become failures.

2. Operational Resilience Doesn’t Happen by Chance

What if I asked you the difference between a resilient organization and one with operational resilience gaps?

So why are we still seeing failures?

In 2025, data breaches in the U.S. hit a record 3,322 incidents, up 5% from 2024 and nearly 80% higher than five years ago.

So what is missing? The missing piece isn’t tools, policies, or compliance. It’s having processes that actually work.

Today’s enterprise operates in a world full of frameworks. NIST. ISO. ITIL. COBIT. DORA. Enterprise risk frameworks layered on top.

There’s no shortage of guidance.

But frameworks don’t create resilience. Process execution does, and AI is not a substitute for process discipline.

Learn more in this article: The 3 Pillars of IT Security: The Synergy Between ITSM, InfoSec, and GRC

3. What Do We Mean by an Operational Resilience Framework?

Are we talking out of both sides of our mouth?

When we talk about an operational resilience framework, we’re not talking about another layer of controls or another set of documents.

We’re talking about a structured way to perform:

• Process Assessment
• Process Design
• Process Governance

Whether it’s NIST CSF, DORA, SOC 2, HIPAA, or any of the many frameworks out there, one thing is consistent: they all sit on top of what really matters — your IT Service Management processes.

This is important. When you look across these frameworks, they all point to the same thing: can you implement changes safely, detect issues early, respond effectively, and recover from disruption — all while keeping services running and protecting customer and internal data?

And how well those processes actually work is what defines operational resilience.

4. Operational Resilience is an Outcome

Operational resilience isn’t a department, a tool, a checklist, or even a framework. It is the outcome of how well your organization operates day to day.

You can have the best technology, the most detailed policies, and the most respected frameworks in place. But if your processes are inconsistent, poorly governed, or not followed, resilience will break down.

That’s why operational resilience has to be viewed through the lens of execution.

How are changes assessed and implemented? How are incidents detected and resolved? How are problems investigated? How are suppliers governed? How are recovery plans tested? How are risks identified and acted on?

These are not theoretical questions. They are the operational practices that determine whether an organization can prevent disruption, detect issues early, respond effectively, and recover when something goes wrong.

Frameworks provide guidance. GRC helps define expectations. Technology supports execution.

But operational resilience comes from processes that actually work.

5. The ITSM Processes That Actually Drive Operational Resilience

Depending on how you count them, there are upwards of thirty IT service management processes. These processes do not work in isolation. With the right execution, supporting technology, and governance, they form the operating model for your IT organization.

This becomes even more important as organizations introduce AI-driven automation and decision-making into operational workflows as AI will only scale operational maturity — or operational dysfunction. 

Each of these processes plays a role, but there is a core set we consistently see as the backbone of operational resilience. These are the processes that determine whether you can prevent disruption, detect issues early, respond effectively, and recover without significant impact.

At Navvia, we’ve identified thirteen processes that matter most:

• Asset Management — ensures you know what you have, what matters, and what needs to be protected
• Change Management — controls how changes are introduced to reduce risk and avoid disruption
• Incident Management — restores service quickly when something breaks
• Information Security Management — protects systems and data from internal and external threats
• Infrastructure and Platform Management — keeps the underlying environment stable, available, and performing
• Monitoring and Event Management — detects issues early before they become incidents
• Problem Management — identifies and eliminates root causes to prevent recurrence
• Release Management — ensures changes are deployed in a controlled and coordinated way
• Risk Management — identifies and manages risks to services and operations
• Service Continuity Management — ensures services can be recovered within acceptable timeframes
• Service Validation and Testing — confirms that changes won’t negatively impact services before they go live
• Software Development Management — ensures applications are built, maintained, and deployed in a way that supports stability, security, and resilience
• Supplier Management — manages third-party dependencies that can introduce operational risk

Individually, each of these processes is important.

But operational resilience doesn’t come from any one process. It comes from how they work together.

Organizations need to understand what matters most and where they are exposed. Asset Management and Risk Management provide visibility into critical services, dependencies, and operational risk.

They need to reduce the likelihood of disruption. Change Management, Release Management, Service Validation and Testing, Information Security Management, Infrastructure and Platform Management, and Software Development Management help ensure systems are designed, changed, deployed, and operated in a controlled and resilient way.

They need to detect and stabilize issues early. Monitoring and Event Management, together with Incident Management, help organizations identify problems quickly and contain impact before issues escalate into larger outages or security incidents.

They also need the ability to respond and recover effectively. Incident Management, Problem Management, and Service Continuity Management help restore services quickly, coordinate recovery efforts, and reduce the likelihood of recurring failures.

And finally, operational resilience requires ongoing governance and continual improvement. Supplier Management, process governance, measurement, and operational oversight help ensure resilience is sustained over time rather than becoming a one-time initiative.

When these processes are connected and executed consistently, issues are detected earlier, changes are safer, incidents are resolved faster, and disruptions have less impact.

When they’re not, small gaps between them turn into major failures.

6. Where Process Execution Breaks Down

In our experience, organizations don’t treat their IT processes the same way they treat manufacturing, logistics, or other core business processes. We sometimes call this the “cobbler’s children have no shoes” syndrome. IT underpins the business, but pays less attention to its own processes.

In manufacturing, organizations are constantly monitoring flow, capturing defects, and driving continuous improvement. In IT, we often wait for a crisis — and then it’s all hands on deck.

It typically starts with a disconnect between how processes are documented and how they are actually executed. Many IT organizations are required to document processes for regulatory or compliance reasons, but once that’s done, execution begins to drift.

You see it in a few consistent patterns:

• Processes are interpreted differently across teams, with no enforcement of consistent execution
• Shortcuts and workarounds become the norm because processes are never evaluated against real-world requirements
• There is little to no formal process training — just outdated documentation
• Process improvement is not embedded into the organization, leading to ongoing frustration and inefficiency
• The ITSM tool replaces an ITSM program, resulting in little to no real oversight

I’m going to say it again: the problem typically isn’t a lack of processes. It’s a lack of ownership, consistent execution, and continual improvement. That’s where processes begin to drift — and ultimately break down.  And when they do, the response is predictable. A scramble to fix the issue, followed by a renewed focus on process, only for execution to drift again over time.

7. Compliance Doesn't Equal Resilience

Organizations can pass audits, maintain risk registers, and document extensive controls and still experience major operational failures.

Why?

Because compliance measures whether controls exist. Operational resilience measures whether the organizations processes actually work under pressure.

You can have policies, frameworks, governance committees, and dashboards in place and still fail to detect issues early, respond effectively, or recover without significant disruption.

Documentation matters. Frameworks matter. GRC matters.

But resilience ultimately shows up in operational execution — how changes are managed, how incidents are handled, how risks are governed, and how effectively organizations respond and recover when something goes wrong.

Compliance may tell you that you should be resilient.

Operational reality tells you whether you actually are.

8. AI Doesn’t Fix Broken Processes

Everyone is rushing to implement AI.

But here’s the uncomfortable truth: AI doesn’t fix broken processes. It scales them.

If your organization has weak change control, inconsistent execution, poor governance, bad data, and unclear ownership, AI is not going to magically improve things. It will simply help you make mistakes faster and at greater scale.

Organizations are about to automate chaos.

The same applies to operational resilience and cybersecurity. What happens when AI is connected to poorly governed operational processes?

Bad data spreads faster. Incorrect actions become automated. Weak controls are bypassed at scale. Small operational mistakes quickly turn into major incidents.

AI amplifies execution. That’s the real story.

Organizations with strong operational discipline, governed processes, quality data, and clear accountability will benefit enormously from AI. Organizations without those foundations risk accelerating operational dysfunction.

AI is not a substitute for process discipline.

In many ways, AI makes operational resilience even more important. Before organizations ask how AI can transform operations, they should first ask a more important question:  Do we have processes that actually work?

Learn more in our article: Immature ITSM? AI Will Make It Dangerous!

9. Governance Is What Sustains Operational Resilience

Processes don’t usually fail all at once. Governance erodes slowly until a crisis forces everyone to care again.

At first, the changes are subtle. Teams begin interpreting processes differently. Shortcuts become normalized. Metrics stop being reviewed. Process training fades. Governance meetings become less frequent. Over time, execution drifts and operational risk quietly grows in the background.

Then something breaks.

A major outage, failed deployment, security incident, or audit finding suddenly forces the organization to get serious about process again.

We call this the “Shark Fin” effect — a cycle where governance weakens over time until a crisis forces a temporary return to discipline. You can read more about it here: Practical Governance Beats Best-Practice Frameworks Every Time.

There is a story I love to tell from early in my career. I used to be a field engineer for mainframe computers. There was one customer who always seemed to be one step ahead of me. When a failure occurred, they always seemed to know exactly what went wrong and how to fix it. Frankly, it was intimidating.

Then I had the “aha” moment that made me truly believe in process. The reason they were always one step ahead is because they looked back in time. They had the data, the history, and the discipline. They had well-documented and well-governed processes that allowed them to address issues quickly and effectively.

Then they got outsourced.

I have nothing against outsourcing, but in this particular case, none of the processes that made them great were transferred. They ended up with the outsourcer’s processes.

Things held together for a while. Until they didn’t.

A crisis hit, and suddenly the outsourcer got “serious” about process. But what they forgot is that processes don’t sustain themselves. Without governance, they drift.

Good governance starts with clear ownership and accountability for each process. Too many organizations have process owners in name only.

Processes also need ongoing measurement, review, and continual improvement. Governance is not about maintaining documentation — it’s about ensuring processes are consistently executed, measured, and improved over time.

Process owners also need to work together, because the processes work together. One way to formalize this is through a Service Management Office, where process owners, process managers, analysts, and tool specialists work together to drive service management forward. You can learn more in our article: What is a Service Management Office? Everything you need to know.

Training is another critical piece. I remember one consulting engagement where the executive sponsor said, “We don’t need process training. Our people are smart, and the tool is self-explanatory.” That mindset leads directly to inconsistency.

Training reinforces how processes should be executed and, more importantly, why they matter.

GRC defines expectations. Governance sustains execution.

Operational resilience is maintained through ownership, measurement, accountability, and continual improvement — not just documentation.

10. What Resilient Organizations Do Differently

Resilient organizations have processes that actually work. It starts with good process documentation, but it depends on consistent, day-to-day execution and governance. That comes from real process ownership and accountability.

Resilient organizations understand that processes do not run in silos — they work together to create an operating model. One of the best ways to break down those silos is through a Service Management Office, where process owners, managers, analysts, and tool specialists work together to implement processes that actually work.

Resilient organizations measure performance and act on it. They don’t rely on a crisis as a catalyst for change. They use data to drive decisions, identify gaps, and continuously improve. This foundation becomes critical as organizations begin integrating AI into operational workflows.

Resilient organizations don’t equate effective service management with ITSM tools. Too often, we’re introduced to the ITSM program manager or Director of ITSM, and the role is little more than an intake for tool enhancement requests. Tools are critical — but it’s your processes, and how they are executed, that make you resilient. Read: The Strategic Benefits of Implementing ITSM Processes

11. How to get Started

Contrary to popular belief, operational resilience doesn’t start with frameworks or GRC — it starts with processes that actually work. Here is a practical, step-by-step approach to building your operational resilience framework.

1. Assess Current Process Performance. Start by evaluating how your processes actually operate, not just how they are documented. Look at process activities, governance, execution consistency, stakeholder alignment, automation, and how performance is measured.  (See: Operational Resilience Starts With Assessment.)
2. Identify Gaps and Operational Risks. Identify gaps in execution, governance, ownership, and process consistency. Look for areas where processes are interpreted differently across teams, where workarounds have become normalized, or where operational risk is quietly increasing in the background.
   
   Identify quick wins, then ensure the processes are clearly documented, the activities are consistently performed, and there is real ownership and day-to-day execution.
3. Prioritize the Critical Processes. Focus first on the processes that most directly impact operational resilience, such as Incident Management, Change Management, Problem Management, Risk Management, Service Continuity Management, Supplier Management, and Infrastructure and Platform Management.

4. Improve Process Execution and Governance.  Ensure processes are not only documented, but consistently executed, measured, governed, and continuously improved. This includes establishing process metrics, governance reviews, accountability, and operational oversight.

5. Establish Ownership and Accountability.  Consider establishing a Service Management Office, where process owners work with managers, analysts, tool specialists, and stakeholders to ensure a true ITSM operating model is in place. Use that structure to bring the remaining processes up to a consistent and effective level.
6. Continuously Measure and Improve.  Remember, this is not a one-time activity. Ongoing assessment, governance, measurement, training, and continual improvement are essential to sustaining operational resilience over time.

Assess, design, and govern — and most importantly, ensure your processes actually work. That’s what drives operational resilience.

12. Final Thought

Building an operational resilience framework isn’t about adding another layer of controls or adopting yet another standard.

It’s about putting structure around how your organization actually operates.

The frameworks are already there. The guidance is already there. What matters is how you bring it to life through process assessment, process design, and process governance.

Get that right, and resilience becomes part of your operating model — not something you react to in a crisis.

Get it wrong, and no amount of frameworks, tools, compliance or AI will make you more resilient. In fact, AI may amplify those weaknesses even faster.

In the end, building an operational resilience framework comes down to this: processes that actually work — and the discipline to run them every day.