Building a resilient operating model that outlives regulation

Too often, companies treat compliance deadlines like exam dates – cramming technical controls into place weeks before the regulator arrives, then wondering why nothing works six months later.

DORA, NIST CSF, and similar frameworks expose this short-termism. The regulation passes, the consultant leaves, and the operating model collapses under its own weight. Building a resilient operating model means treating regulatory frameworks as opportunities to strengthen operational foundations, not just deadlines to survive.

The cost of reactive compliance

Regulatory deadlines create urgency, which sounds useful until you realise urgency drives the wrong decisions. When DORA compliance remains theoretical, firms default to reactive mode: buy the tooling, map the minimum viable processes, document what already exists rather than what should exist.

This approach guarantees rework. Post deadline, when business services expand or third-party dependencies shift, the hastily configured system can’t adapt. And teams revert to spreadsheets because the platform doesn’t match reality.

Speed-first implementations then end up costing twice. Once for the rushed delivery, again for the rebuild that follows. The business case claimed efficiency gains that never materialise because the foundation wasn’t designed to flex.

Data foundations determine everything

Strong operating models depend on strong data models. This sounds obvious until you examine what most firms implement: risk registers populated from memory, business service mappings that duplicate rather than consolidate, critical data assets listed without ownership or lineage.

Effective operational resilience requires tracing data back to source and validating every dependency claim. The ServiceNow Operational Resilience dashboard can surface these gaps early, but only if organisations invest time upfront to establish data integrity.

Treating data quality as a project phase rather than a foundational requirement creates technical debt that compounds. Each subsequent module inherits those data quality issues, multiplying remediation costs down the line.

Leadership time, not sign-off

Operational resilience frameworks fail most often through diluted ownership. Firms assign a project manager, nominate a sponsor who appears for steering committees, then expect the platform to deliver transformation through configuration alone.

This doesn’t work. When leadership involvement remains “side-of-desk,” business process and technical implementation drift apart. Risk teams design workflows that don’t match operational reality. And IT configures the CMDB without understanding how business services actually depend on technology components.

A resilient operating model requires more than governance committees – it demands leaders who understand how business services, third-party risk management, and technical dependencies interconnect. They attend design workshops, challenge assumptions about what’s critical versus what’s convenient, and ensure the platform reflects actual dependencies rather than theoretical ones.

Compliance as strategic opportunity

The question isn’t whether to comply with DORA compliance requirements, NIST CSF, or comparable frameworks. It’s whether to treat compliance as a box-ticking exercise or as an opportunity to strengthen operational foundations. The latter means integrating business continuity management, risk management frameworks, and third-party risk processes into a unified platform.

Approached correctly, regulatory requirements become forcing functions for improvements firms needed anyway: clearer service ownership, documented dependencies, validated continuity plans, integrated risk and compliance workflows. The regulation provides budget and urgency to fix structural issues that organisations knew existed but never prioritised.

When firms genuinely want to understand their vulnerabilities, improve recovery capabilities, and build connected operating models, compliance becomes achievable rather than onerous. The technical platform serves the business objective instead of existing to satisfy an auditor.

What good operating models look like

- Data integrity and compliance foundations from the beginning. Critical services, dependencies, and controls are validated before configuration begins. The platform reflects actual operations, not aspirational process maps.

- Incremental delivery with strategic vision. Start with Risk Management or Business Continuity Management as a foundation, then expand to Policy & Compliance and Third-Party Risk Management once the data model proves robust. Each phase builds on verified foundations rather than adding complexity to fragile infrastructure.

- Business ownership, not IT administration. Platform governance sits with those who understand business services and their dependencies. Technology enables their decision-making rather than dictating it.

- Continuous validation. Operating models degrade without active maintenance. Regular testing, dependency reviews, and control validation ensure the platform remains accurate as business services evolve.

Organisations that embed these practices will achieve compliance – and more importantly, build a resilient operating model that survive changes to regulation, business strategy, and operating environment.