Michael Campbell, CEO at Fusion Risk Management.
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Organizations face increasing risk from interconnected systems, third-party dependencies, rapid AI adoption and evolving regulatory requirements. When disruptions occur, they can impact revenue, operational continuity, regulatory defensibility, capital allocation and customer trust.
Yet most enterprises are only at the early-to-mid maturity stage of enterprise resilience.
They have functional programs in place. But they are siloed, report to different executives, use different tools and operate on different cadences.
When a disruption event hits, there’s no unified view of impact across the organization.
But enterprise resilience isn’t optional.
Here’s why and how to build the muscle to anticipate, withstand and recover from disruption.
Interconnected Systems Present Cascading Risk
Modern enterprises today depend on a broad array of platforms, services and systems.
The risk is not merely that any one of these systems may fail, it’s that organizations often struggle to understand the dependencies of their tightly coupled networks of applications, business services, cloud infrastructure, data pipelines, facilities, human workflows, identity systems and operational technology.
If they can’t map these dependencies well enough, they can’t predict the knock-on effects disruptions could trigger.
Third-Party Risk Exists Far And Wide
Enterprises have many third-party providers. Their transitive dependencies to business systems and operations, and enterprises’ lack of visibility about what all is involved in operations, creates significant risk.
The trick is knowing which are truly critical and focusing on them.
A vendor may appear noncritical in a procurement database yet be essential to a customer-facing process, meet contractual requirements but depend upon a fragile fourth party or support many business lines, creating a single point of failure.
AI Adoption Is Upping The Ante
Adoption of AI is creating new resilience dependencies faster than governance can keep up.
AI is becoming embedded in more business processes, but when such workflows fail, drift or produce incorrect decisions, many organizations don’t yet know the business impact or have a manual fallback. Enterprises that adopt AI through partner-provided applications and platforms add a new layer of third-party risk. Bad actors can use AI to scale attacks.
Regulators Are Demanding Demonstrable Resilience
To date, resilience has largely been about documenting plans for compliance. Now regulators expect organizations to prove they can maintain critical operations and a minimum viable company, manage third-party dependencies, recover within defined tolerances and demonstrate governance under stress.
Regulators are fully enforcing DORA and demanding real-time evidence of resilience. The PRA is shifting from documented plans to demonstrated recovery capability. The SEC is adopting rules for cybersecurity risk management, strategy, governance and incidents.
New Analysis Frames The Resilience Journey
Collectively, these trends underscore the need for enterprises to understand their current resilience posture, define their desired future state and establish a clear path to get there.
Our innovation road map describes how organizations progress from reactive, manual continuity programs toward enterprise-wide resilience embedded in strategy and governance.
Stage 1. Siloed And Reactive
These companies are hamstrung by manual tools and fragmented data, resulting in limited visibility, audit stress and key-person dependency.
Stage 2. Programmatic
These organizations have standardized testing and reporting, with partial integration, structured governance and compliance as an audit exercise.
Stage 3. Orchestrated And Dynamic
These enterprises have a unified platform and cross-functional visibility, providing data consistency, scalable execution and evidence on demand.
Stage 4. Predictive
These businesses have embraced automation and AI augmentation, delivering proactive insight, reduced manual load and risk-informed decision-making.
Stage 5. Adaptive Enterprise
These leaders have resilience embedded in their strategy, allowing for real-time oversight, board confidence and continuous improvement.
This analysis is based on five years of data on 1,765 global organizations across industries.
How You Can Advance Enterprise Resilience
Follow the five strategies below:
1. Fund the dependency model as enterprise infrastructure, not a resilience project.
Most organizations lack a governed, continuously maintained view of how their critical services connect to applications, cloud infrastructure, suppliers, facilities and workforce.
Without the dependency model, leaders can’t get quick answers to four disruption questions:
• What is impacted?
• What is the financial exposure?
• What happens next?
• What do we prioritize?
They have to wait for the answers until hours after the event, when options are constrained.
2. Define impact tolerances in financial terms before the next event requires it.
Shifting regulatory requirements from documented plans to demonstrable resilience require a board governance upgrade.
Impact tolerance stated in financial terms, like revenue risk per hour, customer SLA breach thresholds or recovery cost ceilings, changes what resilience investment looks like to a CFO and what accountability looks like to a board.
Organizations at Stage 2 define tolerances in operational terms. Stage 3 organizations define them in financial terms and can demonstrate them under tested conditions. That distinction determines whether the next regulatory examination is a defense or an evidence presentation.
3. Treat AI adoption as a dependency governance decision, not an IT policy question.
Executives sponsoring AI adoption programs should require three things before deployment at scale: the business services that depend on the capability, the recovery path if it fails and the impact tolerance if it degrades.
Organizations that build this requirement into their AI governance now are compressing years of resilience debt that will otherwise accumulate quietly.
4. Measure resilience maturity by decision speed.
The most reliable leading indicator of resilience maturity is whether executives can answer the four disruption questions above at decision speed during active events.
Most Stage 1 and 2 organizations cannot. They assemble answers manually, across silos, during the event, when coordination costs and decision delays compound the impact.
5. Build resilience capability that continuously adapts to changes.
Organizations updating resilience data and exercises annually operate on stale assumptions.
The dependency model from 18 months ago does not reflect the AI tools adopted last quarter, supplier substitutions made after the last disruption or newly acquired infrastructure.
Stage 4 and 5 organizations treat resilience as a practice, continuously working to improve.
The Bottom Line
True enterprise resilience maturity is measured by whether leaders can understand impact, anticipate what happens next, qualify exposure and prioritize recovery when disruption hits.
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