The risk pivot: Turning uncertainty into a competitive headstart
Adrian West, VP of Retail, Wholesale, Logistics, and Manufacturing, looks at the possibility of turning risk uncertainty into a strategic advantage for supply chain organisations.
by Adrian West VP of Retail, Wholesale, Logistics & Manufacturing

Treating risk management purely as an operational shield is quietly killing your organisation's growth.
Supplier redundancy, new logistics routes, and ballooning inventory are the new cost of doing business in a market environment where the only thing higher than inflation is client expectations. However, allowing risk management strategies to remain rigid inevitably translates to missed opportunities. Decision-making slows, growth is deferred, and the ability to pivot when conditions change is sharply reduced. Organisations end up trapped in a defensive posture, leaving valuable revenue on the table.
A lack of visibility is the key issue here. We’re living in a world where many old certainties have been swept aside by a new reality in which supplier costs can spike by 10% or more overnight, a new tariff could wipe out quarterly earnings in a matter of days, or a shifting regulatory landscape piles on pressure to remain compliant. Many companies feel like they’re flying blind, unable capitalise on new opportunities for fear of what might happen when, not if, disruption strikes.
It doesn’t have to be this way. And it shouldn’t be this way.
Businesses can no longer afford to treat risk management as a reactive defence. Doing so does not make you more resilient. True resilience demands agility. And unlocking agility is a matter of accessing and leveraging better data and analytics intelligence to cultivate the visibility needed to move beyond reactive disaster recovery and towards proactive, pre-emptive manoeuvring.
By harnessing predictive planning powered by analytics and AI, organisations can leverage their risk management as a source of competitive advantage. With an intelligent system of work (a single digital source of truth that unifies workflows, teams, and data to provide business and sector context across every interaction) organisations have access to the kind of visibility needed to turn risk management into a source of value.
Assessing risk in a state of perpetual disruption
The defining characteristic of any operation (whether in manufacturing, logistics, healthcare, or housing) in 2026 is the frequency and ubiquity of disruptive events. Without the necessary oversight, it can become almost impossible to navigate these challenging times.
Focusing on supply chain management for a moment, we see that data gathered in Sphera's 2026 Supply Chain Risk Report found that supply chain leaders had high levels of confidence in the quality of their supplier risk data, their ability to identify supplier financial distress, and the accuracy of information used for ESG and compliance reporting. However, 73% of those organisations also reported financial or operational losses resulting from supply chain disruption during the previous 12 months. Clearly, that confidence isn’t translating into resilience.
Digging down into this discrepancy, the report highlighted persistent barriers to effective risk management, from limited supplier collaboration beyond Tier 1, to inconsistent data quality, and fragmented technology platforms.
The result is a somewhat glaring gap between the perceived preparedness and the reality on the ground. Businesses express confidence in their risk capabilities while continuing to experience frequent disruption.
The same challenges pop up across multiple industries, especially those with complex regulatory frameworks like the legal, healthcare, and housing sectors, or those with high levels of cybersecurity risk like financial services.
In these exposed sectors, siloed processes and outdated spend management strategies still make it difficult to see where money is going until the end of the quarter, leaving many in the dark until it's too late (and making preventative measures just as likely to create problems as solve them). In short, without granular transparency around how exactly disruption can and will affect their operations, leaders risk making decisions that deliver short-term relief while undermining long-term performance.
This is where the concept of spend intelligence becomes central. Visibility, delivered via an intelligent platform (like OneAdvancedIQ) is the key to understanding where disruption is likely to have the greatest financial impact and where intervention will deliver the best return.
Stress testing with an intelligent system of work to turn reactive disaster recovery into predictive protection
Most business leaders still see risk management as armour against lost revenue and time. However, in a volatile market, a lack of agility in this endeavour means missed opportunities (because the business is unable to pivot before competitors).
That’s why real-time risk-related data is actually a growth lever. Having an intelligent system of work allows organisations to stress test their processes proactively. Scenarios like the impact of a 10% spike in labour costs, a national policy pivot, or a supply chain disruption can be tested ahead of time. Businesses that can quantify risk faster can afford to take bolder actions than competitors who are flying blind.
The goal of stress testing isn’t a perfect map of the future, but rather a practical understanding of how your business responds when critical variables move outside expected ranges. It lets your leaders know whether the operation can continue functioning under real-world constraints (whether that means production capacity, lead times, material availability, transport availability, and inventory levels for a supply chain, or patient number spikes, drug shortages, and regulatory burden for a healthcare provider).
It’s a matter of answering practical questions: What happens if demand for a critical product line increases by 20%? Which supplier creates the first operational constraint? How long can existing service KPIs be maintained during staffing shortages? What delays will compliance with a new regulatory framework create? What are the financial implications of maintaining service levels throughout the disruption?
The value lies in identifying operational breaking points before they occur. Stress testing transforms uncertainty into practical insight. It allows leaders to prioritise investment, prepare contingency plans, and make faster decisions when conditions change. It transforms reactive risk management into a forward-looking, competitive differentiator.
Turning risk into competitive advantage
The businesses that perform well in today's environment of perpetual uncertainty are unlikely to be those with the lowest operating costs during periods of stability. Success is a matter of adapting quickly as and when the market evolves. Disruption has become a constant feature of the global economy. So, the ability to pivot quickly and confidently is fast becoming the defining metric of competitiveness.
Achieving that level of responsiveness requires unified, trustworthy data that connects across all business processes. An intelligent platform that combines operational, supplier, and financial information within a single tech ecosystem. With more integrated, accurate intelligence at their fingertips, leaders can move beyond reactive disaster recovery towards predictive risk management. They can understand how disruption will affect their operation before it even has a chance to hit the balance sheet.
About the author
Adrian West
VP of Retail, Wholesale, Logistics & Manufacturing
Adrian has more than 20 years of experience with digital transformation, consultative selling, developing and executing compelling strategies, and passionately leading high-performing teams. He is a proven customer-centric leader, delivering outstanding business outcomes. As the Vice President of Retail, Wholesale, Logistics, and Manufacturing at OneAdvanced, Adrian is tasked with driving growth by helping our customers in these sectors to grasp the full benefits of technology.
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