The modern digital economy is built on an extraordinary promise. Whether paying a merchant, settling a supplier invoice, transferring funds to a family member or authenticating an online purchase, individuals and businesses expect critical digital services to function instantly and reliably.
Banking platforms, payment networks, telecommunications infrastructure and cloud services have become the invisible fabric that enables commerce, often without users giving a second thought to the complexity that makes these interactions possible.
Yet beneath this apparent simplicity lies an increasingly intricate web of interconnected systems. A single financial transaction may traverse identity services, fraud detection engines, payment switches, settlement platforms, cloud infrastructure, messaging gateways and numerous third-party APIs before it reaches completion.
Every additional integration enhances capability, improves customer experience and accelerates innovation. At the same time, however, each dependency introduces another potential point of failure.
This growing complexity demands a shift in how we think about operational resilience.
The question is no longer whether critical infrastructure will experience failures. In distributed systems of this scale, outages are not exceptional events but an inevitable consequence of complexity.
The institutions that distinguish themselves are not those that promise perfection, but those that demonstrate the discipline to anticipate failure, contain its impact and maintain public confidence throughout its duration.
Central to that discipline is an often-overlooked principle that deserves to become an industry standard: customers should never be the first to discover that critical infrastructure has failed.
Far too often, organisations learn that an incident has become visible only after customers begin reporting failed transactions, developers notice unexplained API errors, merchants escalate support requests or social media fills with speculation.
By the time an official acknowledgement is issued, the operational narrative has already escaped the organisation’s control. What began as a technical incident rapidly evolves into a crisis of confidence, fuelled less by the outage itself than by the absence of timely, authoritative information.
This should concern every institution operating within the banking, financial services and insurance ecosystem. Trust has always been the industry’s most valuable asset, and in an increasingly digital economy that trust is shaped as much by communication as by technology.
Customers may accept that even the most sophisticated infrastructure occasionally encounters technical difficulties. What they struggle to accept is uncertainty. Silence creates an information vacuum, and information vacuums are invariably filled by rumours, assumptions and conflicting accounts that often inflict greater reputational damage than the original technical fault.
For decades, operational resilience has been discussed primarily through the lens of technology. Organisations have invested heavily in redundancy, disaster recovery, geographically distributed infrastructure, automated failover, observability platforms and increasingly sophisticated monitoring capabilities.
These investments remain essential, but they reflect only one dimension of resilience. The ability to detect failures, isolate affected systems and restore services is unquestionably important; equally important, however, is the ability to communicate clearly, consistently and transparently while those recovery efforts are underway.
Communication should therefore no longer be viewed as a downstream public relations activity that begins once engineers understand the problem. It should be recognised as an operational capability that is designed, tested and continuously improved alongside the infrastructure it serves. In much the same way that institutions engineer for availability, performance and security, they must now engineer for transparency.
This requires organisations to rethink the role of communication during operational incidents. Questions such as who declares an incident, how quickly customers are informed, which channels provide authoritative updates and how enterprise partners receive operational intelligence should never be answered in the middle of an outage.
They should already exist within well-rehearsed operational playbooks. The objective is not simply to communicate more frequently but to communicate with sufficient speed, consistency and technical accuracy that customers, partners and regulators are never forced to speculate about the health of critical services.
Such thinking naturally extends the conversation towards chaos engineering, a discipline that has become increasingly important in the design of modern distributed systems.
Despite its provocative name, chaos engineering is not about deliberately breaking technology for its own sake. It is the disciplined practice of introducing controlled failures into complex systems to understand how they behave under stress.
By simulating degraded databases, network latency, unavailable services or cloud disruptions before they occur in production, engineering teams expose weaknesses that conventional testing rarely reveals. The objective is to replace uncertainty with confidence and assumptions with evidence.
However, the philosophy underpinning chaos engineering should not end with technology. If organisations routinely rehearse database failures, network partitions and infrastructure outages, they should also rehearse communication failures.
Every resilience exercise should ask not only whether systems continue functioning, but whether the organisation itself continues communicating effectively.
How quickly can an incident be acknowledged? Who owns technical accuracy? What happens if the mobile app or USSD channel is unavailable? How are developers, merchants and enterprise partners informed? Can customer support provide reliable guidance before speculation overtakes facts? These questions belong not to corporate affairs alone but to operational resilience itself.
Perhaps it is time for the industry to adopt an additional resilience metric. Alongside Recovery Time Objectives (RTOs) and Recovery Point Objectives (RPOs), organisations should begin measuring what might be termed an Information Recovery Objective—the maximum acceptable interval between the detection of a significant operational incident and the publication of authoritative information to customers, partners and regulators.
From a technical perspective, an outage may last only minutes. From the customer’s perspective, however, the outage lasts until uncertainty ends. Reducing that uncertainty should be regarded as a measurable operational objective rather than an aspirational communications goal.
A practical expression of this philosophy is the adoption of publicly accessible, independently hosted, real-time service status platforms. Such platforms should not be dismissed as customer support tools or marketing assets.
They constitute production infrastructure. Their purpose is to provide a trusted, authoritative view of service health that remains available even when primary systems experience degradation.
Supported by machine-readable APIs, these platforms enable merchants, developers and enterprise customers to automate contingency measures, reroute transactions where appropriate and distinguish between local integration issues and wider ecosystem incidents.
Operational transparency therefore becomes an enabler of resilience across the broader digital economy rather than merely within a single organisation.
This distinction becomes increasingly important as financial services evolve towards instant payments, open finance, embedded banking and programmable money.
The more interconnected digital ecosystems become, the greater the probability that a disruption within one institution will have downstream implications across multiple industries.
Resilience can no longer be considered solely an internal capability. It is rapidly becoming a shared responsibility that depends upon timely information flowing across organisational boundaries with the same reliability as financial transactions themselves.
Boards of directors and executive leadership teams should therefore broaden their understanding of operational resilience. Investment decisions should not focus exclusively on infrastructure modernisation or cybersecurity, important though both remain.
Equal attention must be given to incident management frameworks, executive decision-making during crises, communication governance, customer notification mechanisms and regular simulation exercises that test organisational behaviour under realistic operational conditions. These capabilities are not ancillary to resilient infrastructure; they are integral to it.
Regulators, too, have an opportunity to shape the next generation of resilience standards. As expectations around cyber resilience and operational continuity continue to mature, so too should expectations regarding transparency during service disruptions. Institutions entrusted with moving a nation’s money or enabling its commerce carry responsibilities that extend beyond restoring systems as quickly as possible.
They also have a duty to provide accurate, timely and accessible information to the citizens, businesses and partners who depend upon those systems every day.
Ultimately, resilience is not measured by the absence of failure. In complex distributed environments, failure is unavoidable. What distinguishes mature institutions is their ability to ensure that failure remains controlled, well understood and transparently managed. Customers are remarkably willing to forgive technical faults when they are treated with honesty and respect.
They are far less forgiving when left to diagnose the health of critical infrastructure through repeated failed transactions or rumours circulating online.
The unspoken rule of infrastructure downtime is therefore deceptively simple. Customers should never be the first to discover that a critical service has failed, nor should they have to search for reliable information while an incident unfolds.
Communication is no longer adjacent to infrastructure, nor is it merely a function of corporate affairs. In an economy where trust moves as quickly as data, communication has become an integral part of the infrastructure itself.
The organisations that recognise this reality will not eliminate chaos, but they will manage it with greater transparency, greater confidence and, ultimately, greater public trust.
Mbugua Njihia is a technology venture builder, digital infrastructure & financial ecosystems expert
