A Business Playbook for Thriving in Uncertainty: How to Turn Short-term Disruption into Long-term Advantages

Multi-Cloud Strategy Defies Geopolitical Risks

Geopolitical tensions are increasingly disrupting IT operations and forcing organizations to rethink how they design and manage their technology environments. Trade restrictions, sanctions, and export controls, especially in critical domains such as semiconductors and cloud infrastructure, are limiting access to key technologies and vendors. For example, the United States is considering new AI chip export regulations that would require foreign nations to either commit investments in US-based AI data centers or provide specific security guarantees in order to obtain shipments of 200,000 chips or more [3].

At the same time, tightening data sovereignty regulations are compelling companies to store and process data locally, fragmenting what were previously centralized systems. In response to the European Union’s General Data Protection Regulation (GDPR), which restricts data transfers outside the European Economic Area, Microsoft has introduced its EU Data Boundary for the Microsoft Cloud to ensure that customer data for EU clients remains stored and processed within the region [4].

To navigate these geopolitical and regulatory constraints, many organizations are accelerating the adoption of multi-cloud strategies to improve resilience and reduce dependency on any single provider or geography. By distributing workloads across multiple cloud platforms and regions, companies can better mitigate risks linked to vendor lock-in, regulatory changes, or regional disruptions.

According to a 2025 KPMG study, 87% of organizations reported operating in a multi-cloud model, citing several key advantages [5]:

• Improved scalability to handle fluctuating demand across regions and workloads.
• Access to specialized services and innovations available from different cloud providers.
• Risk diversification by avoiding dependence on a single vendor, jurisdiction, or infrastructure footprint.

However, while multi-cloud strategies enhance flexibility and resilience, they also introduce substantial operational complexity. Differences in tools, architectures, and configurations across providers often create integration challenges and inconsistent performance. Security becomes particularly difficult to standardize as organizations must protect a broader attack surface with limited end-to-end visibility and control.

To address these issues, global companies are increasingly partnering with specialized technology vendors to audit and strengthen their multi-cloud environments. One leading conversation intelligence company, for instance, struggled to manage identity across multi-cloud deployments spanning Microsoft Azure and AWS. The organization faced several critical challenges:

• Fragmented security controls across multiple cloud platforms.
• Difficulties implementing a seamless Zero Trust security model.
• Limited visibility into security events across distributed systems.

By partnering with FPT, the company implemented a unified identity and security framework leveraging Azure Active Directory (Azure AD), Entra ID, and additional security enhancements. This approach streamlined identity management, improved system-wide visibility, and strengthened the overall security posture, resulting in a 70% reduction in unauthorized access attempts across its multi-cloud environment.

AI and Managed Services Optimize Resource Allocation

In periods of uncertainty, effective resource allocation becomes a critical lever for both resilience and growth. AI and managed services help organizations optimize costs while ensuring that people, technology, and budget are directed to the areas that create the most value.

AI, in particular, drives efficiency through intelligent automation that streamlines workflows, reduces manual effort, and frees up human talent for higher-value tasks. This allows organizations to reallocate time and budget from repetitive activities to innovation and strategic initiatives.

For example, a global provider of professional services and technology solutions in the risk and insurance value chain embedded AI across its Software Development Life Cycle (SDLC) to accelerate the development of a cloud-native, AI-first claims platform. Partnering with FPT, the company implemented a "Triple Effect" AI strategy across the delivery lifecycle, leveraging AI agents to automate key stages of development, including:

• Requirement analysis: AI helps break documents into smaller features, generate specification documents, and run clarification commands to refine requirements and user stories.
• Design & Planning: AI agents generate technical specifications, create implementation plans, and produce actionable task lists from architectural documents.
• Testing: AI automates the creation of contract tests, integration tests, and end-to-end testing scenarios to ensure high coverage.

This AI-enabled approach delivered substantial efficiency gains, reducing manual workload by 37% across the development cycle. Code generation accelerated by up to five times, while defects dropped by 62%.

These improvements translated directly into business impact, contributing to an over 20% increase in profit margin through faster time-to-market and improved product quality. In practice, this means engineering resources can be reassigned from rework and maintenance to building new products and enhancing customer experiences.

Complementing AI, managed services help organizations reduce the burden of maintaining in-house infrastructure and specialized talent. By shifting from capital-intensive models to scalable, usage-based services, companies can convert fixed costs into more flexible operating expenses and deploy budgets more strategically.

A diversified investment firm, for instance, faced challenges including limited monitoring capabilities, high operational costs in Hong Kong, and inconsistent SLA performance that affected user experience. By appointing FPT as its managed services provider, the company modernized its IT operations through integrated infrastructure monitoring, centralized service management, and 24/7 support.

Leveraging FPT’s delivery center in Vietnam, the organization was able to shift certain costs from CAPEX to OPEX, enabling more flexible, long-term cost distribution and better alignment of spending with business demand. As a result, the company achieved a 15% reduction in operating costs within the first year, while significantly improving service quality, reaching 100% infrastructure monitoring coverage and boosting user satisfaction for IT support services by 80%.

Global Delivery Model Ensures Scalable Talent Access

Rising deglobalization is creating substantial barriers to global talent access, reshaping how organizations build and sustain their workforce. Tightening immigration policies in developed economies are limiting talent mobility and pushing up the cost of hiring foreign professionals. For example, the US has moved to raise the fee for H-1B visas, requiring companies to pay around US$100,000 annually per foreign worker they seek to employ [6]. In addition, the administration is also considering increasing minimum wage requirements for highly skilled foreign workers by 21%–33% to encourage domestic hiring [7]. Similarly, the UK has raised salary thresholds for skilled worker visas from £38,700 to £41,700 while narrowing the list of eligible occupations. These policy shifts are already reshaping global talent flows: according to BCG, cross-border talent mobility across 200 countries declined by 8.5% in 2025, marking the first drop since 2020 [8]. For businesses, this translates into greater difficulty filling critical roles, especially in high-demand fields such as technology, along with rising recruitment and onboarding costs.

To navigate these constraints, many organizations are diversifying their talent pools by hiring cross-border freelancers and engaging multiple technology vendors. These strategies broaden access to skills, reduce reliance on a single location, and help mitigate geographic disruptions. However, they also introduce significant operational complexity, particularly in the following areas:

• Regulatory management: Overseeing a distributed, cross-border workforce exposes organizations to multiple, often inconsistent legal and regulatory frameworks. In fact, 46% of APAC business leaders cite regulatory inconsistency as the primary barrier to effectively managing distributed teams [9].
• Integration and technology alignment: Coordinating work across multiple freelancers and vendors, each relying on different tools, standards, and methodologies, makes seamless system integration far more difficult.
• Compliance in regulated sectors: In industries such as financial services and healthcare, adherence to frameworks like HIPAA and HITRUST demands strict governance. Ensuring that all vendors consistently meet and maintain these standards is challenging and resource-intensive.

As a result, while diversifying talent pools can increase resilience and spread risk, it also amplifies complexity in operational management, system integration, vendor coordination, and regulatory compliance.

An increasingly effective alternative is to partner with technology providers that operate under a Global Delivery Model. By combining onshore, nearshore, and offshore capabilities, providers such as FPT enable organizations to tap into a scalable global talent pool while minimizing regulatory and operational friction. With more than 33,000 IT professionals across over 30 countries and territories, FPT allows companies to ramp resources up or down in line with demand, without facing the constraints typically associated with cross-border hiring.

Beyond talent access, these providers deliver end-to-end IT services, enabling organizations to design, build, operate, and manage systems through a single partner. This model simplifies vendor management and unlocks the benefits of consolidation, while still mitigating geographic concentration risks through a distributed delivery footprint. From a compliance standpoint, global providers are responsible for maintaining consistent standards across their entire delivery network, ensuring that systems developed anywhere meet stringent regulatory requirements. They also tend to be early adopters of emerging standards; for instance, FPT was the first company in Vietnam and the second in Southeast Asia to achieve ISO/IEC 42001:2023, the first global standard for AI Management Systems.

How FPT’s Global Delivery Model works:

The effectiveness of this model is evident in its adoption by global enterprises. In one case, FPT helped a broadband service provider transition to a full CI/CD operating model, covering the design and implementation of end-to-end pipelines across a broad portfolio of products, alongside the modernization of legacy systems.

To accelerate delivery, FPT assembled a dedicated offshore team responsible for architecture, design, development, and testing, working in close coordination with an onshore team aligned with the client’s business and technical objectives. By enabling multiple teams to operate in parallel under a unified delivery framework, the collaboration significantly sped up execution—reducing a typical 18–24 month program to just 9 months and achieving up to 75% acceleration.

Conclusion: From Resilience to Competitive Advantage

In a world where disruption has become the default setting, the real differentiator is no longer survival, but the ability to systematically turn uncertainty into advantage. By embracing multi-cloud architectures, businesses insulate themselves from geopolitical shocks while gaining the flexibility to adapt as regulations and markets shift. At the same time, combining AI with managed services enables sharper resource allocation, converting fixed costs into scalable capacity and redirecting human talent toward innovation instead of routine work. When this is reinforced by a robust Global Delivery Model, organizations unlock borderless access to skills and execution power without being trapped by local constraints. The question for leaders is no longer whether volatility will intensify, but how quickly they can rewire their operating models to be ready when the next wave hits.