Multi-Cloud Strategy Defies Geopolitical Risks 

Geopolitical tensions are increasingly disrupting IT operations, forcing organizations to rethink how their technology environments are designed and managed. Trade restrictions, sanctions, and export controls, particularly in critical areas such as semiconductors and cloud infrastructure, can limit access to key technologies and vendors. For example, the US is considering new AI chip export regulation, requiring foreign nations to commit investments in US AI data centers or provide security guarantees to obtain 200,000 chips or more [3]. At the same time, rising data sovereignty regulations are forcing companies to store and process data locally, fragmenting previously centralized systems. For instance, in response to the European Union’s General Data Protection Regulation (GDPR), which limits 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 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 mitigate risks associated with vendor lock-in, regulatory changes, or regional disruptions. In a 2025 KPMG study, 87% of organizations reported operating in a multi-cloud model, citing improved scalability, access to specialized services, and risk diversification as key advantages [5]. 

However, while multi-cloud enhances flexibility and resilience, it also introduces significant operational complexity. Differences in tools, architectures, and configurations across providers often lead to integration challenges and inconsistent performance. Security, in particular, becomes more difficult to standardize, as organizations must manage a broader attack surface with limited end-to-end visibility and control. In response, global companies are partnering with specialized technology vendors to audit and strengthen their multi-cloud systems. One leading conversation intelligence company, for instance, encountered difficulties managing identity across multi-cloud environments spanning Microsoft Azure and AWS. Key issues included fragmented security controls, challenges in implementing a seamless Zero Trust model, and 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 visibility, and strengthened overall security posture, resulting in a 70% reduction in unauthorized access attempts across its multi-cloud environment.

AI & Managed Services Optimizes Resource Allocation

In times of uncertainty, effective resource allocation becomes a critical lever for resilience and growth. AI and managed services enable organizations to optimize costs while ensuring resources are directed to the areas that matter most. 

AI, in particular, drives efficiency through intelligent automation that streamlines workflows, reduces manual effort, and frees up human talent for higher-value tasks. 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:

  • Requirement analysis: AI assists in breaking documents into smaller features, generating specification documents, and running clarification commands to refine requirements and user stories.
  • Design & Planning: AI Agents generate technical specifications, create implementation plans, and generate actionable task lists from architectural documents
  • Testing: AI automates the generation 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. 

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. A diversified investment firm, for instance, faced challenges including limited monitoring capabilities, high operational costs in Hong Kong, and inconsistent SLA performance that impacted 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, allowing for more flexible, long-term cost distribution. 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 significant barriers to global talent access, fundamentally reshaping how organizations build and sustain their workforce. Tightening immigration policies in developed economies are limiting talent mobility while driving up the cost of hiring foreign professionals. For example, the US recently raised the fee of H-1B visa, asking companies to pay US$100,000 annually per foreign worker they seek to employ [6]. In addition, the administration is also  considering raising minimum wage requirements for highly skilled foreign workers by 21% - 33% to encourage domestic hiring [7]. Similarly, the UK has increased salary thresholds for skilled worker visas from £38,700 to £41,700 while reducing the number of eligible occupations. These policy shifts are already impacting global talent flows. According to BCG, cross-border talent mobility among 200 countries has declined by 8.5% in 2025, marking the first drop since 2020 [8]. For businesses, this translates into greater difficulty filling critical roles, particularly in high-demand fields like technology, alongside rising recruitment and onboarding costs.

To adapt, many organizations are diversifying their talent pools by hiring cross-border freelancers and engaging multiple technology vendors. While these strategies expand access to a broader talent base - reducing reliance on a single location and mitigating geographic disruptions - they also introduce notable operational complexities. First, managing a distributed, cross-border workforce presents regulatory challenges. In fact, 46% of APAC business leaders cite regulatory inconsistency as the primary barrier to effectively managing distributed teams [9]. Second, coordinating multiple freelancers and vendors creates integration and technology challenges. With each party using different tools, standards, and methodologies, ensuring seamless system integration becomes significantly more difficult. Compliance further adds to these issues, particularly in highly regulated sectors such as financial services and healthcare. Adhering to industry-specific standards like HIPAA and HITRUST requires strict governance, making it challenging to ensure that all vendors consistently meet and maintain these requirements. Ultimately, while diversifying talent pools enhances resilience and risk distribution, it also brings increased complexity in operational management, system integration, vendor coordination, and regulatory compliance.

An increasingly effective alternative is partnering with technology providers that operate under a Global Delivery Model. By combining onshore, nearshore, and offshore capabilities, providers like FPT enable organizations to access a scalable global talent pool while minimizing regulatory and operational friction. With over 33,000 IT professionals across more than 30 countries and territories, FPT allows companies to rapidly scale resources based on demand without the constraints of cross-border hiring. Beyond talent access, such providers deliver end-to-end IT services, enabling organizations to design, build, operate, and manage systems through a single partner. This approach simplifies vendor management and unlocks the benefits of consolidation, while still mitigating geographic concentration risks. 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 lead in adopting 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:

This model has been successfully adopted by global enterprises. In one case, FPT helped a broadband service provider transition to a full CI/CD operating model, encompassing the design and implementation of end-to-end pipelines across a wide range of products, alongside the modernization of legacy systems. To accelerate delivery, FPT assembled a dedicated offshore team covering 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, the collaboration significantly sped up delivery - reducing a typical 18–24 month program to just 9 months, achieving up to 75% acceleration.

Thriving in Uncertainty: From Resilience to Competitive Advantage

In an era defined by constant disruption, resilience is no longer sufficient on its own. To remain competitive, organizations must proactively redesign their operating models for long-term adaptability and growth. While Multi-cloud strategies offer the flexibility to navigate geopolitical volatility, AI and managed services enable smarter, more efficient resource allocation. At the same time, Global Delivery Models provide scalable access to talent without the constraints of regulatory barriers. Together, they enable powerful applications for organizations to turn disruption into strategic opportunity. Companies that successfully embrace these strategies will not only endure periods of uncertainty but emerge stronger - more agile, more efficient, and better positioned to capture growth when stability returns.