Global Capability Centers (GCCs) have become one of the fastest-growing enterprise operating models as multinational corporations seek lower-cost talent, operational resilience, and access to specialized digital skills. But despite the rapid expansion of GCC strategies worldwide, the process of planning and launching these centers remains heavily dependent on consultant-led analysis, fragmented workflows, and lengthy decision cycles.
That inefficiency is becoming increasingly difficult for enterprises to tolerate as global expansion strategies accelerate under mounting pressure from AI adoption, digital transformation, and geopolitical uncertainty.
This week, enterprise GCC intelligence platform Aokah said it has been named an HFS Hot Tech Vendor for 2026 by research and advisory firm HFS Research, recognition that underscores the growing emergence of AI-driven “services-as-software” platforms designed to automate traditionally consulting-heavy enterprise processes.
The designation follows growing enterprise interest in AI-native execution platforms that compress decision-making timelines around GCC location strategy, workforce planning, and operational rollout.
According to HFS Research, Aokah was recognized for helping enterprises replace weeks of manual advisory work with AI-powered execution intelligence workflows capable of delivering faster, evidence-based GCC planning outcomes.
“The market for GCC setup advisory is shifting from a consulting-led, weeks-long decision cycle to a data- and AI-led, hours-long one,” HFS Research said in its 2026 report.
GCC Expansion Is Creating a New Enterprise Software Opportunity
The GCC market has expanded significantly over the past decade as enterprises establish offshore and nearshore operational hubs for technology services, finance, HR operations, engineering, analytics, and AI development.
India remains the dominant GCC market globally, now hosting more than 1,800 centers, while regions across Latin America, Eastern Europe, and Southeast Asia continue attracting investment from multinational corporations seeking diversified talent pipelines.
Yet enterprise GCC execution has remained operationally complex.
According to data cited by Aokah, more than 72% of newly launched GCCs encounter material delays or cost overruns within their first two years, often due to fragmented consulting models, inconsistent location intelligence, and execution bottlenecks between strategy and operational deployment.
That challenge has created a growing market opportunity for AI-enabled enterprise orchestration platforms.
Aokah positions itself within that emerging category by applying AI-driven analytics and workflow automation across the full GCC lifecycle, from initial location analysis through operational scaling and optimization.
The company’s platform is organized into three modules:
- Explorer, focused on GCC location intelligence and business case modeling
- Builder, designed for execution governance and setup orchestration
- Optimizer, a roadmap product targeting ongoing operational benchmarking and productivity analysis
The platform analyzes factors including labor availability, infrastructure maturity, geopolitical risk, ESG indicators, ecosystem depth, and operational cost modeling across more than 500 global cities.
That level of intelligence has traditionally been assembled manually by consulting teams over multiweek engagements using spreadsheets, market reports, and fragmented data sources.
AI Is Reshaping Enterprise Advisory Models
Aokah’s recognition by HFS Research reflects a broader transformation unfolding across the enterprise services industry.
Research firms increasingly describe the rise of “services-as-software” models, where AI-native platforms automate portions of advisory, operational planning, and enterprise execution workflows previously managed almost entirely through human consulting engagements.
HFS estimates this category could influence more than $1.5 trillion in enterprise technology and services spending over the next decade.
The shift parallels broader enterprise software trends already reshaping HR technology, finance operations, supply chain systems, and customer service infrastructure.
Companies such as Microsoft, Salesforce, ServiceNow, Oracle, and SAP are aggressively embedding generative AI and workflow intelligence into enterprise platforms designed to reduce operational friction and accelerate decision-making.
Aokah’s approach extends that trend into the GCC and Global Business Services (GBS) sector, an area historically dominated by large consulting firms including Deloitte, Accenture, EY, KPMG, and specialized GCC advisory providers.
Rather than replacing consultants entirely, platforms like Aokah may change how consulting firms operate by automating data-intensive planning activities while shifting human advisors toward strategic governance and organizational change management.
HFS Research noted that some consulting and research firms are already white-labeling Aokah’s underlying platform intelligence within their own GCC advisory offerings.
That development highlights a larger industry shift where enterprise buyers increasingly interact with AI-powered infrastructure embedded behind traditional consulting services.
Real-Time GCC Intelligence Becomes a Competitive Advantage
One of the stronger signals emerging from the announcement is the growing enterprise demand for real-time decision intelligence.
According to Aokah, a Fortune 500 chemical manufacturer used the platform to evaluate and stress-test GCC location scenarios under CFO-level cost scrutiny in under one week — a process that reportedly would have taken approximately 10 weeks using traditional consulting workflows.
The platform also identified operational risks such as high-attrition labor markets that may not have surfaced through anecdotal consultant recommendations alone.
That capability is becoming increasingly important as enterprises reassess global operating footprints amid geopolitical volatility, rising labor costs, evolving tax structures, and AI-driven workforce transformation.
Enterprises are under pressure to make location decisions faster while simultaneously reducing operational risk exposure.
The emergence of AI-native GCC intelligence platforms may therefore represent more than workflow optimization. It may signal the beginning of a new enterprise operating model where strategic expansion decisions become continuously data-driven rather than consultant-dependent.
Europe Becomes the Next GCC Battleground
Aokah’s expansion into the UK and broader EMEA market in early 2026 reflects another major trend shaping the GCC industry.
European enterprises are increasingly accelerating GCC investments as labor shortages, digital transformation initiatives, and operational modernization programs intensify across the region.
Nearshore delivery models in Eastern Europe, hybrid offshore strategies in India and Southeast Asia, and AI-enabled operating structures are all reshaping how multinational corporations approach enterprise scaling.
As AI adoption accelerates, GCCs are also evolving beyond labor arbitrage models toward specialized innovation hubs focused on analytics, cybersecurity, cloud operations, and AI engineering.
For enterprise leaders, the challenge is no longer simply identifying low-cost delivery centers. It is designing globally distributed operational ecosystems capable of adapting continuously to changing economic, technological, and workforce conditions.
That evolution is creating a new category of enterprise software focused not just on operations management, but on operational intelligence itself.
Market Landscape
The global GCC market is entering a new phase shaped by AI-driven decision intelligence, workforce transformation, and enterprise operating model redesign. Research firms including Gartner and HFS Research have identified increasing enterprise demand for platforms that unify location intelligence, workforce planning, governance, and operational analytics into centralized systems.
As multinational corporations expand distributed operations across India, Eastern Europe, Southeast Asia, and Latin America, demand is rising for AI-native orchestration tools capable of reducing execution risk and accelerating setup timelines.
The broader “services-as-software” movement is also reshaping enterprise consulting, with AI-powered platforms increasingly automating strategic analysis, operational planning, and workflow execution traditionally handled through labor-intensive advisory engagements.
Top Insights
- Aokah’s HFS Hot Tech Vendor recognition highlights growing enterprise demand for AI-native GCC planning platforms that replace traditional consulting-heavy execution models.
- Global Capability Center expansion is accelerating worldwide, creating demand for real-time location intelligence, workforce analytics, and execution orchestration technologies.
- AI-powered “services-as-software” platforms are beginning to automate portions of enterprise consulting workflows across operational planning and strategic decision-making processes.
- Enterprises increasingly require evidence-based GCC location analysis capable of evaluating labor risks, geopolitical exposure, operational costs, and workforce scalability simultaneously.
- Consulting firms themselves are beginning to embed AI-driven GCC intelligence platforms into advisory offerings as enterprise buyers seek faster execution and measurable operational outcomes.
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