Cognizant has been selected by SITA to implement its SKY program, a finance-led transformation that will move finance, procurement and supply chain operations onto a modern cloud platform. The project will use Oracle Fusion Cloud, shared data and agentic AI capabilities to modernize financial planning and management across SITA’s operations in more than 200 countries and territories.

Cognizant is taking on a major enterprise finance transformation project with SITA, aiming to replace fragmented financial and procurement processes with a cloud-based platform designed to incorporate AI into everyday operations.

SITA, a technology provider serving the global air transport industry, has selected Cognizant as the implementation and transformation partner for its SKY program. The groupwide initiative covers finance, procurement and supply chain processes and is intended to give SITA a common data and operating foundation as the organization expands.

At the center of the project is Oracle Fusion Cloud, which SITA plans to use to standardize core processes. Cognizant will implement a cloud ERP and management platform covering financial planning, performance management, project management and procurement.

The project reflects a broader shift in enterprise technology: finance modernization is increasingly moving beyond replacing legacy ERP systems. Organizations are looking to connect financial data with planning, procurement and operational workflows while adding AI capabilities that can help employees interpret information and act on it.

For SITA, the objective is to make finance a more strategic function rather than primarily an administrative one. Connecting planning, performance and procurement through a shared data foundation could give finance teams a more consistent view of operations and help the company identify changes in demand, resource requirements and business performance earlier.

AI is expected to play a significant role in that model. Cognizant says its implementation approach combines its finance transformation experience with generative AI implementation agents and intellectual property developed through more than 800 cloud ERP projects.

The company also plans to use embedded AI capabilities within the enterprise platform alongside custom agents built using its own agentic AI capabilities. These systems are intended to support activities including planning, forecasting, project management and routine finance operations.

That distinction is increasingly important in the enterprise AI market. Rather than deploying a standalone chatbot alongside existing software, companies are beginning to embed AI directly into business applications. In an ERP environment, agents could potentially assist with tasks that previously required employees to navigate multiple systems, interpret financial information manually or initiate repetitive workflows.

However, the value of such deployments depends on the underlying data and operating model. An AI agent operating on inconsistent financial information or disconnected procurement processes can automate inefficiency rather than eliminate it. SITA’s strategy therefore combines ERP standardization, a shared data foundation and AI capabilities rather than treating AI as an isolated technology layer.

The approach also places the project within the rapidly evolving AI-powered enterprise software market. Oracle, Microsoft, SAP, Salesforce and other major technology companies are incorporating AI agents into business applications, while systems integrators such as Cognizant, Accenture and Deloitte are positioning themselves as partners for implementing these capabilities across complex enterprises.

Cognizant’s experience with cloud ERP implementations could become particularly relevant as enterprises move from experimentation to production deployments. The company says its approach draws on lessons and intellectual property from hundreds of cloud ERP projects, while combining those capabilities with newer agentic AI technologies.

For SITA, the global scale of the organization adds another layer of complexity. Standardizing finance and procurement processes across operations spanning more than 200 countries and territories requires consistent workflows while accommodating different operational and regulatory requirements.

A modern cloud platform could provide SITA with a more unified foundation for planning and resource allocation. AI-assisted forecasting and performance analysis could then help finance teams spend less time consolidating information and more time evaluating business decisions.

The initiative is also an example of how AI in financial technology increasingly extends beyond banks and payment providers. Enterprise finance systems are becoming an important deployment environment for AI because they contain structured operational and financial information that can support forecasting, planning and decision-making.

Still, the project should not be viewed simply as an AI rollout. The larger transformation is the modernization of SITA’s enterprise operating model, with AI being incorporated into that foundation. Governance, data quality, security and human oversight will determine how effectively those AI capabilities translate into measurable business outcomes.

SITA CFO Nicolas Husson said the company expects standardizing core processes on Oracle Fusion Cloud and integrating AI into operations to create a more agile finance organization and foundation for growth.

For Cognizant, meanwhile, the engagement demonstrates the growing role of systems integrators in the transition toward agentic enterprise platforms. As companies modernize ERP infrastructure, implementation partners increasingly have an opportunity to shape how AI is embedded into finance, procurement and supply-chain workflows.

The SITA project ultimately illustrates a broader enterprise technology trend: cloud ERP is becoming less about moving existing processes into a hosted environment and more about creating a connected operating foundation where data, automation and AI can work together.

Market Landscape

Enterprise resource planning is shifting toward AI-enabled business platforms, with Oracle, SAP, Microsoft and other vendors embedding generative and agentic capabilities into core applications. Systems integrators are increasingly responsible for connecting those capabilities to real-world processes.

Finance is a particularly important use case because planning, forecasting, procurement and performance management depend heavily on structured enterprise data. Successful deployments therefore require ERP modernization, data standardization and governance alongside AI.

For financial technology providers, the development signals that AI-driven automation is expanding beyond customer-facing applications into the internal infrastructure that financial and operational teams use to run global businesses.

Top Insights

• SITA’s SKY program will modernize finance, procurement and supply chain operations using Oracle Fusion Cloud and a shared enterprise data foundation.
• Cognizant plans to embed generative and agentic AI capabilities into planning, forecasting, project management and daily finance workflows.
• The initiative reflects a shift from standalone AI tools toward intelligent enterprise platforms embedded directly into core business processes.
• SITA operates across more than 200 countries and territories, making standardized global finance and procurement infrastructure strategically important.
• Cognizant says its AI approach draws on intellectual property developed through more than 800 cloud ERP projects.

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