Managed services for changing more, faster

Analytics, advanced modeling and data science put to work at scale.

Create cross-enterprise deployments of low-code/no-code automation for exponential efficiency.

Deploy AI in nearly all processes, redefining performance benchmarks.

Use ecosystem partnerships to drive AI-led scenario planning to continually reinvent.

Accessing the right skilled workers, continuously training them to meet the demands of changing work, and building a culture that retains the skills needed to transform the business is key. And, 56% of highly skilled workers want a multinational company.

The largest growth area is in research and development (R&D). 75+% of the global capability centers opened since 2021 focus on R&D. Other growing areas include engineering, technology innovation, product design and development, marketing and supply chain.

62% of organizations intend to use their GCCs as data and AI hubs to analyze large volumes of data to streamline decision making.

Carefully consider which technical capabilities must be developed to support each business objective and the reinvention journey overall. Commit to continuous investment in technology.

Many companies are trapped in functional silos. Global capability centers often work cross-functionally, integrating data, technology and business processes. Their multi-disciplinary agility unlocks powerful business outcomes.

Use virtual representations to visualize the as-is process and discover inefficiencies caused by duplicative activities and process deviations.

Those that apply leading practices and benchmark customer, employee and partner experiences are 2.5X more likely to increase operational maturity.

Adapt to change more quickly and improve cost to serve by moving all critical business operations to the cloud.