By Giovanni Carraro, Senior Vice President, Global Strategic Alliances
The enterprise technology industry has reached an inflection point — the complexity of modern IT environments now exceeds what any single platform, solutions provider or internal team can manage. For years, organizations have standardized their operations on a central platform and added software tools as needed. But that model no longer works. Cyber threats are increasing in incidence and sophistication. Regulations across global markets are tightening. And the need to reduce technical debt and adopt a hybrid cloud environment has become critical. These industry factors require the use of integrated, outcome-based operating models to simplify modernization and strengthen resilience. The next era of IT services will be shaped by those organizations that are able to orchestrate these complex ecosystems most effectively.
The next era of IT services will be shaped by those organizations that are able to orchestrate these complex ecosystems most effectively.
Understanding the challenge
Cloud and AI adoption have surged faster than most enterprises’ capacity to adapt. While nearly all organizations now operate in the cloud, utilization and governance have lagged. Many companies have cobbled together their cloud environments as needs have grown. But evolving a cloud environment by accident rather than design increases costs, compromises security, weakens operational resilience, and creates unstructured data that slows AI adoption.
The need to infuse AI into operational systems is transforming how businesses invest in technology. But as the 2025 Kyndryl Readiness Report indicates, gaps in data readiness and a scarcity of skills have left many organizations struggling to scale beyond pilots to achieve positive ROI on their investments in AI. True AI transformation requires more than proving concepts or pilot programs that go nowhere. Strategic IT modernization requires workable, integrated approaches across operations and services.
This is where having a strong ecosystem of platform and solutions partners becomes essential. Partners complement the offerings of an infrastructure services provider — transforming it into an engine of innovation and co-creation that combines technical and industry expertise with customer knowledge, business acumen and differentiated skills. As companies seek guidance to implement, integrate and scale AI responsibly, a forward-thinking ecosystem orchestrator can collaborate with customers to design fit-for-purpose systems that erase technical debt, protect IT investments, and deliver positive business results — elevating the relationship from vendor to trusted partner in shared success and growth.
Orchestrating the ecosystem
An ecosystem orchestrator operates across multiple hyperscaler clouds, aligns with software partners and internal IT departments, and takes ownership of architectural design. Those with intentionally curated alliance strategies are best positioned to guide enterprise transformation. With systems integration as the goal, the ecosystem orchestrator coordinates the entire operational protocol from consulting and design to delivery, scaling and benchmarking.
Kyndryl incorporates three core capabilities into its role as an ecosystem orchestrator:
This approach is embodied by Kyndryl’s Agentic AI Framework, which empowers enterprises to be fully AI-enabled. Built on open‑source technologies and fully compatible with the major hyperscalers, it provides a neutral foundation for orchestrating the right partners for every environment.
Here are some highlights of Kyndryl’s role as a trusted ecosystem partner in our customers’ digital transformations:
Kyndryl is partnering with Microsoft and Cloudflare to support a financial institution in Latin America in strengthening its digital resilience and modernizing its mission-critical systems through a simplified cloud-native model.
Looking ahead
As cloud commitments grow, AI adoption accelerates and security pressures intensify, enterprises will rely on ecosystem orchestrators that combine advisory, strategy and delivery services. The pacesetters of the next era of AI enablement will be those that concentrate on transforming complexity into competitive advantages for their customers through collaboration, innovation and expertise.