Clients
Kyndryl and WPP expand strategic partnership to drive enterprise transformation, marketing growth and joint go-to-market innovation
Communiqué de presse
6 oct. 2026
Enterprises are rapidly shifting from experimenting with AI through pilots and productivity tools to a much harder challenge: putting it to work in mission-critical IT environments. This transition raises new, complex questions about how much operational responsibility should be handed over to AI, and where human oversight remains essential. Launched in 2022, Kyndryl Bridge, the company’s AI-powered, open-integration digital business platform, has given Kyndryl’s customers enhanced observability into their IT estates so they can better prioritize investments, benefit from improved operational resiliency and address issues before they occur.
New capabilities are being added all the time, as Kyndryl helps customers modernize their estates, adopt enterprise AI and move toward autonomous AI operations. Its capabilities include a patented AI agent-assisted prediction and prevention capability that was recently recognized with a 2026 CIO 100 award.
Here, Xerxes Cooper, Global Leader, Kyndryl Delivery and Global Integrity Champion and Aashish Chandra, Senior Vice President, Senior Partner, Management Consulting, discuss how Kyndryl Bridge is helping organizations scale agentic AI, prevent IT disruptions and accelerate modernization.
How does agentic AI help with proactive operations?
Xerxes: The biggest opportunity is to help our customers get ahead of disruption instead of simply responding after something goes wrong. Kyndryl Bridge’s prediction and prevention capability uses agentic AI to interpret signals across complex IT environments, identify emerging risks and help our teams act before those risks become business-impacting outages.
By bringing together millions of observability signals across applications and infrastructure, Kyndryl Bridge gives our people the operational context they need to make faster, better-informed decisions. The capability provides early detection for more than 10 million incidents annually and has reduced mission-critical production outages by more than 90% for certain customers.
It can also accelerate root-cause analysis, completing in hours what used to take weeks. But this is not about removing people from the process. Our experts remain involved to apply judgment, validate the insights and determine the right action for each customer environment. That combination of AI, operational data and deep delivery expertise helps customers improve resilience and keep their businesses running.
What is the services-as-software capability on Kyndryl Bridge?
Aashish: Put simply, Agentic Modernization services-as-software means taking our people’s mission-critical and engineering expertise, combining it with capabilities from our AI ecosystem partners, and codifying it into pre-defined, repeatable agentic modernization workflows. We scale this model through Kyndryl Bridge, making it available to 1,400 customers to help meet increased modernization demand for AI, and it was built using our Agentic AI Framework.
These workflows support infrastructure, application and business transformation initiatives across a range of technology environments and IT functions, including distributed and mainframe environments, public and private cloud, network infrastructure, software development and IT operations. Autonomous AI agents take on time-intensive modernization tasks, from discovery and code analysis to code generation, testing and validation. Of course, Kyndryl’s experts and customer teams remain involved throughout the process to provide human oversight, governance and accountability.
For customers, the advantage is that they do not have to build and pilot every AI workflow from scratch. They can start with approaches that have already been developed and tested, reducing the time and cost of experimentation and accelerating the achievement of consistent, high-quality results.
How might predictive and agentic AI change the economics of IT failure?
Aashish: Every IT failure carries costs beyond the outage itself, including potential lost revenue and the time and resources spent on investigating and restoring services. With predictive and agentic AI, organizations can spend less on responding to failures and more on preventing them in the first place. Acting as a control plane, Kyndryl Bridge helps organizations consistently coordinate, govern and scale AI agents, reducing the operational risks and costs of AI adoption.
It can also help eliminate costly planned maintenance by giving organizations better insight into the health of their IT environments, enabling them to pinpoint exactly when intervention is needed. Across Kyndryl Bridge, avoided impact events and planned maintenance costs drive an aggregate of $3 billion in annual customer savings.
Our goal is not to take people out of IT operations. It is to combine AI with human expertise so enterprises can move faster without compromising stability, security or trust.
Why is the leap from AI pilot to production where enterprise strategies break down?
Aashish: An AI pilot can prove that a use case can work under controlled conditions, but moving into production requires agents to operate reliably across complex, mission-critical environments. To do that responsibly, people and agents need a shared view of automations, system health, incidents and their broader IT environment.
That level of insight can be difficult to achieve. Our research found that the average enterprise runs 383 business-critical applications, yet just 9% have fully mapped how those applications and their dependencies connect.
Kyndryl Bridge provides operational truth by bringing those signals together and supplementing them with current external information. This enables the historical context and real-time awareness that people and agents need to operate effectively. And because Kyndryl Bridge is already embedded in IT delivery, organizations can apply what an agent learns in one environment to similar issues in other environments.
What happens when AI starts running the technology behind the enterprise?
Xerxes: When AI starts running more of the technology behind the enterprise, the role of people becomes even more important. We prioritize keeping people in the loop, to set direction, apply judgment and remain accountable, while AI agents interpret signals, identify risks and take action at greater speed and scale. That combination can improve resilience, accelerate modernization and help our people create even greater value for customers.
But greater autonomy must come with greater accountability. AI agents need clear guardrails, operational context and continuous oversight. People must remain accountable for the decisions that affect mission-critical environments.
That is the role of Kyndryl Bridge. It gives organizations the visibility, orchestration and governance needed to run AI agents safely across complex environments. Our goal is not to take people out of IT operations. It is to combine AI with human expertise so enterprises can move faster without compromising stability, security or trust.
