Enterprises across industries face mounting complexity. Many are operating complex technology estates that comprise multi-cloud environments, legacy systems, multi-digital channels, microservice integrations and emerging generative AI and agentic systems designed to automate business processes and tasks.
In this environment, traditional IT operations that have served well historically are causing friction and creating risks due to fragmented processes, mounting operational debt, and high costs that compromise the ability to innovate and create value.
Agentic AI as the game-changer to IT operations
The good news is that the advent of agentic AI unlocks new techniques to address these traditional challenges, while driving operational excellence and enhancing business resilience.
AI agents for IT operations can bring a whole new level and quality of self-service, embedded in day-to-day tools and workflows. Agents can accelerate solutions requiring self-healing automations, allowing a broader range of system issues to be addressed without continuous human intervention. For critical and complex issues, AI agents assist the incident management process with diagnosis data, potential root cause and possible resolutions, enabling faster service restoration.
“Human plus machine operations are the new reliability standard—fast, predictive, and continuously improving, said Amudha Chinnaswamy, Practice Head – ADM, Software and Platform Engineering, Cognizant”
By automating repetitive tasks at scale, enabling proactive problem resolution and providing data-driven insights that guide organizations in preventing future incidents, Cognizant® Resilient IT Operations solutions aims to help reduce operational debt, progressively minimizing costly downtimes and unplanned outages.
Scaling agentic AI with the 3S model
As IT operations evolve, organizations need systems that are not just reactive, but adaptive and resilient. By leveraging agentic AI and real-time insights, Cognizant’s AI-driven resilient IT Operations 3S model—Self-serve, Self-heal, Self-adapt—lays the foundation for resilient operations that scale with business needs.
Self-serve
AI-powered, end-user-facing agents autonomously resolve routine issues, enhancing productivity and delivering superior customer experience.
Self-heal
Advanced observability and automated remediation proactively detect and address system anomalies, reducing downtime and improving operational reliability.
Self-adapt
Site Reliability Engineering (SRE) practices and continuous improvement frameworks strengthen resilience and ensure IT operations evolve with business needs.
As a result, enterprises can deliver continuously improving, resilient services with high availability that drive business potential. Agentifying IT operations allows technology teams to shift their focus from maintenance to strategic innovation, enabling businesses to accelerate development, capitalize on new opportunities, and stay ahead of the competition.
Ultimately, solutions like Cognizant Resilient IT Operations will pave the way forward for autonomous operations in the AI era.
Click here to learn about how Cognizant® Resilient IT Operations can advance the agentic AI journey.
