
Partner spotlight series: How Cognizant accelerates enterprise performance engineering with Tricentis NeoLoad
Learn how Cognizant uses Tricentis NeoLoad to validate enterprise-grade agentic AI platforms, certify mission-critical utility systems, and cut scripting effort by 50% across 100+ global customers.

Every year, wildfire season puts millions of people and thousands of miles of power infrastructure at risk across the western United States. For one major U.S. power utility, the question was not whether demand would spike; it was whether its customer-facing and outage management systems could handle it when it did.
The stakes were not theoretical. During a Public Safety Power Shutdown, customers flood digital channels to check outage status, report hazards, and get restoration timelines. If those systems buckle, the consequences go beyond bad user experience; they become a public safety issue.
Cognizant partnered with the utility to migrate its performance testing to Tricentis NeoLoad and simulate demand spikes of up to six times normal usage. Each year, the team certifies nearly ten mission-critical applications for wildfire readiness, validating that the systems people depend on in an emergency will hold up when it matters most. The migration to NeoLoad also delivered significant tool cost savings, freeing budget for broader quality engineering investment.
That engagement captures something about how Cognizant and Tricentis work together: Performance assurance is not treated as a last-minute checkpoint; it is embedded into how critical systems are built, validated, and trusted at scale.
Delivering results across industries with Tricentis NeoLoad
What makes Tricentis NeoLoad central to this partnership is its role as an accelerator — reusable test components, automated correlation frameworks, and AI-powered analysis that compress timelines and cut manual effort across every engagement.
The wildfire readiness story is one of many. Across industries, Cognizant teams are using Tricentis NeoLoad to solve performance challenges that are specific in their details but share a common thread: systems that cannot afford to fail under pressure.
Cutting scripting effort in half for a major insurance provider
A large U.S.-based insurance provider needed performance testing across more than 70 complex business scenarios within the Guidewire Claim Center and its surrounding systems. The scripting overhead alone slowed the team down. Cognizant built an automated Tricentis NeoLoad correlation library with intelligent detection that reduced script development effort by approximately 50% and accelerated monthly regression cycles by 25%, improving both delivery efficiency and release confidence.
Doubling reporting speed during an SAP S/4HANA migration
When a European appliances manufacturer migrated from SAP ECC to S/4HANA, performance validation was critical to avoid regression in live customer workflows. Cognizant ran comprehensive performance evaluation using Tricentis NeoLoad, identifying and resolving key bottlenecks that delivered a two-times improvement in critical reporting response times and zero degradation in CRM user flows post-upgrade. Existing functional automation assets were reused for performance testing, optimizing script development, and accelerating validation timelines.
Accelerating performance assurance for agentic AI
The engagements above involve systems that enterprises have been running for years. But Cognizant and Tricentis are also tackling something newer and far less predictable: ensuring that agentic AI platforms perform reliably under real-world conditions.
As enterprises scale AI-powered assistants, copilots, and multi-agent automation, performance assurance enters new territory. These architectures integrate LLM-driven cognition, tool orchestration, and adaptive memory frameworks, delivering outcomes without rigid workflows but introducing non-deterministic behavior, dynamic workloads, and continuous learning patterns that traditional testing cannot handle.
Cognizant adopted Tricentis NeoLoad to validate an enterprise-grade agentic AI ecosystem deployed on secure Microsoft Azure infrastructure, supporting OpenAI-powered LLM workflows, vector storage, and agent-orchestration components. The team tested 40–50 functional combinations covering FAQ automation and agent-driven task workflows across multiple rapid test cycles. Tricentis NeoLoad’s capabilities proved critical at every stage. It measured end-to-end response times across dynamic conversational flows, validated throughput under heavy concurrent loads, and identified and resolved the API-level error patterns, including timeouts, rate limits, and downstream failures. Infrastructure utilization for CPU, memory, token-usage patterns, and autoscaling efficiency were monitored continuously.
The results: a 50% improvement in response latency after optimization, significant error rate reduction through API tuning and microservice-level configuration, and response-accuracy validation confirming both deterministic and non-deterministic LLM behavior met business thresholds. NeoLoad’s GUI-based analytics interface made deep-dive insights accessible fast, while its AI-based Augmented Analysis engine cut manual metric interpretation time, and its Anomaly Detection engine surfaced root causes and hotspots during high-volume tests.
The outcome: a production-ready agentic AI platform combining advanced intelligence with operational resilience validated on performance data, not assumptions.
A partnership built on scale, capability, and continuous innovation
Cognizant’s partnership with Tricentis is built on more than individual project wins. It is a long-standing, strategic collaboration focused on advancing continuous quality engineering, not just tool adoption. Tricentis NeoLoad became the preferred performance testing platform within this partnership because of its modern framework-aware design and strong alignment with enterprise delivery needs.
Today, Cognizant supports around 25 global customers using NeoLoad, backed by 500+ certified practitioners across a strong ecosystem of NeoLoad-skilled performance engineers. This capability is reinforced through active Communities of Practice, reusable accelerators, and the integration of Tricentis NeoLoad into Cognizant’s Quality Engineering Centers of Excellence. Joint enablement initiatives and regular participation in Tricentis global conferences keep practices evolving alongside emerging technologies and enterprise needs across regions and industries.
The strength of the collaboration has been recognized through multiple industry accolades:
- Global Workforce Transformation Partner 2026
- AMS Certification Partner 2026
- AMS Quality Engineering Practice Partner 2025
- Global Performance Testing Partner of the Year – four consecutive years running from 2022 through 2025
What comes next
As enterprises adopt increasingly intelligent, interconnected, and business-critical platforms, the nature of performance assurance is changing. Validating an AI system is not the same as load-testing a web application.
Cognizant and Tricentis share a common perspective: as agentic AI systems become more autonomous and adaptive, performance assurance must evolve with them. Validating these systems demands continuous testing, deeper observability, and intelligent analysis. By combining Cognizant’s AI and performance engineering expertise with Tricentis NeoLoad’s AI-enhanced analytics, anomaly detection, and augmented analysis capabilities, teams gain the insights needed to detect issues early, understand root causes, and optimize systems continuously. The goal is straightforward: make sure AI solutions deliver consistent, enterprise-grade performance in production, and not just promise in experimentation.
The partnership continues to evolve around AI-driven quality engineering, continuous testing, and scalable delivery models that help organizations move faster without increasing operational risk. What holds this partnership together is a shared commitment: to help enterprises build systems that are not only innovative and feature-rich, but resilient, scalable, and ready for what comes next.
“Tricentis has been a trusted partner in performance engineering for over a decade. NeoLoad is a core performance engineering platform for several of our marquee customers across industry verticals, enabling us to deliver differentiated value at scale.
NeoLoad’s AI-driven capabilities, including Augmented Analysis, are further enhancing the precision and speed with which we assure performance and scalability of complex enterprise systems, including AI-powered and agentic platforms.
We look forward to deepening our collaboration with Tricentis to bring joint, innovation-led offerings to our customers.”
– Jayapriya Jagannathan, Global Delivery Head – Non Functional Testing CoE , Cognizant
About Cognizant
Cognizant is one of the world’s leading professional services companies, engineering modern businesses to improve everyday life. With a global delivery footprint and deep industry expertise, Cognizant helps clients modernize technology, reimagine processes, and transform experiences across their enterprises.
The Tricentis Partner Spotlight Series highlights how our partners leverage the Tricentis suite of products to excel in quality engineering and help our mutual customers meet their goals. If you’re a partner and would like to be considered for the series, please get in touch with your Tricentis partner manager!
