From testing to trust: Why quality engineering is becoming the control plane for AI driven enterprises

Enterprises are under pressure to deliver software faster without sacrificing trust. AI generated code, continuous delivery, and increasingly agentic systems are accelerating change faster than traditional quality practices can validate it. For enterprises running multi-layered tech stacks, weekslong regression cycles and performance issues that are discovered by customers in production are symptoms of a behind-the-scenes quality model that was built for a slower era.

As AI generates more code more quickly, speeding up release cycles and magnifying risks and defects, testing teams need to approach quality engineering from a new perspective.

The Accenture-Tricentis partnership was built for this era. This partnership has delivered efficiency gains, comprehensive test coverage, and faster bottleneck identification across industries. And as both organizations invest in agentic AI, the foundation they’ve built together is well-positioned for what comes next.

A repeatable pattern of success across enterprises

Efficiency gains at a cloud computing company

Working with Accenture, Tricentis helped an American cloud computing company where fragmented tooling across its stack meant end-to-end automation was more aspiration than reality. Every release felt like a gamble.

Working together, Accenture and Tricentis changed the math. By re engineering quality as an integrated system — embedded into CI/CD pipelines, test management and performance validation — the organization shortened feedback loops dramatically.

Accenture also rolled out Tricentis NeoLoad to overhaul performance testing, replacing ad hoc scripting with reusable components, automated correlation frameworks, and Git-based collaboration.

As a result, regression cycles dropped by 80%, while scripting effort and bottleneck identification time fell by more than half. Together, the partnership created a repeatable foundation the organization could rely on after each release.

At its core, though, this effort was driven by a shift in mindset: quality stopped being something teams checked and became something they engineered.

100% automation coverage for a multinational food chain

Years of fragile, script-heavy automation left a major American food chain with an untrusted test suite. Coverage gaps were widespread across critical applications and maintenance consumed disproportionate effort.

With a modern, model-based approach, the company achieved 80% regression automation coverage across SAP and critical non-SAP application landscapes. Value stream mapping drove up to 50% regression effort reduction.

The broader lesson: automation only delivers value when it is designed to scale as an operating model rather than a project.

A pharmaceutical leader needing GxP-compliant performance validation

Conventional testing tools could not handle the dynamic behavior introduced by modern; AI enabled applications at a leading life sciences and pharma company. The organization adopted an automated, GxP compliant performance validation process to address dynamic, AI-driven application behavior eliminating manual testing while improving accuracy and regulatory confidence.

As systems become more probabilistic, validating intent and behavior becomes as critical as validating functionality.

Why AI belongs at the center of quality engineering

What connects these engagements is Accenture and Tricentis’ shared belief that AI belongs at the center of quality engineering.

AI powered delivery depends as much on people and processes as on technology. When intelligence is embedded across automation, performance, and change analysis, teams gain higher coverage, faster feedback, and more resilient quality at scale.

In large SAP programs, this makes automation the standard rather than the exception — shifting focus from a question of whether to automate to scaling automation as a standard operating model.

As AI generated code and configurations proliferate beyond ERP, validating intent, data, and integrations becomes as critical as validating functionality.

More: SAP testing is broken. Agentic AI is how we fix it.

Building talent on a global scale: shared vision, shared outcomes

Technology does not transform quality on its own. People do. Accenture organizes its quality engineering practice around three pillars: the work, the workbench, and the workforce, and Tricentis plays a role in each.

The work: ties quality to business outcomes. When IT and the business share a single view of success, quality directly influences speed, resilience, and user experience. Tricentis helps teams measure and operationalize that value.

The workbench: includes modern platforms that make automation, performance engineering, and change intelligence accessible and scalable. Accenture has seen enterprises compress an 18-month automation migration to days using generative AI. Tricentis delivers the underlying scalable platform, from no-code automation in Tricentis Tosca to AI-powered impact analysis in Tricentis LiveCompare.

The workforce: cultivates engineers trained to think systemically, not just test scripts. Accenture has built a bench of more than 750 Tricentis-certified practitioners worldwide through large-scale test-a-thon events, train-the-trainer models, and hands-on enablement programs.

Enterprises that invest across all three are able to build quality as a core function rather than a project-level fix.

Webinar: Leveraging AI and automation to manage quarterly Oracle updates: Experts from Accenture and Tricentis share tips

A partner’s perspective: why this partnership works

Since 2016, Tricentis and Accenture have partnered around a shared goal: helping enterprises accelerate transformation without sacrificing quality. To date, the collaboration has supported more than 400 global client engagements spanning SAP transformations, performance engineering, test governance, and AI-led quality engineering.

For Accenture, the partnership’s value comes down to a connected quality engineering foundation that brings automation, performance, and change intelligence together as a system. qTest for test management, Tosca for automation, NeoLoad for performance, LiveCompare for SAP impact analysis, and Tosca DI for data integrity delivered without having to build bridges between disparate tools.

That breadth matters because transformation work demands business outcomes, not just high automation coverage.

With Tricentis’ AI-powered quality engineering platform integrated into Accenture’s global delivery offerings, clients benefit from continuous testing, intelligent automation, performance validation, and data integrity across the software lifecycle.

At Accenture, the future is defined by reinvention. It’s no longer just about automation – it’s about delivering tangible business value through quality engineering that embeds trust, resilience, and speed into every release. Our ecosystem partners, including Tricentis, play a pivotal role in this journey, enabling AI-native capabilities that accelerate innovation, strengthen outcomes and drive shared success – Mallika Fernandes, Managing Director, Quality Engineering, Accenture.

Recognition

Accenture’s impact through the partnership has been recognized with several Tricentis awards, including:

• Global Oracle Transformation Partner 2026
• Global AI Innovation Partner 2026
• Global Digital Transformation Partner 2025
• Global Oracle Transformation Partner 2025
• AMS Oracle Partner 2024
• AMS Public Sector SI Partner – Accenture Federal 2024
• Canada Partner of the Year 2024
• APAC Partner of the Year 2024
• Japan Partner of the Year – Accenture Japan 2024

A partnership built for what’s next

As enterprises look to the future, the pressure to deliver faster without sacrificing trust will only intensify. AI will keep reshaping how software gets built, and quality engineering will determine how reliably it gets delivered.

For Accenture, the partnership with Tricentis brings a strategic edge: a forward-looking quality engineering platform, an alignment around AI-first thinking, and the ability to deliver measurable outcomes on a global scale. For Tricentis, it brings real-world proof of what quality engineering looks like when deeply embedded into enterprise delivery.

About Accenture

Accenture helps the world’s leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed for organizations across industries. Their strategy is to be the reinvention partner of choice for their clients and lead in the safe, widespread adoption of AI, and to be the most client-focused, AI-enabled, great place to work in the world. They bring together the talent of their approximately 786,000 people with proprietary assets and platforms, deep process and industry expertise, and leading ecosystem relationships to deliver end-to-end solutions and measurable outcomes at scale. Through their Reinvention Services, they offer broad expertise across Cybersecurity, Digital Core, Finance, Industry and Enterprise, Song, Supply Chain and Engineering, and Talent, with advanced capabilities in AI and Data, Industry and Process, and Technology. They serve approximately 9,000 clients and generated approximately $70 billion in FY25 revenue. Visit them at accenture.com.

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.