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By Annie Millerbernd
Oracle’s Fusion Agentic Applications represent a new class of enterprise software. They contain coordinated teams of outcome-driven, proactive AI agents that are engineered to execute business processes across finance, HR, supply chain, and customer experience. For folks who work in those departments, these agents may streamline some of their daily work and help uplevel employees. For testers, they bring a measure of ambiguity. In general, you know how humans use these applications.
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By Eric Newcomer
By now everyone is aware of the limitations inherent in generative AI and the AI agents that use it to complete their tasks, and the challenges involved in getting them enterprise quality. If you are planning to incorporate AI agents into your enterprise IT architecture, how are you planning to validate their quality and accuracy?
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By Tricentis Staff
For the first time ever, artificial intelligence has topped NASCIO’s annual ranking of state CIO priorities, ending cybersecurity’s 12-year reign at number one. It’s easy to see why: public agencies – like their private sector counterparts – see real potential in AI to modernize operations, accelerate service delivery, and help lean teams do more with fewer resources.
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By Kateryna Gandzeichuk
Every AI headline this year is about speed: code shipping faster, test scripts generating in seconds, releases compressing from weeks to days. What gets less attention is what happens to quality when everything around it accelerates and the way you manage testing doesn’t.
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By Tricentis Staff
Software runs mission delivery in the public sector. As agencies modernize and systems grow more connected, the cost of a failed release climbs. The result can be service disruptions, compliance gaps, and loss of public trust. Automated testing is central to managing that risk, but it raises a practical question: which approach is right? Two options come up often: robotic process automation (RPA) and model-based testing (MBT). Both support automation, but they were built for very different purposes.
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By Lizzie Stokes
Picture a large-scale grocery and retail chain launching its first online storefront. The setup is complicated: a single online order must travel through an SAP eCommerce platform, multiple payment and loyalty systems, before disappearing into back-end SAP supply chain and ERP apps. The complexity of merging the online and offline business is like a “digital tsunami.” For many SAP enterprises, this sounds familiar.
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By Jason Secola
Quick summary: Performance teams can generate tests in minutes, but the analysis still takes hours. Agentic Performance Testing in NeoLoad uses domain-specialized AI agents to deliver a finished analysis from a single request, so engineers can start with the conclusions, rather than the raw data. Performance testing answers a critical question in the quality engineering lifecycle: will this hold up when real people use it, under real conditions, at real volume?
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By Lizzie Stokes
ABAP turned 43 this year — “an unusually long run,” as Sonja Liénard, head of ABAP platform at SAP, put it in a recent interview. SAP’s proprietary language has been reinvented numerous times, from procedural code to today’s ABAP Cloud, to keep up with market demands. The same cannot be said for ABAP testing. Most SAP teams are deciding what to test the way they did twenty years ago: run the full regression suite and hope it holds.
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By Annie Millerbernd
At Datadog DASH in the spring, the Tricentis NeoLoad team met folks in all types of roles – developers, test engineers, CoE leads, and SREs – and one recurring theme we found was that SREs often didn’t know much about how performance validation happens at their companies. That’s a fair division of labor. Seemingly, the performance team’s work would be related but not mission-critical to the infrastructure team’s. But that’s not entirely true.
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By David Landsberg
Over the past twelve months, something has shifted in how software teams think about quality. Claude Code, Cursor, and Playwright agents have made it genuinely easy to generate functional tests without deep automation expertise. The impact is showing up across two very different kinds of teams: Both paths lead to the same place: tests accumulate without governance, you get coverage without traceability, and there’s automation debt no one owns. But coverage numbers and quality are not the same thing.
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By Tricentis
Your data quality tools check data inside their scope. But can they tell you whether data is still right after it moves across three systems and five transformations? In this video, Adnan from Tricentis explains the gap that data quality tools were never designed to fill. Data moves from your ERP to your data warehouse, to your reporting layer, and from one cloud to another, and every boundary it crosses is a chance for something to change. Learn how end-to-end testing and data reconciliation complement your existing tools by testing data from source to target.
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By Tricentis
See a generated test plan before it runs, and push a manual test case straight into automated execution across qTest and Tosca Cloud. In this walkthrough, Kateryna tours the refreshed qTest interface, previews an AI-generated test plan before it spends any agentic credits, and shows how to convert a manual test case into an automated Tosca Cloud run. Key highlights.
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By Tricentis
Most business decisions rest on data — but is that data actually tested? Not monitored, not profiled, but verified as fit for business use? For most organizations, the honest answer is no. In this video, Adnan walks through why data testing is a business problem, not just a data problem, and how Tricentis Data Integrity automates data validation end-to-end so you can trust every decision you make.
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By Tricentis
As Tricentis customers continue to adopt Agentic Performance Testing, Product Marketing Manager Jason Secola sat down with APT's product manager, Twan Koot, to discuss how customers are making use of its agentic capabilities. Here, he shares customer feedback. Key highlights.
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By Tricentis
AI is reshaping how software gets built and tested faster than most QA teams can keep pace, yet teams rarely get to influence what a vendor ships before the decision is made. That's why we created Tricentis Labs. Tricentis Labs is where agentic-AI ideas are built in public, giving quality engineering teams early access to experiments and a say in which ones become real products. In this announcement, Ryan Yackel and David Colwell walk through how Labs works and the first three experiments open to customers and partners today.
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By Tricentis
When a performance test run goes wrong, the real work begins, which means hours of manual analysis, digging through metrics, and trying to prioritize what to fix first. Agentic Performance Testing (APT) in NeoLoad changes that. In this demo, see how APT's specialized AI agents automatically analyze a failed test complete with a full, stakeholder-ready report, surfacing an executive summary, SLA compliance breakdown, trend analysis. critical findings, a prioritized action plan, and more, all without leaving NeoLoad.
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By Tricentis
Coverage analysis brings your sprint, release, and daily coverage views into one customizable dashboard in SeaLights. It only takes a few steps to build a view: pick what you want to see, set your time range and scope, and get a live breakdown by service. Key highlights: One unified view: consolidate overall coverage, change coverage, and failed test tracking into a single customizable dashboard, built exactly for your team's workflow.
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By Tricentis
Jamie Avery, Head of Development at Delta Financial Systems, explains how his team moved from multi-day regression cycles to same-day releases, without compromising quality in a highly regulated pensions environment.
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By Tricentis
Jason Secola, Tricentis Lead Product Marketing Manager, explains how performance teams can leverage NeoLoad to avoid becoming a bottleneck and get ahead as agentic AI speeds up developer workflows.
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By Tricentis
Hear from our Lead Product Marketing Manager for Tricentis Tosca as she describes how to align your test automation with the reality of your business processes—moving beyond brittle scripts to build tests that reflect real business logic.
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By Tricentis
Build a modern testing practice with the Continuous Testing Framework, created by the world's leading testing experts.
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By Tricentis
Continuous, automated software testing can save your business a huge amount of time and money, and prevent headaches down the line. But, depending on your organization's strategy, automation can create as many problems as it solves. Whether you're implementing test automation from scratch or already have a methodology in place, this eBook shares tips for optimizing test automation.
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By Tricentis
Here's the simple truth: ServiceNow's digital workflows are only as effective as your release process allows them to be. This is why organizations have honed in on testing as a source of strategic advantage to help them release faster, improve the customer experience, and boost productivity.
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By Tricentis
Maybe you've thought about changing your performance testing platform, but have a lot of fears: Will you waste money? Lose valuable time? Open your company up to risk? Change doesn't have to be scary. Read this eBook to learn five reasons why changing performance testing platforms shouldn't be frightening, and a few strategies to ensuring your migration is a success.
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By Tricentis
For decades, the concept of artificial intelligence (AI) has captivated our imaginations - from science fiction and film to algorithms that can approximate conversation, to the predictive text programs that can produce new Harry Potter fan fiction today. AI is no longer a concept, it is real and here, leaving business leaders asking what it can do for their complex ERP systems like SAP? Read this white paper to learn.
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By Tricentis
What do missions to space and ServiceNow releases have in common? More than you might think. Both involve many intricate moving parts that are vital for liftoff and mission success. Like the delayed NASA Psyche asteroid mission, insufficient testing can create significant impediments on the path to launch.
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Enable everyone on your team to become a quality champion. The Tricentis platform accelerates testing of all your applications, data, and business processes and integrates with tools across your delivery pipeline.
Tricentis is the undisputed leader in enterprise test automation. We’re the only vendor in the category to achieve leader status in all the top analyst reports, including Gartner (5 years in a row), Forrester, and IDC. In every industry and geography, leading brands rely on Tricentis.
Continuous testing for digital businesses:
- Flexible and Scalable: Scale test automation across diverse teams, application types, and IT architectures.
- Codeless Options: Making it easy for non-technical business users and test engineers alike.
- AI-powered: Leveraging advanced ML technologies to enable faster, smarter testing.
Deliver quality software at DevOps speed.