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By Lizzie Stokes
In just a few years, developers went from barely using AI to, at some companies, using it for nearly all of their code. As development cycles compressed, QA was pushed into its own AI revolution: AI-generated tests are increasingly seen as a mandate, the only way to keep up with how fast code now ships. And yet, not all AI-generated tests are created equal.
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By Jason Secola
Quick summary: SAP Enterprise Performance Testing (EPT) by Tricentis now integrates with SAP Cloud ALM, so teams can create, run, and track performance tests in the same hub as the rest of their S/4HANA transformation. For teams managing SAP transformations, most major workstreams are visible in Cloud ALM, but performance testing has long been an exception. It has lived in a separate tool, forcing teams to treat it as a separate workflow that’s often left to the end of a project.
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By Lizzie Stokes
Mike Dillon is a Global Platform Leader at IBM. While deeply technical and experienced in enterprise architecture, he is not a traditional hands-on software developer. Yet this spring, Dillon paired his domain expertise with IBM Bob, IBM’s AI coding assistant, to engineer his first full-scale enterprise application: WatsonAuditX. Designed to automate the documentation required for complex SAP audits, the app addresses a familiar operational roadblock.
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By Sarah Welsh
In September, Anthropic’s CEO argued that AI companies should deliberately slow the pace at which they improve their models, because advances are outrunning researchers’ ability to understand and control them. Sam Altman endorsed the idea within hours, and other leaders of frontier AI labs quickly echoed him. For QE teams, the pace problem is already here. AI-generated change is arriving faster than anyone can review, and it isn’t arriving clean.
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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 Tricentis
Agents are easy to build and hard to measure. When your company runs hundreds or thousands of them, hand-written evals can’t keep up, and it’s unclear which agents are correct, efficient, and ready for users. In this conversation, Ryan Yackel, SVP of Product Marketing, and Andrew Demers, Product Manager for Agent Score at Tricentis Labs, explain how to measure agent quality, score agents automatically, and trace issues back to behavior.
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By Tricentis
Most AI tools are designed as one assistant or co-pilot answering one prompt, but Tricentis Agentic Performance Testing is built differently. In this video, Product Marketing Manager Twan Koot explains the two pieces behind it: purpose-built tools and a team of seven specialized agents, each designed to do a performance tester’s job the way it should be done. Key highlights.
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By Tricentis
Budgets are tight, AI is changing how software gets built, and citizens expect the same digital experience they get from their favorite online brands. One missed bug can put your mission and constituent trust at risk. In this video, John explains how public sector agencies can close the gap between speed and safety with automated software quality assurance. You'll see how the Tricentis platform helps teams decide what to test, manage testing in one place, automate end-to-end processes, and make sure systems perform under heavy load.
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By Tricentis
SAP transformation projects are planned and tracked inside SAP Cloud ALM. Here's how SAP Enterprise Performance Testing by Tricentis, or EPT, brings performance testing into that same hub. In this demo, Tricentis walks through creating, running, and analyzing an EPT performance test without leaving SAP Cloud ALM, so performance problems surface long before go-live. Highlights.
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By Tricentis
SAP projects are planned and tracked inside SAP Cloud ALM. Here's how Tricentis NeoLoad brings performance testing into that same project hub. In this demo, Tricentis shows how SAP teams create, run, and analyze NeoLoad performance tests from SAP Cloud ALM, so they catch performance problems long before go-live. Highlights.
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By Tricentis
Pair SAP change tracking with automatic test mapping to know exactly what a transport touches, and what still needs coverage. In this walkthrough, Kateryna Serdinsky, Product Marketing Manager at Tricentis, demonstrates how to set up a test cycle, run risk-based impact analysis, and close coverage gaps in SeaLights for ABAP.
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By Tricentis
Connect AI Workspace, the Tricentis Quality Agent, and Playwright so a Jira requirement generates test cases and runs them as an unattended web test. In this walkthrough, you will see how a ticket drives test case generation, triggers a Playwright run over MCP, and returns a pass/fail report to Jira. Key highlights.
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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
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.