Software quality engineering company Tricentis, based in Texas, has launched what it calls the first agentic AI-powered test automation platform for ERP systems, marking a new chapter in enterprise software testing.
Unveiled yesterday, the company’s new strategy introduces remote Model Context Protocol (MCP) servers and Agentic Test Automation, both designed to enable autonomous, AI-driven testing across complex enterprise environments.
According to Tricentis, these capabilities represent “a significant leap forward” in how financial services firms, banks and other businesses test mission-critical systems such as SAP, Oracle, and other ERP platforms.
At the heart of the announcement is Tricentis’ claim of an industry-first: the remote MCP servers, which allow AI agents to directly interact with enterprise-grade testing tools.
“This hybrid, open infrastructure enables organisations and their system integration partners to build or tailor AI agents specific to their testing needs, a shift from assistive AI to fully autonomous test execution,” explained chief executive Kevin Thompson.
“In IT, everything eventually converges into a hybrid model,” the Tricentis chief said.
“With MCP and Agentic Test Automation, we’re not offering a one-size-fits-all approach, we’re giving our customers the flexibility to use or build their own AI agents. This is about AI acting, not just assisting,” he claimed.
“AI-led, autonomous testing is no longer on the horizon, it’s here”.
– Kevin Thompson
Agentic Test Automation, the second pillar of the strategy, uses Tricentis’ technology-agnostic Vision AI to generate full test cases from natural language inputs.
It can learn from historical outcomes and understand enterprise-specific contexts, allowing for end-to-end test coverage across modern SaaS tools and legacy platforms alike.
The tools are designed to support the growing shift in ERP environments from monolithic suites to composable systems that integrate platforms like SAP, Salesforce, and Workday.
Vision AI’s flexibility to work across these diverse interfaces means teams can test heterogeneous workflows without the need for platform-specific automation scripts.
Tricentis disclosed that partners like TTC Global are already integrating the new tools, including an endorsement by Chris Rolls, CEO Americas at TTC Global, who called the MCP server release a “major innovation,” noting improvements in test model accuracy and productivity in AI-enhanced workflows.
Thompson stressed that the new capabilities, including intuitive UIs for AI task management, will be generally available in July.
“For enterprises navigating ERP modernisation, the message is clear: AI-led, autonomous testing is no longer on the horizon, it’s here,” he said.
Latin America launch
The latest launch comes only weeks after the company expanded into Latin America in a move to meet “the fast-growing demand” for AI-powered software testing solutions across the region, as the firm’s new regional head put it.
The company’s entry into Latin America came amid mounting concerns over the speed-versus-quality trade-off in software development, according to Tonatiuh Barradas, who joined Tricentis as Vice President of Latin America and will lead regional operations.
Barradas, who worked for SAP in Florida until last year, cited new research by Tricentis, which showed that 75% of Latin American tech professionals ship code changes without comprehensive testing, resulting in increased operational costs and project delays.
The report found that 70% of companies in the region experience setbacks directly related to insufficient test coverage.
“Latin America is a dynamic and fast-growing technology market, with an increasingly critical focus on digital transformation efforts across industries,” analysed Barradas.
He stressed that the region’s accelerating digital transformation has placed intense pressure on organizations to release new features faster while minimizing bugs and outages.
The company’s expansion strategy includes strengthening its local partner network, investing in regional talent, and providing its continuous testing platform to enterprises looking to scale software delivery without compromising reliability or compliance.
“We aim to close this quality gap by delivering AI-enhanced automation tools that improve test coverage and reduce manual effort,” Barradas added.
According to Tricentis’ 2025 Quality Transformation Report, which surveyed more than 2,700 CTOs, CIOs, DevOps, QA professionals, and software developers, over half of Latin American respondents cited accelerating software development as their top challenge.
Nearly half also reported that improving software quality remains a critical concern, while 44% want to automate manual testing processes.
This move into Latin America underscored Tricentis’ broader global growth initiative, as demand surges for advanced testing platforms that integrate into agile and DevOps environments, explained Thompson.
“With so many organisations forced to choose between speed and quality, we’re entering Latin America to help them modernise,” he said.
Tricentis is headquartered in Austin, Texas, with 26 offices globally. In 2024, the company generated around $425 million in annual recurring revenue, and claims to have increased the number of new customers by almost 60% year over year, with growth of approximately 27% YoY.
The firm’s AI-based continuous testing platform has seen several developments in the past year, including the introduction of generative AI-powered Copilot solutions for its products Tricentis Testim, Tricentis Tosca, and Tricentis qTest.
“By automating manual tasks, we free up software development teams to focus on strategic initiatives. It’s a decisive moment for digital transformation, and we want to deliver quality, governance, and tangible results,” Thompson said.
Expansion and investment
The Latin America launch came only months after Tricentis rolled out ambitious plans to expand its presence in Ireland, as the firm created 50 new jobs and moved into a new, larger office in the city of Cork.
Since beginning operations in Cork in 2022 the office has grown significantly. Its Cork operations to date focused on consolidating international finance and building various functions such as payroll, accounts payable, projects, revenue, legal, data and analytics.
Thompson was keen to stress that “Ireland plays a crucial role in our vision to drive Tricentis revenue over $1 billion.”
He added that the majority of the company’s executive team has already been building and managing teams within Ireland for many years, “so we know from experience what an incredible advantage we gain from closer ties with such a business-friendly country and highly talented workforce.”
The fresh investment in the company’s Ireland hub came only two months after US private equity firm GTCR agreed to invest $1.33 billion in Tricentis, which provides software testing automation and software quality assurance products to dozens of banks around the world.
Focus on Middle East
In addition to Latin America and Ireland, Tricentis opened an office in Dubai in 2024 as the firm pushed into the Middle Eastern market, with an expansion into Saudi Arabia planned for later this year.
The opening of the Dubai office came as Tricentis’ client base is rapidly expanding in the Middle East, with Bank Albilad and Alshaya Group both having integrated the company’s codeless testing solutions into their digital infrastructure.
Tricentis said it is taking “a partner-led go-to-market strategy” for the region, thereby teaming up with companies including SAP, Accenture, Capgemini, DXC Technology, IBM, LTI Mindtree, NTT DATA Business Solutions and Wipro, as well as a range of local players, such as Master Works-owned Adre, Q-Pros, TestCrew and TTC Global.
The new office in Dubai is led by Dan Melville, who was appointed as Vice President of Middle East and North Africa (MENA). He leads the expansion of the local team.
“The Middle East is undergoing rapid growth, with economic diversification driving a dynamic shift toward digital transformation and emerging technologies like AI,” Melville said.
“Software testing, if not done correctly, is a common cause of delay to transformation projects, and CIOs and IT executives in the region are recognizing they can no longer rely on legacy, manual approaches to achieve high quality software,” he added.
SeaLights
Finally, worth mentioning in terms of Tricentis’ growth plans is that, last year, the company bought SeaLights, a SaaS-based, software quality intelligence platform.
The latest acquisition added to a hyperactive year for the Texas-based QA multinational, with various product launches, multiple acquisitions and a recent strategic partnership in 2024 alone.
At the same time, under CEO Thompson, the company has set out ambitious plans to push further into the US market.
SeaLights, which was founded in 2015, provides a host of large banks, financial services firms and insurance players with metrics, traceability, tests and insights meet quality gates and deliver software.
The firm uses agents to map code to tests and evaluate code that has changed, turning to machine learning (ML) to identify quality risks during software releases.
This shift-left capability enables software development teams to focus on the minimum number of functional tests, thereby saving time and speeding up their release delivery.
This was one of the main reasons why SeaLights stands out and got the attention from Tricentis CEO Thompson.
He explained that “the additional capabilities of SeaLights further extend the dominance of our comprehensive quality intelligence solutions to a wide array of applications and environments.”
Thomspon claimed his firm can now provide customers with AI-enabled quality intelligence beyond SAP environments and into both custom and packaged applications.
This includes test impact analysis, quality risk management, root cause analysis, and support across all programming languages.
The deal was Tricentis’ second acquisition in the past twelve months, following the purchase of Waldo in July 2023.
Financial details of that transaction had not been disclosed but the takeover was valued at around $150 million.
Test data capabilities
The market launches in Latin America, Ireland and the Middle East come amid Tricentis boosting its test automation offering for the financial services space, with a key role for the cloud, the Texas-based firm released new cloud capabilities for the company’s AI-powered, model-based test automation solution, called Tricentis Tosca, which has been adopted by a range of banks and financial services firms in recent years.
“This new solution automates the management and provisioning of test data, users are able to … remove time consuming and tedious manual effort traditionally required for provisioning test data when creating tests,” Mav Turner, chief product and strategy officer at Tricentis, explained at launch.
“This is time and effort that could be more effectively spent on more strategic activities,” he stressed.
Diving in a bit deeper, Turner said the release allows QA teams to easily collaborate and create tests that cover the most critical business functions.
“This ensures that test cases are designed to continuously validate business workflows against business objectives, not just technical functionalities,” he elaborated.
Turner summed up that the cloud capabilities include advanced test authoring, zero-footprint execution, a business flow designer, more test data capabilities, a dashboard, as well as end to end testing.
He went on to reveal that the company is working on “new powerful generative AI capabilities for the next big wave in automation”, which will be released later this year.
‘Define what quality means’
Meanwhile, Thompson, issued a stark warning about the escalating risk of software outages as companies increasingly prioritise speed over quality in an AI-driven software development landscape, the industry insider stated.
“As AI continues to evolve, we believe tech leaders and practitioners need to define what quality means for their organisation to strike the right balance between quality, speed, and cost, while implementing comprehensive testing strategies to deliver better business outcomes,” Thompson said.
He stressed that recent research by his firm had found that, despite mounting pressure to shorten release cycles, nearly two in three global organisations are deploying code without fully testing it, a figure that rises to three in four in the UK, 12% higher than in the U.S.
Poor communication between software development and quality assurance teams and a misalignment between leadership and development teams are identified as critical barriers to achieving software quality, Thompson added, pointing out that a third of firms cite ineffective communication as a key obstacle.
His caution followed the release of his company’s 2025 Quality Transformation Report, which found that two thirds of organisations worldwide are at significant risk of software outages within the next year.
The Report surveyed around 2,700 DevOps and quality assurance leaders, as well as a number of CIOs, CTOs, and software developers from industries including banking and financial services.
AI complexities
In addition to Thompson’s warning Tricentis executive, Damien Wong, cautioned that AI advancements are rapidly introducing new complexities, complications such as code hallucinations and vulnerabilities.
“Where we are seeing bottlenecks is in the validation of that code… code that is auto-generated by some of these GenAI tools introduce errors and all vulnerabilities,” Wong added.
Consequently, software testing has emerged as a critical bottleneck in software modernization efforts, a gap companies like Tricentis seek to address through AI-powered testing solutions.
In today’s hyper-accelerated DevOps environment, tools like Tricentis Tosca and Testim have become indispensable to software quality assurance, Wong argued.
The company employs a GenAI-augmented, model-based, codeless testing approach that fundamentally redefines testing workflows.
“So, model-based test automation effectively abstracts away the business processes of the business model from the underlying technology,” Wong said.
“If there are changes to the application, [these are] automatically propagated to the hundreds of thousands of test cases that are automated.”
Such solutions resonate with developers historically frustrated by testing overhead. A recent Tricentis-commissioned Techstrong Research study revealed a striking trend: 60% of DevOps professionals perceive AI’s greatest value in testing rather than in coding itself.
Yet GenAI’s true disruption extends beyond development teams, democratising the testing process. Non-technical stakeholders can now directly engage in testing activities.
“In the past, if a business user wanted test scripts, they’d speak with the teams that are responsible for engineering test automation,” Wong stressed. “Now, we remove that barrier entirely.”
This approach makes testing more pro-active. Wong shared a compelling example: “We had teams draw application prototypes on flip charts, photograph and scan them, and immediately generate test frameworks — before a single line of code was written.”
Further emphasising privacy and intellectual property protection, Tricentis utilizes metadata instead of raw data. Wong clarified.
“Now, metadata is very different from data; it’s kind of what we always differentiate on. With metadata, you can’t reverse engineer your software.”
Expanding into critical areas like mobile enterprise applications, Tricentis recently acquired Waldo, a SaaS-based, no-code mobile testing platform.
Despite these innovations, Wong underscored the inherent challenges of GenAI, particularly hallucinations in large language models.
“We don not use vanilla LLMs,” he continued. “We contextualize AI specifically for testing environments, ensuring privacy, reducing bias, and minimizing hallucinations.”
Wong stressed the supportive, rather than replacement-oriented, role of GenAI tools: “Our tools are co-pilots, not autonomous systems. We expect human review, but we’re reducing manual effort by 80-90%.”
So, as digital transformation accelerates, effective software testing becomes not just beneficial but essential. Rather than merely detecting bugs, the modern emphasis is on proactively preventing them, Wong concluded.
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