“The goal is not to completely eliminate the human element, but to make AI work in tandem with in-house engineers,” said Damien Wong, Tricentis senior vice president of APAC.
As organizations continue to rely more on AI for code development, one of the biggest challenges is mitigating the risks associated with AI. Applications must not only meet regulatory requirements but also minimize errors, as downtime can lead to worrying consequences.
This is where vendors like Tricentis provide tools that allow you to seamlessly scale your business using AI. The technology company recently announced its latest Tricentis AI Workspace platform. The new platform enables enterprise teams to innovate quickly while managing risk and resources, fundamentally redefining how they test, manage, and release high-quality code at the speed of AI.
Specifically, Tricentis AI Workspace operates as a single unified command center with shared context, unified workflows, and native agent-to-agent collaboration, serving as a system of record and “command center” for agent quality engineering, coordinating AI agents across testing, automation, performance, and quality intelligence, while embedding governance, approvals, and auditability directly into execution.
The platform features multiple AI agents working together with defined responsibilities throughout the software development lifecycle (SDLC). Agents include:
- Tricentis Agentic Quality Intelligence: Continuously interprets changes, risks, and quality signals across the SDLC to determine release readiness, automatically directing testing, and escalating to humans only when decisions are needed.
- Tricentis Agentic Test Automation (Updated): Building on the initial release of Agentic Test Automation, this next generation improves productivity. New features include support for SAP GUI and web applications, deeper integration with the Tricentis Tosca automation engine, and intelligent reuse of test modules to reduce duplication, maintenance, and risk.
- Tricentis Agentic Performance Testing: Enable enterprise-ready, AI-driven performance verification by incorporating autonomous agents across analysis, design, and execution. This speeds up insights by up to 90-95%, eliminates manual expert bottlenecks, and makes AI-era release decisions faster and more confident from APIs to end-to-end systems.
- Tricentis Agentic Test Creation: Deeply integrated into Tricentis qTest, Agentic Test Creation works with test engineers to help create tests in context. Enables the creation of natural language tests, allowing teams to generate reusable test cases faster and more consistently, with less duplication and reliance on specialized knowledge.
Opportunity for business in Asia
To further understand how businesses in Asia can benefit from Tricentis AI Workspace, CRN Asia speaks to Damien Wong, Senior Vice President, APAC (Asia Pacific and Japan) at Tricentis.
How will APAC customers benefit from the new Tricentis AI Workspace?
Creating software faster than humans and traditional testing methods can keep up, AI is releasing “nearly correct” software at machine speed, creating significant business and reputational risks. Last year, businesses around the world faced a median cost of approximately $2 million per hour of IT outage.
That said, incumbent organizations in APAC are under tremendous pressure to innovate faster, especially as agile, AI-native startups can now build and deploy applications faster. You need to maintain a competitive edge while maintaining control and reliability across your software environment.
The new AI Workspace helps address this problem by coordinating specialized AI agents across the software development lifecycle (SDLC). AI has built-in human review and approval gates, allowing businesses to implement stronger governance and visibility into what AI is actually doing. This allows customers to scale their AI deployments without increasing risk. Most importantly, it’s designed to be open and flexible. Customers can not only coordinate within the Tricentis ecosystem, but also with third-party agents, integrating everything into a single, coordinated workflow.
Does this tool completely eliminate the need to rely on things like manual code reviews?
No, the goal is not to completely remove the human element, but to allow AI to work in tandem with in-house engineers. The platform helps test engineers with tasks such as in-context test authoring and natural language test creation, allowing them to generate reusable test cases faster and more consistently, while reducing duplication and reliance on highly specialized expertise.
At the same time, built-in AI agents across analysis, design, and execution speed up insight generation by 90-95%, eliminating some of the manual, expert bottlenecks that slow teams down. For example, test cycles for cloud migrations that traditionally took months can be reduced to about a week using agent AI.
It is important to note that humans have and will continue to play an important role. The platform is designed to escalate situations to human test engineers when decisions or oversight are required. That’s the unique selling point here.
So, rather than completely replacing manual reviews, it empowers teams and allows them to focus on value-adding decisions while AI handles much of the iterative analysis and execution. The combination of automation and human expertise will be what defines the next wave of AI-driven software delivery.
How does this actually reduce the risk of AI-generated code?
The risk with AI-generated code is that code can be generated incredibly quickly, but speed doesn’t necessarily equal quality. In fact, in large enterprises, even a small flaw in one application can quickly spread throughout the ecosystem, leading to system downtime, operational disruption, and even reputational risk.
While many AI tools seem powerful, they often lack understanding of the full application context and end-to-end dependencies, and that’s where risk begins to creep into the process.
What makes our platform unique is that we provide a closed-loop software quality ecosystem. Tools like Tricentis SeaLights work within an AI workspace to identify which methods and paths were tested and which were not. AI Workspace then feeds this data to an AI agent to identify testing gaps. This process shortens test cycles, increases efficiency, and reduces risk. Problems can be detected much earlier, and human teams are brought in when decisions and monitoring are needed. This end-to-end agent quality monitoring works across the entire SDLC.
In other words, the goal is not just to generate code faster, but to manage, test, and validate AI-generated code at enterprise scale, enabling organizations to move at the speed of AI without compromise.
Is this tool easy to implement and use in your organization?
Our research shows that organizations face significant amounts of technical debt accumulated over many years, and many are in the process of modernizing their legacy applications. Therefore, it was important to build a platform that organizations could deploy quickly and efficiently.
While the Tricentis portfolio can be deployed and operated using traditional approaches, our new agent capabilities simplify the way your organization operates. AI-powered agents can now assist in areas such as test creation, validation, and analysis, allowing teams to automate manual and repetitive steps.
This allows organizations to utilize the platform more effectively without requiring deep expertise across all testing stages. Agents make it easy for teams to introduce advanced testing capabilities and integrate them into existing development pipelines by orchestrating and guiding users through complex tasks.
This reduces complexity, accelerates time to value, and enables organizations to scale quickly while maintaining reliable software delivery.
Finally, how can partners help serve customers in this region?
By bridging the gap between advanced technology and real-world implementation, our partners are essential to delivering our enterprise agent quality engineering platform and AI workspace across Asia Pacific.
While Tricentis delivers innovation, system integrators, managed service providers, and ISVs provide the domain expertise and services needed to incorporate software testing and quality capabilities into complex transformation programs. Operate comprehensive quality engineering capabilities and increase productivity through agent-driven test automation, AI-driven testing, and autonomous validation within your customers’ existing enterprise environments.
This is essential for large-scale modernization, where applications are highly integrated across front-end and back-end systems. Our partners ensure that testing and validation is continuously incorporated throughout the SDLC, enabling organizations to innovate with confidence while maintaining reliability.
Across the region, we work with Brillar in Singapore;
As a global partner, TTC expands testing capabilities, improves automation productivity, and accelerates adoption of AI-powered software testing.
We see our partners as multiplier forces that turn these innovations into tangible outcomes for businesses across the region.
