Introducing the first end-to-end enterprise agentic quality platform

AI has completely reshaped the boundary between human imagination and what’s possible. Along the way, AI use in business has become mainstream, with software delivery among its top adoption areas.

In 2026, leading global technology companies are now using AI to generate the majority of their code, with some development teams reporting that they haven’t written code manually in months. AI cuts code creation from days to seconds, productivity is surging, and the pace of delivery now introduces risks that teams must be ready to manage.

In today’s highly interconnected application ecosystems, a single error can rapidly cascade across services, and AI-driven acceleration can amplify the consequences when accuracy slips. McKinsey’s most recent State of AI survey highlights this growing concern: 51% of organizations using AI have encountered at least one negative impact, and nearly one‑third point specifically to problems caused by AI inaccuracy. When speed outpaces context and governance, AI-driven delivery can undermine release integrity.

While general‑purpose AI tools can offer quick insights, they rarely understand the unique, complex relationships within an enterprise application landscape. Industry surveys reinforce this point: Despite widespread adoption, high‑risk areas like inaccuracy and explainability remain under‑mitigated, highlighting the need for platforms that embed governance, context, and auditability directly into day‑to‑day quality workflows. Without that foundation, AI‑generated outputs can quickly become unreliable and introduce risk in places organizations can least afford it.

Quality engineering is the key to achieving AI‑driven velocity without sacrificing trust, oversight, or quality. And with AI now in use across most enterprise software development teams, and adoption accelerating each year, quality teams must implement an operating model that keeps pace without losing control. Without the right approach, enterprises will have a difficult time narrowing the gap between ambition and trust.

This is the challenge we set out to solve.

Tricentis Agentic Quality Engineering Platform

We’re introducing a unified agentic software quality platform that deploys a coordinated team of intelligent AI agents, each designed to support key steps across quality engineering domains, from test planning to functional automation to performance engineering. Together, they help QA teams keep up with AI’s increasing velocity while also ensuring human oversight, judgment, and accountability stay firmly in place.

The Tricentis Agentic Quality Engineering Platform brings together three essential elements:

• AI agents that are purpose-built for quality engineering
• Decades of deep expertise and proprietary technology
• Contextual knowledge across nearly 200 enterprise technologies, plus web and custom applications

Everything is coordinated through Tricentis AI Workspace, a single command center for agentic quality engineering. With shared context, integrated workflows, and native agent‑to‑agent collaboration, AI Workspace becomes the system of record and your “control tower” for quality. Governance, approvals, and auditability are embedded directly into execution, ensuring transparency and trust without slowing teams down.

As Tricentis CEO Kevin Thompson explains, “AI can create code at unprecedented speed, but the lack of confidence in quality is causing real pain for CIOs. Enterprises can’t afford the risk of unsecure or low‑quality AI‑generated code. We’re solving that problem with the first end-to-end agentic quality platform that enables high-quality releases at AI speed — safely accelerating time-to-value.”

We’re already seeing the impact firsthand at Tricentis, where we’ve begun using agentic testing internally. The results are transforming our own projects. Recently, a cloud migration that would have previously taken months was completed in just one week with agentic AI. The beauty of this technology is that it allows us to shorten release cycles without introducing additional risk. In other words, doing things fast and doing things right are no longer contradictory goals. This is the kind of change enterprises have been waiting for, and we’re excited to be leading the way.

Meet the agents powering AI-driven quality

Several specialized AI agents work together with AI Workspace each with clearly defined responsibilities, and designed to amplify the expertise of QA and engineering teams. Users can kick off coordinated agentic workflows from AI Workspace or from within Tricentis tools. Together, these agents create a unified, intelligence‑driven quality ecosystem that enables organizations to move from experimenting with AI to operationalizing it at scale. It’s a new model that blends AI speed with human judgment, helping teams deliver innovation with speed and confidence.

These agents support teams across the entire SDLC:

Agentic Test Automation

Agentic Test Automation in Tosca, which we released last year and recently updated with new capabilities, empowers enterprise QA teams to create complete, complex automation simply by describing what they need in natural language. Built on Tosca’s advanced test automation technology, it cuts manual effort by up to 85% and helps teams deliver high quality software at AI speed.

The solution brings next‑generation automation to life, enabling users at all levels to automatically create modular, end-to-end tests across a wide range of enterprise technologies, from SAP to web.

Learn more about Agentic Test Automation

Agentic Test Creation

Embedded directly within Tricentis qTest, Agentic Test Creation empowers test engineers to turn natural‑language inputs into high‑quality, reusable test cases in seconds. This eliminates duplication, accelerating coverage, and freeing teams from reliance on niche tooling expertise.

As the intelligence layer inside qTest, Tricentis Agentic Test Creation transforms your test management system into a fully connected, agent‑driven quality hub. Link requirements, results, risk signals, and historical context so that every test stays aligned to business priorities, and every release moves forward with clarity and confidence.

Learn more about Agentic Test Creation

Agentic Performance Testing

Combined with AI Chat for NeoLoad Web, Agentic Performance Testing executes performance workflows autonomously, backed by more than 20 years of performance validation expertise. Agentic capabilities across analysis, design and execution will redefine how teams approach validation and make expert‑level performance engineering accessible to technical and non-technical users.

With its expert-level analysis, Agentic Performance Testing turns raw data into instant insights, so teams can analyze results as fast as they produce them and make near real-time go/no-go decisions.

Learn more about Agentic Performance Testing

A foundation for the future of quality engineering

This release represents the first step toward a fundamentally new operating model where quality becomes continuous, contextual, and intelligently automated across every layer of the enterprise.

Industry leaders are already recognizing the significance. Paul DiGrazia, VP of Quality Engineering at Wolters Kluwer, describes the impact this way:

“As AI accelerates software creation, the real challenge becomes trust. Our approach shifts quality from manual test creation to confidence engineering. Instead of simply generating tests, our agents identify unknowns, prevent defect classes, orchestrate risk-based validation, and support human decision-making. This lets us move at the speed of AI while shipping responsibly.”

We are building toward a future of fully autonomous, continuously governed quality engineering: a future where AI doesn’t just accelerate delivery, but actively strengthens trust, resilience, and decision‑making at scale. In this model, humans remain in control as they set strategy, guide outcomes, and apply judgment while AI takes on the complexity, volume, and velocity required by modern systems.

The Agentic Quality Engineering Platform unifies AI agents, enterprise context, and deep testing expertise into a single, governed ecosystem that creates the conditions for organizations not only to move at AI speed, but to do so safely, confidently, and repeatedly.

This is more than an incremental improvement. It’s the start of a new era in quality engineering where enterprises can finally keep pace with the speed of AI innovation, without compromising on trust. If the past decade was defined by automation, the decade ahead will be defined by intelligent autonomy. With the Tricentis Agentic Software Quality Engineering Platform, that future is now within reach.

Further Resources

• Join us live for our launch and demo: March 25 at 10 a.m. CT / 3 p.m. GMT
• Learn more about Tricentis AI Workspace
• Learn more about AI-powered quality at Tricentis