Tricentis Agentic Test Creation: Quality that moves at AI speed

In the age of AI, where delivery continues to accelerate, release confidence shouldn’t lag behind. Today’s software changes continuously, often generated or modified by AI. That raises complexity while shrinking the time quality teams have to plan, test, and make decisions. Manual workflows and static automation weren’t built for this pace. Tricentis Agentic Test Creation changes that by bringing intelligent, context‑aware manual test generation and insights inside Tricentis qTest’s new AI Chat, so you can move faster with more certainty.

Why test management must evolve

AI has intensified the scale and speed of change across your apps, integrations, and data. As the surface area of risk expands with each release cycle, “test everything” is no longer an option, but neither is slowing releases to regain control. The result is an unhealthy tradeoff where testing becomes either a bottleneck or a rushed checkbox. An agentic approach to test management reframes the problem from completeness to prioritization, focusing your team’s quality efforts where they deliver the most impact.

When software moves at AI speed, manual quality cannot match pace. Agentic Test Creation keeps quality in lockstep by turning constant change into clear, actionable testing decisions.

Agentic Test Creation: Improving your quality outcomes

AI Chat and Agentic Test Creation bring agentic AI into the heart of Tricentis qTest, connecting creation, analysis, and management in one continuous flow. Instead of isolated tools and manual handoffs, you get an agent that understands context, interprets impact, and guides what’s next.

Here’s how it works: Leverage the new AI Chat embedded in the qTest UI to convert requirements and images into test assets with a context‑aware agent that understands everything from your attachments,conversation history, and test library. Your team can easily pick up where they left off and save further manual rework as they develop agentic test cases powered by Tricentis’ 20+ years of quality engineering expertise.

With Agentic Test Creation, you remove the tedium that holds you back today, from having to create test cases from scratch, manually re-inputting requirement details, searching for existing test coverage, or sifting through logs.

Instead, you can spend more time on edge cases, exploratory work, and business‑critical validation. AI doesn’t replace testers; it unlocks their impactby delivering:

• Visibility: Consolidate fragmented quality data into an evolving view of readiness, even as AI‑generated changes multiply.
• Risk Mitigation: Identify new defect patterns earlier and highlight hidden dependencies before they impact release outcomes.
• Productivity: Re-use existing assets linked to previous requirements instead of creating new redundant test cases.
• Scalability: Reduce manual effort and maintenance bottlenecks across teams and tools so quality can scale with your development pace, not fight against it.

Leveling up test management for the AI status quo

1) Transform quality processes
Agentic testing replaces manual, fragmented test activities with continuous, agent‑driven workflows across creation, analysis, and management. Quality becomes adaptive, shaping itself to your applications, tools, and ever‑shifting AI‑driven development.

2) Compress delivery timelines
By removing friction from test design and analysis, Agentic Test Creation accelerates feedback from requirements to release without cutting quality corners. Teams move faster because the system eliminates “blank page” moments and streamlines the path to executable coverage.

3) Identify coverage gaps

With Agentic Test Creation understanding your requirements, application specifics, and historical test data, it can generate high quality tests that cover a broader range of scenarios, reducing blind spots with greater accuracy due to the context it’s ingested.

Bringing autonomous quality across the lifecycle

The traditional test management paradigm was built to track activity, not to interpret AI‑fueled complexity or scale decisions. Agentic Test Creation is the first step evolving that model into the next generation of test management; where agents decide what to generate, prioritize, analyze, and maintain continuously. With autonomous quality, teams can keep up with increasing software development demands without sacrificing coverage or confidence.

Looking ahead, agentic testing with Tricentis will expand into further control across your quality activities within your system, including:

• Automating root‑cause analysis and go/no‑go insights with self‑healing triage agents and defect reporting agents. You gain risk‑informed prioritization, see faster handoffs, and experience a further reduction in rework. Agents propose what to test and why, with explainable actions and controls.
• Optimizing and governing your test library with policy‑first control and exception‑based review, enabling continuous testing at scale, consistent governance, smarter reuse, and library hygiene that doesn’t depend on heroics. Outcomes are clearer, decisions are faster, and confidence is higher.
• Orchestrating your end-to-end quality assurance processes across the SDLC with Tricentis AI Workspace, working with Agentic Test Creation in conjunction with other agents in your ecosystem to automate autonomous software quality.

Where Agentic Test Creation fits in the Tricentis platform

Agentic Test Creation extends Tricentis qTest into a centralized, agentic quality hub that connects requirements, results, risk signals, and historical context. It complements the broader Tricentis portfolio, so as you modernize functional, API, performance, data, and mobile testing, your management layer stays intelligent and aligned.