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AI Testing Challenge for Tricentis Customers (EMEA Edition)

  • June 2, 2026
  • 3 replies
  • 254 views
The Tricentis Customer AI Testing Challenge (EMEA Edition)
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Have you already started exploring how AI can transform software testing? 

We’re excited to announce the AI Testing Customer Innovation Challenge - an opportunity to share your ideas, showcase your work, and shape the future of testing with AI.

What’s this challenge about?

This challenge invites Tricentis EMEA customers to share how AI can transform testing. Whether through real implementations or bold new ideas.

The challenge is simple: submit your idea or use case describing how AI is (or could be) applied in testing — and what impact it can deliver.

We welcome both:

  • Real-world implementations → solutions you’ve already built or are working on
  • Forward-looking concepts →  innovative ideas that explore new possibilities

What to include in your submission:

  • A brief description of your idea
  • The problem it addresses
  • How AI is (or could be) used
  • Is it implemented, in progress of a concept for now?
  • The expected or achieved impact
     

How to participate:

  1. Submit your idea (you can submit more than one!) using the form: The AI Testing Challenge – Fill out form or directly in the comments
  2. If you submit via the form, please post a short summary in the comments so others can discuss and vote👍 on your idea.
  3. Feel free to submit multiple ideas, but please submit each one as a separate entry.

Notes:

  • By participating, entrants agree that their submissions can be reviewed, summarized, and potentially showcased (with attribution, if desired).
  • While the first prize includes hotel accommodation for eligible participants, we unfortunately cannot extend this benefit to public sector customers.

Timeline:

  • Submission period: June 2, 2026 - July 2, 2026
  • Evaluation period: 2 weeks

How winners are selected:

Winners will be chosen based on a combination of community likes and Tricentis panel evaluation using the following criteria:

  • Clarity of the idea
  • Impact on testing
  • Innovation
  • Feasibility

Why participate:

  • Win prizes:
    1st place: Transform pass + 1-night accommodation + ShiftSync gift box;
    2nd place: Transform pass + ShiftSync gift box + book;
    3rd place: Transform pass + ShiftSync gift box.

  • Showcase your ideas to a global testing community
  • Position yourself as a thought leader in AI and quality engineering
  • Get feedback and visibility from peers and experts
  • Contribute to shaping the future of AI in testing

This challenge is open to all customers in EMEA, and we encourage participants from all roles — testers, developers, architects, and leaders — to share their perspective.

Whether your idea is already in production or just taking shape, this is your chance to contribute, learn, and inspire others.

Ready to share your idea?

Submit your entry today and be part of the conversation shaping the future of AI in testing.

Feel free to spread the word and invite your colleagues to participate — the more perspectives, the better.

We’re looking forward to your ideas!

3 replies

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  • Ensign
  • June 5, 2026

Hi everyone,

My submission is the Cognitive Test Oracle — the core idea 
is that AI should learn from how real users actually navigate 
your application, rather than having QA engineers guess what 
to test.

The way it works: a lightweight recorder observes anonymised 
user sessions in the background, an LLM extracts the intent 
behind each journey (what the user was trying to accomplish, 
not which buttons they clicked), and then automatically 
generates regression tests in Tricentis Tosca anchored to 
those goals. When a test fails, another AI layer figures out 
whether something actually broke or the UI just changed — 
which is what causes most false alarms in CI pipelines today.

The result is a test suite that reflects real user behaviour, 
maintains itself, and gets smarter over time rather than 
becoming a maintenance burden.

Tech stack: LangGraph + Claude Sonnet + OpenAI embeddings + 
Qdrant + Tricentis Tosca REST API.

Happy to discuss the architecture or answer any questions. 
Looking forward to seeing everyone else's ideas too.

— Srinivas. Ch


  • Apprentice
  • June 18, 2026

Hi Everyone my submission is for Smart autosuggestion in Tosca:

1. Brief Description of the Idea

The idea is to introduce a smart autosuggestion feature along with an in-built quick help search within Tosca Commander. This feature will provide real-time suggestions for syntax and keyboard actions while users type and allow them to quickly search for correct formats without leaving the tool.

2. The Problem it Addresses

Currently, users need to remember specific syntax formats for expressions and keyboard actions (e.g., Ctrl+A as ^{a}), which is not intuitive. There is no built-in guidance or autosuggestion, so users often spend significant time searching external documentation or trying different formats. This leads to reduced productivity, errors, and frustration during test case creation.

3. How AI is (or Could Be) Used

AI can be used to power a smart suggestion engine that understands user input in natural language. For example, when a user types “Ctrl+A” or “Enter key,” AI can instantly suggest the correct Tosca syntax like ^{a} or {ENTER}. It can also learn from user behavior and commonly used patterns to provide more accurate and contextual suggestions over time, making the tool more intelligent and user-friendly.

4. Current Status (Concept / In Progress / Implemented)

This idea is currently in the concept stage. It is based on practical challenges faced during daily usage of Tosca and aims to improve efficiency and usability.

5. Expected Impact

This feature will help users find solutions directly within Tosca, reducing the need to search externally or spend time trying different syntax formats. It will save time, improve productivity, and reduce errors in test case creation. Teams will be able to work faster and more efficiently, leading to quicker testing cycles and better quality outcomes. Overall, it will enhance user experience and deliver measurable business value through improved efficiency and reduced effort.


  • Apprentice
  • June 18, 2026

Hi Everyone my submission is for Smart autosuggestion in Tosca:

1. Brief Description of the Idea

The idea is to introduce a smart autosuggestion feature along with an in-built quick help search within Tosca Commander. This feature will provide real-time suggestions for syntax and keyboard actions while users type and allow them to quickly search for correct formats without leaving the tool.

2. The Problem it Addresses

Currently, users need to remember specific syntax formats for expressions and keyboard actions (e.g., Ctrl+A as ^{a}), which is not intuitive. There is no built-in guidance or autosuggestion, so users often spend significant time searching external documentation or trying different formats. This leads to reduced productivity, errors, and frustration during test case creation.

3. How AI is (or Could Be) Used

AI can be used to power a smart suggestion engine that understands user input in natural language. For example, when a user types “Ctrl+A” or “Enter key,” AI can instantly suggest the correct Tosca syntax like ^{a} or {ENTER}. It can also learn from user behavior and commonly used patterns to provide more accurate and contextual suggestions over time, making the tool more intelligent and user-friendly.

4. Current Status (Concept / In Progress / Implemented)

This idea is currently in the concept stage. It is based on practical challenges faced during daily usage of Tosca and aims to improve efficiency and usability.

5. Expected Impact

This feature will help users find solutions directly within Tosca, reducing the need to search externally or spend time trying different syntax formats. It will save time, improve productivity, and reduce errors in test case creation. Teams will be able to work faster and more efficiently, leading to quicker testing cycles and better quality outcomes. Overall, it will enhance user experience and deliver measurable business value through improved efficiency and reduced effort.

Autosuggestion is a highly valuable feature that enhances productivity and saves time. By intelligently predicting and suggesting relevant inputs, it helps users complete tasks faster, reduces manual effort, and improves overall efficiency.