When AI Tests AI: Autonomous QE for LLM Chatbots

Learn how to prove your LLM application is reliable, secure and production-ready, before it reaches customers.

Join this live webinar and learn how AI-Powered and Autonomous Quality Engineering can help QE, Engineering and Product teams improve test coverage, detect emerging risks earlier and build greater confidence in every AI release.

Reserve Your Seat

Key Takeaways From This Webinar

Translate business expectations into measurable quality criteria for correctness, relevance, security, safety, resilience and customer experience.
Understand where conventional functional testing, scripted test cases and manual spot checks can leave important gaps.
Explore how AI-powered testing and Autonomous QE agents can simulate diverse user journeys, edge cases and adversarial interactions.
See how continuous evaluation can identify behaviour changes introduced by updates to prompts, models, enterprise data, RAG pipelines, guardrails and application logic.
Learn how QE can evolve from a release-stage checkpoint into a continuous quality layer spanning development, deployment and production.

What You Will Learn

Automating Power BI & Tableau Testing

Understand how test automation can be applied across modern business intelligence environments.

Scaling Dashboard Validation

Explore approaches for validating dashboards and reports across complex enterprise environments without relying entirely on manual testing.

Improving Data Quality

Learn how automated validation can help identify inconsistencies between underlying data and what users see in dashboards.

Reducing Manual Testing Effort

See how automation can streamline repetitive dashboard validation activities and enable teams to focus on higher-value quality engineering work.

Building Trusted Business Intelligence

Understand how stronger testing practices can help organizations deliver more reliable dashboards and business insights.

Speaker

Ready to Rethink How You Test AI?

Your AI Doesn't Stop Changing After Release. Neither Should Your Testing.

Learn how to build a Quality Engineering approach capable of continuously evaluating your AI applications as models, prompts, data, integrations and user behaviour evolve.

Don’t Just Deploy AI. Deploy It With Confidence..

Frequently Asked Questions

01. What is Power BI testing?

Power BI testing involves validating Power BI reports, dashboards, data, calculations, visualizations, and business logic to ensure that reporting outputs are accurate and reliable.

02. What is Tableau testing?

Tableau testing involves validating Tableau dashboards, reports, visualizations, calculations, filters, data sources, and business logic to ensure that users receive accurate insights.

03. Why automate Power BI and Tableau testing?

Automation can help enterprises reduce repetitive manual validation, improve testing consistency, increase coverage, and accelerate dashboard regression testing.

04. Can Power BI and Tableau testing be performed at enterprise scale?

Yes. A scalable testing approach can automate validation across large numbers of dashboards, reports, data sources, and environments while reducing dependence on manual testing.

05. Who benefits from automated BI testing?

Quality engineering, data, analytics, BI, testing, and technology teams can use automated BI testing to improve dashboard reliability and reduce validation effort.