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Cygnet Elevate Global Partner Program

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A partner program built for services businesses to collaborate, expand offerings, and drive shared growth with Cygnet. Tap into shared expertise, go-to-market support, and long-term value creation.

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Co-create value through our global SaaS products.

Partner with Cygnet.One, a global leader in AI-powered compliance, tax, e-Invoicing, and automation solutions. Deliver seamless digital experiences, enable client success, and scale across markets with a future-ready platform.

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Is Your Test Strategy Ready for GenAI and Agentic AI?

Join this live webinar to explore how next-gen AI is revolutionizing quality engineering—from intelligent script generation to autonomous model validation.

Tuesday, 27th May 2025

10 AM EDT/EST

Bonus for attendees: Receive exclusive access to a post-webinar workshop for in-depth test strategy assessment

Webinar Registration

Why Attend This Webinar

AI technologies like Generative AI and Agentic AI are rapidly redefining how we build and validate modern software. This session will help you align your test strategy with this shift, offering strategic insights and actionable frameworks.

“ By 2027, Gartner predicts that 75% of organizations practicing DevOps will have embedded AI-driven testing in their pipelines.”

Key Reasons to Attend:

Understand how GenAI and Agentic AI are reshaping quality engineering
Explore real-world use cases like test recommendation, self-healing, and defect prediction
Learn how to audit and improve your current test environment with AI readiness in mind
Gain a practical roadmap to implement an AI-enabled TestOps ecosystem
Receive exclusive access to a post-webinar workshop for in-depth test strategy assessment

AI in Testing by the Numbers

0 %

of organizations are already using GenAI in quality engineering

0 %

of QA leaders identify AI/ML as a critical upskilling priority

0 %

faster regression cycles reported with AI-driven automation

$4B

AI in Quality Engineering projected to reach $4B by 2026

0 %

of AI projects fail — often due to insufficient quality and validation controls

What We’ll Cover

The role of GenAI and Agentic AI in modern QE

Strategies for testing AI applications: fairness, bias, and model drift

Building an AI TestOps pipeline: tools, people, processes

Live walkthroughs of real use cases

Exclusive Demo

Audience Q&A and expert insights

Key Takeaways from the Webinar

This session will help you stay ahead by understanding the convergence of AI and quality engineering, and how to practically adopt it.

AI in Quality Engineering Today

How GenAI can generate test scripts from user stories
The role of Agentic AI in autonomous execution, healing, and prioritization
Most impactful use cases in automation, validation, and test design

Testing AI Applications

Methods to ensure fairness, accuracy, and reliability of AI systems
Understanding and mitigating model drift and data bias
Testing dynamic, non-deterministic systems

AI TestOps Strategy

How to unify “AI in Testing” with “Testing AI”
Tools and pipelines to support continuous model and test optimization
Embedding compliance, governance, and model explainability

Post-Webinar Workshop: Assess and Improve Your Test Environment

All attendees will be invited to a free follow-up workshop where our experts will help:

Audit your current testing strategy
Identify gaps in AI readiness
Recommend tools and process changes to move toward an AI-augmented future

Future Vision

How to enable closed-loop validation with continuous learning
Building cross-functional teams that blend QA, ML, and DevOps
Designing unified dashboards that visualize both test and model health

Meet the Speakers

Shivangi Dubey

AVP & Head of Quality Engineering - Cygnet.One

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Webinars

Is Your Test Strategy Ready for GenAI and Agentic AI?

Webinar Registration

Why Attend This Webinar

AI in Testing by the Numbers

of organizations are already using GenAI in quality engineering

of QA leaders identify AI/ML as a critical upskilling priority

faster regression cycles reported with AI-driven automation

AI in Quality Engineering projected to reach $4B by 2026

of AI projects fail — often due to insufficient quality and validation controls

What We’ll Cover

The role of GenAI and Agentic AI in modern QE

Strategies for testing AI applications: fairness, bias, and model drift

Building an AI TestOps pipeline: tools, people, processes

Live walkthroughs of real use cases

Exclusive Demo

Audience Q&A and expert insights

Key Takeaways from the Webinar

This session will help you stay ahead by understanding the convergence of AI and quality engineering, and how to practically adopt it.

AI in Quality Engineering Today

Testing AI Applications

AI TestOps Strategy

Post-Webinar Workshop: Assess and Improve Your Test Environment

Future Vision

Meet the Speakers

Shivangi Dubey

Ashutosh Trasy

Exclusive for Attendees

Full recording of the session

Priority access to the Post-Webinar Test Strategy Workshop

Follow-up access to the AI TestOps Readiness Guide

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