PAC Leadership Session

GenAI in End-User Quality Engineering

and Testing

The right focus. The right approach. The right results.

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Transforming quality engineering through generative AI innovation

Generative AI is transforming quality engineering — especially functional testing — by redefining how test assets and automation are created and maintained. While much of the industry focuses on greenfield implementations, many organizations must also integrate GenAI into existing test artifact estates.

This session helps software testers and QA leaders evaluate and select vendors, identify high-impact LLM and SLM use cases, and understand key strategic considerations. Topics include balancing greenfield and brownfield approaches, applying FinOps principles to testing, and managing the coexistence of traditional AI, LLMs, and emerging AI agents. 

QA&Testing Leadership Session (1)
Delivered Your Way
Webinaradvs

1.5-hour webinar

Workshopadvs

2-hour workshop

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1-hour in-person presentation at an event

|  Price  €9,950   |

Designed for Your Business Goals​

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Your Challenges

  • Uncertain what to expect from testing vendors and service partners.
  • Limited visibility into vendors’ expertise and proprietary assets.
  • Difficulty managing the coexistence of traditional AI and LLMs.
  • Uncertainty in selecting the right LLM use cases.
  • Confusion about LLM's impact on testing operations.  

Your Benefits

  • Prepare for GenAI’s transformative impact on software testing processes.
  • Gain deep insight into LLM-driven software testing service offerings.
  • Analyze GenAI’s influence on testing delivery, tools, and costs.
  • Evaluate the tangible benefits of LLMs and SLMs in testing.
  • Build readiness for the coexistence of traditional AI and AI-driven testing. 

Session Agenda

  • Evolving requirements for quality engineering and software testing.
  • GenAI trends are transforming quality engineering and testing practices.
  • Key LLM and SLM use cases and benefits.
  • LLM and SLM impact on testing organizations.
  • Emerging expectations from agentic AI and AI agents.
  • Practical recommendations to prepare for GenAI-driven change. 

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Meet Your Lead Analyst

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Dominique Raviart

Senior  Analyst

As a Senior Analyst, Dominique Raviart is specifically responsible for IoT/OT and a part of DCE and BAS services, leveraging his expertise in the Salesforce services market and the Manufacturing vertical sector.

Before joining PAC, Dominique was Practice Director at NelsonHall, where he was globally responsible for the IT services research program. His work focused in particular on software testing/QA, Salesforce services, and digital manufacturing.

Dominique has worked in the IT Services industry since 1998. He started his career providing SAP training and change management services in the U.S. and the U.K. He has worked for IDC and Ovum in Paris, Amsterdam, and London.

Dominique holds a Master of International Business Studies/International MBA from the University of South Carolina, U.S. He lives in Paris.

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