People + agents in real-world quality engineering
Lessons from Finance, Legal, Higher Education, Salesforce and Pharma — from the teams who put agents into production.
Industries covered
Your quality engineering team is about to get a new coworker.
It does not sleep, does not get tired of regression testing, and it is not asking for a raise. The uncomfortable part is deciding what the humans should still own.
At STARWEST 2026, Prolifics leaders are getting past the AI hype and talking about what happened when agents moved into real enterprise delivery.
Some earned their keep quickly. Some got it wrong. And in some situations, handing over too much control created more risk than value.
This panel gets into the decisions that matter after the demo: ownership, oversight, measurable outcomes, role changes, and what it really takes to scale agent-enabled quality engineering.
Five leaders. Five enterprise perspectives.
Prolifics leaders bringing practical lessons from Finance, Legal, Higher Education, Salesforce and Pharma to the STARWEST stage.
Gregory Hodgkinson
ModeratorChief Technology Officer — Prolifics
Guiding the conversation on people, agents and enterprise delivery — and pressing the panel on what teams should still own.
Srikanth Nagavarapu
Financial ServicesHead of QA Practice — Prolifics
Quality Fusion and AI agents in regulated financial delivery.
Andrew Blank
Legal & Higher EducationVP of Solutioning, Enterprise Architects — Prolifics
AI transformation across legal and higher education estates.
Thushara Nair
SalesforceDirector, Client Partner — Prolifics
Naseer Mohammed
PharmaVice President, Software Development — McKesson
Enterprise-scale software and delivery in validated environments.
What changes when agentic AI moves into real delivery?
A practical discussion focused on operating decisions, enterprise lessons and measurable value rather than AI theory.
Agent ownership & autonomy
How teams define responsibilities, boundaries, and the work agents can own with confidence.
Human oversight & decision-making
Where expertise, context, approvals and accountability remain essential.
Enterprise implementation lessons
What real environments reveal once agents move beyond controlled demonstrations.
Efficiency & measurable outcomes
How teams are evaluating gains in speed, coverage, productivity and delivery confidence.
The evolving QE role
How skills, responsibilities and team structures change as people and agents work together.
Economics & ROI
How organizations assess business value beyond experimentation and AI adoption alone.
Leave with a clearer view of what agent-enabled QE actually requires.
The goal is not another AI prediction. It is a better understanding of the choices teams are already making in production.
A clearer operating model
Understand how ownership, oversight, escalation and human accountability fit together when agents become part of delivery.
A stronger view of value
Separate useful efficiency gains from AI activity that looks impressive but does not improve quality or delivery outcomes.
Lessons you can apply
Take practical ideas back to your own test strategy, automation program and quality engineering organization.
Reserve your spot for the panel
Register to join Prolifics for a live discussion on how people and AI agents are reshaping real-world quality engineering.
Anaheim, California
Meet Prolifics at STARWEST
Want to continue the conversation? Book time with our quality engineering team during the conference, or explore the full STARWEST event page.