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AI is no longer just assisting software delivery it is beginning to execute it. From agentic development and autonomous testing to continuous compliance and AI-generated code, enterprises are entering a new era where human and AI systems work together across the software delivery lifecycle at unprecedented speed and scale.
But as AI accelerates execution, it also introduces new operational risks: uncontrolled agent behavior, audit gaps, security exposure, traceability challenges, and growing uncertainty around how organizations govern software built by both humans and machines.
In this webinar series, Perforce brings together our CTO leaders, product innovators, and enterprise DevOps experts to explore how organizations can move beyond AI experimentation toward controlled, enterprise-scale AI execution.
Attend the Series and Learn
- How leading enterprises across highly regulated industries are preparing for agentic and autonomous software delivery
- Understand why control, traceability, testing, and continuous compliance are becoming mission-critical in AI-driven delivery
- Explore practical strategies for operationalizing AI safely across code, testing, infrastructure, data, and compliance without slowing innovation
Each session delivers actionable insights, emerging industry strategies, and an early look at the innovations shaping the future of enterprise DevOps in the age of AI execution.
Register Once to Access the Full Four-Part Series
Webinar 1 – June 10, 2026
Back to topWhen AI Starts Shipping Code: Why Control Is Your New Competitive Advantage
Across the enterprise, AI systems are generating code, creating tests, orchestrating infrastructure changes, and participating directly in software delivery workflows. But as organizations accelerate AI adoption, many are discovering a new challenge: uncontrolled execution.
The software delivery lifecycle was not designed for AI systems and is rapidly evolving into an AI-driven lifecycle, where traditional governance, testing, compliance, and human oversight models can no longer keep pace.
The organizations that succeed in the age of AI execution will not simply move faster, they will be the ones that can operationalize AI with control, traceability, continuous validation, and enterprise accountability.
Join Perforce CTO Leaders As They Explore:
Why uncontrolled AI execution is emerging as one of the biggest operational risks in modern software delivery.
Learn how leading enterprises are approaching AI accountability, continuous compliance, autonomous testing, and policy-driven execution.
Get an early look at Perforce’s vision for governed autonomous software delivery through Perforce Intelligence and the Perforce Agentic Gateway.
Webinar 2 – June 24, 2026
Back to topWhen AI Starts Shipping Code: Managing the Collision between Human and AI generated Code
As AI agents begin contributing directly to large projects and applications, organizations are encountering a new challenge: determining what can be trusted, approved, merged, and securely deployed.
At Perforce, we call this the Merge Wall, and it’s a problem our P4 architecture is already built to handle.
In this session, we'll show you how our Perforce engineering team uses P4 for their own agentic application development. We’ll also walk you through the new questions every engineering leader needs to be asking about their own AI-driven delivery.
Join Perforce CTO Leaders and Our Engineering Experts As They Explore:
Learn why AI-generated code is reshaping enterprise governance, auditability, and software supply chain risk.
Understand how organizations are approaching provenance, approval workflows, and human + AI collaboration at scale.
See how P4 is evolving into an enterprise control layer for governed AI software delivery.
Attendees will also get an early look at Perforce’s vision for AI code provenance and execution.
Webinar 3 – July 15, 2026
Back to topWhen AI Starts Shipping Code: Your Testing Strategy Is Already Obsolete
AI can now generate software faster than most enterprises can safely validate it.
As AI-generated applications, agentic workflows, and autonomous delivery systems accelerate software change, traditional testing models are struggling to keep pace. Test automation built for predictable releases, stable applications, and human-paced development cycles is rapidly becoming obsolete.
The challenge is no longer simply automating tests. The challenge is continuously validating software that is continuously changing for enterprises operating across complex environments, compliance requirements, and rapidly evolving applications.
Join Perforce CTO Leaders and Our Engineering Experts As They Explore:
Why traditional testing models break in AI-accelerated software delivery.
How enterprises are approaching continuous validation, policy-driven testing, and AI-assisted quality engineering.
Get an early look at Perforce Intelligence Testing and the vision for autonomous testing across mobile, web, desktop, API, and performance environments.
Attendees will also get an early look at Perforce Intelligence Vision for intelligent continuous validation, including natural language-driven orchestration, compliant environment provisioning, trusted test data workflows, and autonomous validation systems operating within AI-driven delivery pipelines.
Webinar 4 – July 29, 2026
Back to topWhen AI Starts Shipping Code: Why Compliance Must Become Continuous
AI-native delivery is accelerating software change faster than traditional compliance models were designed to handle. The risk is no longer simply failing audits. The risk is losing visibility and control over software delivery operating at light speed.
As AI systems begin generating code, orchestrating infrastructure changes, and participating directly in software delivery workflows, enterprises are discovering that manual, siloed, and reactive governance models can no longer keep pace.
Compliance can no longer operate as a downstream audit function. It must become an intelligent, continuous execution layer embedded directly into the software delivery lifecycle.
In the age of AI-driven delivery, organizations need compliance systems capable of continuously validating changes, enforcing policy, collecting evidence, and governing execution across code, infrastructure, data, AI systems, and workflows in real time.
Join Perforce CTO Leaders As They Explore:
Why traditional compliance and governance models break in AI-driven software delivery.
How regulated industries are approaching continuous compliance, automated evidence collection, and policy-driven execution.
How frameworks like DORA, HIPAA, FedRAMP, PCI, ISO 42001, and emerging AI governance mandates are reshaping enterprise delivery requirements.
Attendees will also get an early look at Perforce’s Unified Compliance vision, including policy-driven orchestration, automated evidence collection, execution governance, and cross-functional compliance workflows operating within AI-driven delivery systems.
Presenters
Anjali Arora
As EVP of Product and Development, Anjali is responsible for product management and development. She has 27 years of experience leading global teams in dynamic environments from private equity growth to publicly traded companies, including Oracle, Allscripts, Rocket Software, and CA Technologies (now Broadcom). A champion for women in technology, Anjali is a high-energy leader with a history of bringing innovative products to market.
Anjali holds a B.A. from St. Stephen’s College in India and a master’s in Computer Applications from the University of Delhi.
Rod Cope
As founder and CTO of OpenLogic, Rod Cope drives the technology vision for OpenLogic and heads the product management organization. Rod has over 20 years of experience in software development spanning a number of industries including telecommunications, aerospace, healthcare, and manufacturing. Rod holds both Bachelor's and Master's degrees in Software Engineering from the University of Louisville.
Deepak Giridharagopal
Deepak is CTO at Perforce, where he has helped architect and build Helix Core Cloud. Before that he was CTO at Puppet, working on one of the world's most popular open source configuration management tools. He has a love of infrastructure, distributed systems, and action cinema.
Steve Feloney
Stephen Feloney is the Vice President of Products at Perforce. Prior to this role, for the last 11 years, Stephen has been in Product Management, focused on enterprise software, at various companies spanning from the very large, like HP, to startups. Before product management, Stephen spent 12+ years a software engineer. Stephen holds a BS in Computer Engineering from Santa Clara University.
Jase Lindgren
Jase Lindgren is an international ambassador for Perforce P4 who is passionate about all things VFX. As a decade-long veteran of the film and television industry, he has worked on projects that have been viewed around the world.
With Perforce, Jase helps customers transform workflows by providing VFX, animation, virtual production, and game developers with the tools needed to improve productivity and quality-of-life in future projects.
Most recently, Jase was instrumental in the launch of Perforce P4 One, a version control application designed specifically for artists. He also hosts the In Development podcast which spotlights technical leaders from game development pipelines at CD Projekt Red to animation workflows at Nickelodeon.
Patrycja (Trish) Tomiak-Gough
Patrycja (Trish) Tomiak-Gough is the Chief Architect at Perforce - specifically the P4 Portfolio, where she helps guide the design of products, platforms, and systems used by developers and game studios. She works closely with engineering and product teams to translate ambitious ideas into scalable, developer-friendly solutions. A systems architect by day and gamer by night, she brings a hands-on perspective and genuine passion for the tools and workflows that power modern development.