A Future At Work Live Webinar

AI-Assisted to AI-Native:

AI-DLC Webinar

Every team has AI tools now but, having AI tools isn’t the same as having an AI-native delivery model. Most engineering orgs are still running Agile-era processes with AI wired in at the edges, and that gap is starting to show. AI-DLC (AI-Driven Development Lifecycle) is the operating model built to close it – new roles, new artifacts, new decision gates that let AI and humans actually collaborate across the full delivery lifecycle, not just at the editor.

Join Bilal Sattar (Engineering Manager, DPL) and Waleed Riaz (COO, DPL), the people behind this transformation at DPL, for a live hour on what AI-native delivery really looks like and where your team fits in it.

September 24 | 4-5 PM

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Your Team Adopted AI. Your Delivery Model Didn't Notice.

Most engineering teams have hit the same quiet plateau. Everyone’s using AI to write code faster but the process around that code hasn’t changed. Planning still happens the old way. Reviews, handoffs, and sprint rituals are all still built for a world where humans wrote every line.

As a result, individual tasks feel faster, but delivery as a whole doesn’t. Bottlenecks just move downstream, quality checks turn into guesswork, and nobody’s sure where AI’s judgment should end and a human’s should begin.

This webinar shows you exactly where the gap is, and what closing it actually looks like.

Built For The Teams That Own Delivery

CTOs and VPs of Engineering

CTOs and VPs of Engineering

own technology strategy and delivery outcomes.

Delivery Leads and Heads of Engineering

Delivery Leads and Heads of Engineering

run sprints, releases, and team execution.

Solution Architects and Tech Leads

Solution Architects and Tech Leads

design systems and set technical direction.

Product Engineering Leadership

Product Engineering Leadership

bridge product vision with engineering execution.

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A Behind-the-Scenes Bonus

Get an insider look at how DPL became one of the Top 100 Most
Loved Workplaces globally, and the culture practices that made it possible.

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Real Stories from Leaders Who Joined the Movement

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Leader Leader

“Whatever I’ve learnt today - I haven’t experienced such a powerful paradigm shift in a very long time.”

Amir Anzur

Amir Anzur

Chief Marketing Officer – PSEB

“After this training, we not only feel empowered but also recognize the leadership mistakes we need to fix.”

Saad Afridi

Saad Afridi

Founder – Scents N Stories & Exitbase

“I knew the session’s theme, but I never imagined it would offer this level of depth and insight.”

Farhan Nabi

Farhan Nabi

Founder – TRM Transform
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What You Stand to Gain

Faster Team Delivery

Faster Team Delivery

Clearer Decision Ownership

Clearer Decision Ownership

Reduced Engineering Guesswork

Reduced Engineering Guesswork

 Scalable AI Adoption

Scalable AI Adoption

Production-Ready Confidence

Production-Ready Confidence

Our Promise

In this live webinar, you’ll learn how to:

Understand What Separates AI-Native From AI-Assisted Delivery

Understand What Separates AI-Native From AI-Assisted Delivery

Learn the real difference between using AI tools and rebuilding delivery around them.

Learn Where AI Proposes And Humans Decide

Learn Where AI Proposes And Humans Decide

Get clarity on the checkpoints where human judgment must override AI's suggestions.

Map AI-DLC's Phases, Artifacts, And Decision Gates

Map AI-DLC's Phases, Artifacts, And Decision Gates

See how AI-DLC structures work using terms your team already recognizes from Agile.

See How An Idea Becomes Deployed Software

See How An Idea Becomes Deployed Software

Trace the full delivery path from raw intent to shipped, production-ready software.

Frequently Asked Questions

The session runs for 60 minutes and is designed for leaders who want practical clarity, not abstract models.

Absolutely! This is a completely free webinar.

You'll walk away with a clear picture of AI-DLC - the operating model that separates teams merely using AI tools from teams that have actually rebuilt delivery around AI. You'll understand where human judgment needs to stay in the loop, how decision gates work across the delivery lifecycle, and how an idea moves from raw intent to deployed software under this model. Most importantly, you'll leave with vocabulary and a framework your team can start applying next week for closing the gap between AI-assisted and AI-native delivery.

Yes! Participants will have opportunities to engage with the facilitators for follow-up questions. Additionally, if you’re interested, there will be options for future premium workshops and one-to-one sessions tailored to your organization’s needs.

Yes! Once you register, you’ll receive full access to the session recording, so you can watch it at your convenience, even if you miss a part of the live session.

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Adopt AI-DLC to enhance your software delivery

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