March 26, 2026 – 1:00 PM EST

From PoC to Production:
AI-Native Engineering for ISVs Discover how leading software companies embed AI into their engineering lifecycle to ship faster, modernize intelligently, and monetize sooner.

Many ISVs have built an AI proof of concept. Few have shipped production-grade AI at scale. The gap between demo and deployment is where timelines stall, costs expand, and market windows close.

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Why ISVs Are Stalling

AI ambition is high. Production reality is harder. Most ISVs face the same structural barriers:

Why ISVs Are Stalling

AI ambition is high. Production reality is harder. Most ISVs face the same structural barriers:

1

Your AI is still a PoC.

The model works, but governance, security, pipelines, and production readiness do not.

2

Your roadmap says “AI features”. Your architecture says “monolith”.

You cannot bolt GenAI onto legacy systems. Modernization must precede monetization.

3

You are scaling headcount, not velocity.

Hiring more engineers does not solve process friction. AI must be embedded into the SDLC.

4

You are rebuilding undifferentiated infrastructure.

Multi-tenancy, billing, metering, and marketplace integrations should not consume 18 months of capital.

5

Your AI lacks operational ownership.

Without clear ownership across engineering, security, and operations, AI initiatives stall after launch or never launch at all.

Not just |

Imagine a Different Future

Where intelligence, information, and innovation converge.

What You Will Walk Away With

This is not just another high-level AI discussion. It is an engineering conversation. You will learn:

How to compress modernization timelines by 60–80% using AI-enabled SDLC practices.

How to eliminate up to 24 months of SaaS plumbing using production-grade accelerators.

How to move from PoC to secure, governed, production-ready AI.

How to embed agentic AI into DevOps, platform engineering, and release cycles.

How to monetize AI features faster without rebuilding your core stack.

How to establish AI governance, observability, and cost control frameworks that scale with your product and your customers.

Why Listen to Us?

We are not experimenting with AI. We build with it every day.

60–80%
Timeline compression on accelerated modernization engagements.
25–30%
Engineering effort reduction across standard builds.
10+
GenAI applications shipped to production on AWS Bedrock and Claude.
24 months
Up to 24 months of SaaS infrastructure eliminated through ARC accelerators.

We embed AI inside the factory, not just inside the product. Our AI-enabled SDLC, ARC accelerators, and agentic operational platform are already deployed across ISVs and enterprises in regulated industries. This is not theory. This is applied engineering.

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Featured Speakers

Jagjit Dhaliwal

Jagjit Dhaliwal

Head of Partnerships, GenAI ISVs, AMER, AWS

Jagjit Dhaliwal leads Generative AI go-to-market strategy for ISV partners at AWS. With over 24 years of global technology leadership experience across AI, data, and enterprise systems, he has driven transformation initiatives at scale across public and private sectors.

Samarpan Bhattacharya

Samarpan Bhattacharya

Vice President – Application Development and SaaS, SourceFuse

Samarpan Bhattacharya is VP – Application Development at SourceFuse, bringing 15+ years of experience in enterprise architecture and cloud-native SaaS engineering. He leads global teams driving scalable, modern application innovation.

Vikram Singh Rai

Vikram Singh Rai

VP – Data Engineering, SourceFuse

Vikram Rai leads architects, engineers, analysts, and migration experts. With experience at EnterpriseDB, Vonage Business, and AWS ProServe India, he specializes in database modernization, cloud migrations, data security, scalable pipelines, and end-to-end data strategies.

Rahul Sharma

Rahul Sharma

DevOps Architect, SourceFuse

Rahul Sharma is a DevOps Architect and global AWS Ambassador with 9.5+ years in cloud and platform engineering, specializing in AI-driven DevOps, scalable infrastructure, open-source advocacy, and modernizing engineering practices.

This Session is Designed For

If you are responsible for shipping AI features, not just discussing them, this session is for you.

CEOs and Founders of Software Companies

CTOs and Chief Architects

VPs of Engineering and Platform

Heads of Product at Growth-Stage ISVs

AI Cannot Live in Experiments.

If AI is not embedded across your architecture, pipelines, and release processes, it will remain a feature, not a competitive advantage. Join us to see how AI-native engineering transforms speed, margin, and market position.

March 26, 2026 – 1:00 PM EST
Virtual