Accelerating the SDLC with AI:
From Development to Deployment
AI is no longer an enhancement to the SDLC, it is becoming the operating layer.
- 29 January 2026
- 10:00 AM – 11:00 PM EST
- Zoom
- 29 January 2026
- 10:00 AM – 11:00 PM EST
- Zoom
Why This Webinar Matters
Enterprise software delivery is evolving. As organizations accelerate digital initiatives and scale complex systems, AI is becoming a core capability across the software lifecycle. Yet most AI adoption remains fragmented, focused on point tools that improve individual tasks but fail to move end-to-end delivery outcomes. Real value is realized when AI operates as a connected, governed intelligence layer across the SDLC from requirements and design to testing, deployment, and operations. This webinar explores how leading enterprises are applying AI systemically to improve decision quality, reduce rework, and deliver faster, more reliable outcomes with confidence at scale.
Key Takeaways
By the end of this session, you’ll learn:
- How enterprises are achieving 30 faster release cycles by applying AI across requirements, design, dev, testing, DevOps & Support.
- Where AI delivers real ROI vs. low-impact experimentation in the SDLC
- How agentic AI + shared knowledge backbones reduce rework by up to 40%
- Why human-in-the-loop governance is essential for regulated and large-scale environments
- How agentic AI, shared knowledge backbones, and critique loops reduce rework and delivery friction
- Why governance and human-in-the-loop are critical for production-grade AI adoption
Speakers

Aniket Sanyal
VP & Global Head of AI, Narwal
Leads enterprise AI adoption focused on production outcomes, helping organizations move from pilots to scalable, governed AI across engineering and operations.

Keerthana Saiprasad
Full Stack AI Engineer, Narwal
Builds and deploys AI-driven SDLC accelerators that integrate directly into enterprise delivery ecosystems, translating AI into measurable delivery gains.
Ready to Transform Your Software Lifecycle?
Join the webinar to learn how global enterprises scale AI responsibly across SDLC.
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