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Date & Time

14th Oct 2026 | 9:30 PM IST

Venue

Online

The Hidden Cost of AI Amnesia in Enterprise Software Delivery

As enterprises adopt generative AI across the software lifecycle, teams are running into a silent productivity killer: AI Amnesia. When disconnected point-solution tools lose project context during hand-offs between business analysts, architects, and testers, delivery stalls, rework piles up, and AI initiatives stop scaling the way they promised to.

In this session, you will learn how unified context architectures preserve project memory end-to-end, turning generative AI from a set of disconnected prompts into a connected, governed system that accelerates delivery without sacrificing compliance.

What You Will Learn

  • Understand why point-solution AI tools break down once you try to scale them across an enterprise
  • Unpack the context bottleneck that causes knowledge loss during hand-offs between BA, Architecture, and QA
  • Explore frameworks for preserving project memory across the entire software development lifecycle
  • See a live, end-to-end platform demonstration, from raw meeting transcripts to automated QA testing
  • Learn proven strategies to eliminate context loss and rework across delivery phases
  • Discover how to replace tedious manual prompting with fully automated, interconnected workflows
  • Get insight into achieving up to a 60% acceleration in cycle times while staying 100% audit-ready

Who Should Attend

Anyone actively looking to scale generative AI across their workflows without losing compliance, governance, or essential project context, including:

  • Enterprise Solution Architects
  • Product Management Leaders
  • QA Directors
  • Software Delivery Managers
Register Now

If your teams are losing time and context every time a project moves from one phase to the next, this session will show you a practical path to connected, audit-ready AI delivery.

Register now to secure your spot.

Our Presenters

Sharddha Dubey

Sharddha Dubey
Speakers

AI Architect

Akash Patil

Akash Patil
Speakers

Senior Software Engineer

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      SharddhaDubey

      Shraddha Dubey

      AI Architect

      Shraddha Dubey is an AI Architect at ACL Digital with over 12 years of experience in enterprise AI implementation. She specializes in designing and deploying scalable generative AI solutions that transform business operations. Her experience spans AI discovery workshops through production deployment, including agent-based architectures that coordinate multiple AI models to address complex business challenges. She brings practical expertise across LLM-powered autonomous agents, RAG, agentic systems, and MLOps, with a focus on security, scalability, and measurable enterprise ROI.

      Akash Patil

      Akash Patil

      Senior Software Engineer, ACL Digital

      Akash Patil is a Senior Software Engineer at ACL Digital with over six years of experience building scalable enterprise solutions. He specializes in predictive analytics, deep learning, Generative AI, and LLM architecture. His experience includes developing a multimodal RAG healthcare chatbot that synthesizes insights and dynamic charts from unstructured documents, building an LLM-powered Business Analyst Copilot, and designing autonomous agentic workflows.