This session addresses the critical challenge of moving GenAI from a vision to a reliable application within complex product verification processes.
Will showcase limitations of cloud hosted GenAI solution for enterprises and how Retrieval-Augmented Generation (RAG) architecture can securely leverage proprietary data (e.g., test reports, specs) to accelerate product validation and adoption with customers.
The focus is on the Human role as a Prompt Engineer, building a repository of Golden Prompts to make GenAI based automation repeatable.
Identify few use cases in product development( User Story, test plan) ,delivery and how GenAI can enable operational efficiency and its limitations.
Key Takeaways:
1. Quantify RAG ROI: Identify two high-effort, documentation-heavy tasks and Operational efficiency by implementing a RAG solution.
2. Apply the Golden Prompt Blueprint: Formulate a structured, three-part prompt (Context, Constraint, Validation) designed to reduce AI hallucination
3. Define Agile AI Ownership: List the top two new MLOps metrics (e.g., Data Freshness, Vector Drift) and define the Agile team owner responsible for maintaining these quality guardrails.
4. Accelerate Product Delivery: Design a streamlined AI-assisted workflow for User Story creation, test plan development, automation, summary and field on boarding
5. Shift Human Skillset: Articulate how the human engineering role shifts from data compilation to Prompt Strategy and critical output validation, defining the new high-value skills for the team.
- Date:10/01/2026
- Time:11:10
- Event:Collaborate to Secure, Market & Scale: SOPs for the Modern Enterprise @Surat
