Microsoft Events presents an in-depth look at Impiger’s AI-first transformation, featuring leadership insights into architecture, platform design, and ethical governance in enterprise AI deployment.

Impiger’s AI-First Enterprise Transformation at Microsoft Ignite

This session from Microsoft Ignite 2025 offers a candid look into Impiger’s approach to engineering enterprises for the AI era. Led by Venkat and fellow AI architects, Impiger unpacks their architecture strategy, governance practices, and platform innovations, with a focus on the Moderor.ai platform.

Key Topics Covered

  • AI Ethics & Internal Governance
    • Formation of an AI Ethics Committee to guide organizational adoption and ethical standards
    • Development of internal governance pathways for responsible AI implementation
  • AI Architecture Strategy
    • Overview of transformative approaches to governance using AI architecture
    • Adoption of Zero Trust and robust guardrails for platform engineering and data security
  • Platform Engineering and LLMs
    • Introduction of a three-layer large language model (LLM) architecture for smarter decision-making
    • Integration of local LLM models tailored for specialized enterprise scenarios
    • Connection frameworks for third-party LLMs using the IMCP layer
  • Practical AI Development
    • Discussion of tactical approaches to AI engineering and delivery in large organizations
  • Vision and Progress
    • Recognition of company milestones and evolution of the shared vision for AI in the enterprise

Chapters Overview

  • Session Introduction: ‘Identity in Action’ by Venkat
  • AI Ethics Committee & Governance Path
  • Impact of Architecture on Governance
  • Zero Trust & Guardrails in Platform Engineering
  • Three-Layer LLM Architecture for Decision-Making
  • Integration of Local LLM Models
  • Third-Party LLMs Through IMCP Layer
  • AI Development Discussion
  • Session Wrap-Up: Vision & Acknowledgements

Additional Resources

This session provides actionable insights for architects and technical leaders looking to steer AI transformation, emphasizing the importance of ethical AI leadership, secure platform design, and innovative LLM integrations.

Author: Microsoft Events