Our approach has evolved
This page described an Enterprise AI 2.0 consulting framework. Yttrigen now focuses on Yttrigen Studio, ValidKeep, and governed delivery for regulated applications. For related thinking on regulated AI, see Regulated Enterprise AI.
Our Approach (archived framework)
First, We Map the Territory. Then, We Build the Strategic Framework towards Enterprise AI 2.0.
A good strategy starts with understanding what organizations already have. Current AI tools deliver value, but they're centered within vendor boundaries. Our approach acknowledges existing investments while providing the framework for durable, value-generating work through Enterprise AI 2.0.
The Mandate: From Tactical Tools to Strategic Value
The mandate for today's technology leaders is clear: deliver a secure, scalable, and coherent strategy that drives business value. AI introduces opportunity, but also challenges in governance and integration.
💰 Transforming AI into a Value Generator
We shift our focus from multiple tools where the AI outputs get lost in the noise to a single, strategic framework that can be used to drive business value.
🔒 Ensuring Governance and Auditability
By using strategic frameworks, clearly identifying AI responsibilities, and establishing approval processes, we make AI behavior transparent, auditable, and compliant. This reduces AI risk across organizations.
🚀 Creating a Future-Proof Strategy
Instead of chasing the next "killer app," we build a flexible strategic framework that can incorporate new AI tools as they emerge, ensuring strategies stay current and adaptable.
The Journey: From Current State to Ideal State
1. Reason and Identify with the EAIS Framework
Before we build, we analyze. Our archived EAIS (Enterprise AI Stack) framework helped organizations understand their current AI capabilities. For regulated AI strategy today, see Regulated Enterprise AI. This mapping framework enabled organizations to:
📋 Inventory Existing AI Solutions
From small pilots to enterprise vendor integrations (e.g., Microsoft Copilot, ERP AI assistants, Oracle AI)
🗺️ Understand the Landscape
See clearly where tools overlap, duplicate, or remain siloed
💬 Build a Shared Vocabulary
Allow leadership and teams to reason about AI in structured, non-technical terms
🎯 Track Objectives and Mandates
Show where company goals, responsibilities, and decision-making authority are delegated to and from AI
EAIS is completely vendor-agnostic. It provides a neutral, comprehensive map of where AI exists in organizations today, forming the basis for strategy and decision-making.
2. Establish Enterprise AI 2.0 Through a Unified Framework
With a clear map, we described a path toward a company-wide AI operating model in our archived Enterprise AI 2.0 consulting framework. Yttrigen now focuses on governed application delivery with Studio and ValidKeep.
🧠 Large Language Model (LLM)
The reasoning engine that drives interaction and insight, serving as the core intelligence for enterprise-wide AI operations.
📚 Knowledge DAG ("Global Knowledge Graph")
Connects documents, data, code files, and functions in a structured way, enabling AI to summarize information, provide context-aware responses, and manage collaborative changes.
🔍 Multi-Modal Indexing
Combines meaning-based search, relationship mapping, and traditional keyword search for comprehensive knowledge retrieval and understanding.
🛠️ Tool Calling
Allows AI to use existing tools, workflows, and systems to take action and get things done.
🔄 GitOps / Everything-as-Code
Treats documents, infrastructure, and processes as manageable code, enabling AI to understand, summarize, track, and review everything systematically.
🎛️ Central Server (Control Plane)
Establishes governance, coordination, monitoring, and control across all AI activities, ensuring everything works together and can be tracked.
🤖 Clients & Agents
User-friendly applications and automated AI agents that access knowledge bases, create outputs, and use tools to achieve specific business goals.
This is the lodestar for the next phase of enterprise AI, an approach that respects the investments organizations have made while building the strategic framework for true, transformative AI management. We're here to guide organizations through the journey, not just sell a destination.