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AI-Enabled Enterprise Playbook

Build the AI-enabled enterprise from the business outward.

A practical guide to moving from business problems and operating decisions to AI opportunities, solution architecture and scalable enterprise capability.

Myria Thinking

The

AI-Enabled
Enterprise

A practical playbook for designing the next operating model.

Myria Consulting · Business First.

The business-first path

Move from an operating problem to an architecture that can create value.

Business problem→
Discovery→
Value-chain context→
Decisions & exceptions→
AI opportunity→
Solution architecture

Inside the Playbook

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Explore the ideas and progression of the Playbook here. The complete PDF and interactive digital edition are delivered only after you request the resource.

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I

Business First

Start with the enterprise—not the technology.

Frame AI around business objectives, operating performance and the value the organization is trying to create before selecting tools or models.

Business objectivesOperating contextValue creation
II

Finding Enterprise Value

Find where intelligence can change the work.

Move through the value chain into processes, decisions, exceptions and investigations to identify opportunities grounded in real operating needs.

Value chainDecisions & exceptionsAI opportunities
III

The Intelligence Layer

Connect the right intelligence to the right problem.

Understand how integration, intelligent automation, agents and multi-agent systems can work together instead of becoming isolated AI experiments.

IntegrationIntelligent automationAI agents
IV

Enterprise Capability

Move from pilots toward AI-enabled operations.

Treat architecture, governance, people and operating change as part of the capability required to scale intelligence responsibly across the enterprise.

Autonomous operationsHuman accountabilityScale

Inside the playbook

A progression from AI experimentation to enterprise capability.

01

Business First

Begin with enterprise objectives and measurable value rather than technology.

02

Discovery

Understand the operating context before defining an AI solution.

03

Value-Chain Context

Locate where value is created, delayed or lost across the enterprise.

04

Decisions & Exceptions

Find the decisions, investigations and exceptions where intelligence matters.

05

AI Opportunities

Match the problem to the right form of intelligence and automation.

06

Solution Architecture

Connect agents, software, data, workflows and specialized computation.

07

Intelligent Automation

Move beyond isolated assistants into connected operational workflows.

08

AI Agents

Use reasoning and tools to investigate, recommend and act within governed boundaries.

09

Multi-Agent Systems

Coordinate specialized intelligence around shared business outcomes.

10

Autonomous Operations

Increase operational autonomy while preserving human accountability.

11

The AI-Enabled Enterprise

Build reusable organizational and technology capability for continuous improvement.

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