Who Pays for Agentic AI?

The Central Problem🔗

The Three-Tier Architecture🔗

The emerging enterprise AI stack everyone is selling — but few have deployed in production.

The Core Debate🔗

Orchestration Layer Competition🔗

Multiple vendors competing to own the agent orchestration space — each with different organizational advantages.

The Decisive Factor: Governance🔗

Value Capture Dynamics🔗

Frequently Asked Questions🔗

Glossary🔗

Guidance: 7-Step Evaluation Framework🔗

A structured approach for CIOs and technology decision makers to navigate the organizational and commercial complexities of agentic AI deployment.

1. 1

   Map your current architectural landscape

   Inventory all transactional systems, data platforms, and AI tools. Identify authoritative data sources and actual user interfaces.

2. 2

   Identify budget ownership for each layer

   Map who controls data platform, application, and IT budgets. Document the gap between cross-system vision and siloed authority.

3. 3

   Assess governance and compliance requirements

   Determine audit trail, access control, and data residency needs. Engage CISO and compliance officers early.

4. 4

   Evaluate vendor claims against production reality

   Ask for cross-system demos with error handling, audit trails, and approval chains. Most can't deliver yet.

5. 5

   Determine where value should accrue

   Assess whether data platforms will be strategic or cost-center in your context. Evaluate application-layer ROI.

6. 6

   Plan for multiple coexisting orchestration layers

   Accept that Copilot, Salesforce, ServiceNow, and vertical platforms will coexist. Design integration points.

7. 7

   Avoid architectural lock-in without alignment

   Start with departmental wins, build cross-functional governance, evolve toward enterprise-wide coordination incrementally.

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