Enterprise Architects Must Choose: Agentic Runtime Architecture Or Agent Sprawl
Enterprise architects face a critical fork: standardize on agentic runtime architecture now, or manage agent sprawl across the org for the next decade.
Why it matters
As agents move from pilot to production at scale, the architectural choices made NOW (runtime standardization vs. ad-hoc deployment) will determine whether enterprises can govern, update, and secure autonomous systems—or face fragmentation and technical debt.
The key facts
9 to knowAgentic AI is becoming a foundational stack layer (mainframes → client/server → web → cloud → agents)
Agent sprawl (uncontrolled deployment across departments) vs. centralized runtime architecture is the defining deployment choice for 2026
Application-layer instruction execution is giving way to agent-layer autonomy interception
Source: Forrester analyst perspective on enterprise architecture strategy
Agentic AI is becoming a new stack layer comparable to APIs, cloud infrastructure, and applications
Central thesis: enterprises must choose between unified agentic runtime architecture or face agent sprawl
Agent layer differs from application layer by intercepting business processes rather than executing instructions
Published by Forrester (analyst firm perspective on enterprise architecture)
Framed as a defining architectural decision, not a tactical one
Go to the source
Forrester Blogforrester.com
Publisher excerpt: Every era of enterprise technology has added a defining layer to the stack. Mainframes gave us the system of record. Client/server gave us applications. The web gave us services and APIs. Cloud gave us elastic infrastructure. Now agentic AI is adding the next layer. Where the application layer…