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Why EA (IT) Is Not Delivering Value to the CIO — A Banking Perspective 💲

Updated: 7 days ago

Enterprise Architecture in most banks sits with the CIO. Significant effort goes into it. Detailed artifacts are produced. Technology landscapes are mapped. Systems, integrations, cloud configurations, and tool inventories are documented.


And yet, a quiet question remains at the CIO level: Why does Enterprise Architecture not materially reduce operational complexity? Why do the same issues keep returning?


This is not a capability problem. It is not an effort problem. It is an anatomical problem.

Each CIO problem is not “IT complexity.” It is department-originated anatomy fragmentation showing up inside IT.


This CIO executive note traces the problem flow:

Department decision → local interpretation → IT encoding → enterprise inconsistency


Where EA (IT) Actually Operates Today

In most banks, EA (IT) operates primarily at P5 — Implementation. It focuses on systems and platforms, integrations, application portfolios, infrastructure and cloud configurations, and technology standards. This is necessary work.


But the CIO’s challenges do not originate at P5 alone. They originate from how P1–P4 are defined, connected, and enforced.


The CIO’s Reality Is Not an IT Problem — It Is a Cross-Department Anatomy Problem

What the CIO experiences as “IT complexity” is rarely created inside IT.


It originates in how different departments define and execute their own models of strategy, processes, and decision logic — and how those differences get encoded into systems.


12 Use cases from a banking context:

1. Loan Eligibility Differs Across Channels

Business Origin: Retail banking, risk, and product teams define eligibility rules differently.

IT Impact: Each system encodes its own version of eligibility logic.

CIO Reality: The same customer gets different outcomes across mobile, branch, and partner channels.

EA (IT) Gap: System integration is documented at P5, but P3 decision logic is not unified.


2. KYC / Compliance Rework Across Systems

Business Origin: Compliance, operations, and onboarding teams interpret regulatory rules differently.

IT Impact: Multiple KYC flows and validation rules appear across systems.

CIO Reality: Duplicate checks, delays, and audit risks increase.

EA (IT) Gap: Process flows exist, but P2 process and P3 rule ownership remain fragmented.


3. Customer Data Exists in Multiple Versions

Business Origin: Sales, service, and operations capture and update customer data differently.

IT Impact: Multiple customer masters emerge across systems.

CIO Reality: There is no true single source of truth despite data programs.

EA (IT) Gap: Data architecture exists, but P4 component standardization is missing.


4. Change Requests Trigger System-Wide Impact

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