Cloud Strategy

A Cloud Operating Model That Actually Reduces Redundancy

The redundancy that hurts most enterprises is not in the infrastructure — it is in the org chart. A practical look at the operating model that goes with sovereign cloud adoption.

Tasnim Rahman
·

Reducing redundancy via cloud is rarely a hardware problem. It is an org-design problem — parallel teams, duplicate IdPs, three CMDBs, and four ticketing systems that consolidation alone will not fix.

60–70%
of avoidable cost is organisational, not infrastructural
3×
Median parallel cloud teams in stalled programmes
14–18 mo
Inflection point — converge or fork
1
Highest-leverage decision: real BDT chargeback
Where avoidable cost actually sits in stalled cloud programmes
Org & process duplication Parallel teams, overlapping CAB
38 %
Tooling sprawl Multiple monitoring, IaC, ticketing
27 %
Idle infrastructure Over-provisioned envs
19 %
Vendor licence drift Unused or duplicate seats
11 %
Other
5 %

Source: Composite from Cloud Digit operating-model audits.

Five questions every COM has to answer

The decisions that, once written down, make the rest converge
1
Provisioning Workflow

Platform-team catalog (Terraform / Pulumi) vs. application-team self-service

2
Cost ownership Finance

BDT chargeback to BU vs. central absorption — chargeback wins

3
On-call Ops

Build-side, run-side, or partner — incident comms hinges on this

4
Tool approval Governance

Central architecture review vs. paved-road within guardrails

5
Identity Security

Single OIDC IdP federated to every cloud, with FIDO2 break-glass

Months to stable, low-rework operations by COM archetype
Centralised platform
9 mo
Federated paved-road
14 mo
Decentralised
22 mo

Source: Cloud Digit field observations, 2023–2025.