1. Do the categories resonate?
Yes. These four levels are easy to observe in real operations:
Network → resource efficiency
Service → SLA/SLO
Customer → perceived experience
Business → revenue, margin, risk
Teams often operate at different centricities without realizing it, which leads to misaligned KPIs and automated loops that "work" technically but don't create value.
2. What might be missing?
To make the centricity lens operational, a few additional dimensions help:
Explicit objective function (what is being optimized mathematically)
Decision scope & blast radius
Time horizon (ms for network, hours/days for business)
Intent & contract models
Explainability (how decisions justify trade-offs)
Risk/guardrails
Ownership of policy
These turn centricity from a conceptual taxonomy into something you can use for design.
3. Is this useful alongside autonomy maturity?
Yes
Autonomy tells you how far to automate; centricity tells you the correct target for optimization. This avoids:
Highly autonomous loops optimizing the wrong objective
Service-level automation that ignores customer or business impact
CEM dashboards without control rights
In automation roadmaps and next-gen OPS OS architectures, centricity helps define:
Which loop arbitrates decisions
What the objective function should be
How to align network, service, customer, and business priorities coherently
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Chirag Raval
Lead Consultant
Infosys Ltd
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