How do you calculate an OT integration readiness score?

Rate severity, occurrence and detection each from 1 to 10, then apply weights: severity x 0.40 + occurrence x 0.35 + detection x 0.25. With scores of 7, 5 and 4 the weighted readiness score is 5.55.

What is a good OT integration readiness score?

On a 1-10 input scale, weighted scores below about 3 indicate a low-risk, integration-ready asset; 3 to 6 is moderate and worth planning mitigations; above 6 is high risk. The example's 5.55 sits in the moderate-to-high band and warrants a closer look before connecting.

Why weight severity higher than detection?

A severe integration failure that takes down a line or corrupts control data is costlier than one that is merely frequent or hard to spot, so severity carries 0.40, occurrence 0.35 and detection 0.25. You can adjust the weights, but keep them consistent across every asset you compare.

Readiness score vs traditional FMEA RPN?

Classic RPN multiplies severity x occurrence x detection, which explodes the range and over-penalizes a single high rating. This weighted-sum approach keeps the result on the same 1-10 scale and makes scores directly comparable and easier to interpret.

How is the detection score interpreted here?

A higher detection score means issues are harder to catch before they affect operations, which raises risk. So a detection rating of 4 means problems are reasonably detectable, contributing 4 x 0.25 = 1.0 to the example's 5.55 total.

Can I compare scores across different sites?

Only if every site uses the same anchored rating definitions for 1 through 10. With a shared scale, the 0.40/0.35/0.25 weighting makes the scores directly rankable so you can sequence which sites to harden first.

IIoT, SCADA & Edge Connectivity calculator

OT Integration Readiness Score Calculator

OT Integration Readiness Score is an FMEA-style risk index that rates how risky it is to connect a given line or site's operational technology to IIoT, SCADA or edge infrastructure. It blends three 1-10 ratings — severity of a failed integration, how often integration issues occur, and how well issues are detected before they bite — into a single weighted number. IIoT program managers and OT/IT integration leads use it to triage which sites get hardened first and to compare readiness across a fleet on a common scale. Unlike a flat average, the weighting reflects that a severe, hard-to-detect integration failure deserves more attention than a frequent but visible one.

What this calculator does

Score OT integration readiness for a site, line, or asset using severity (impact if integration is delayed), occurrence (likelihood the integration runs into trouble), and detection (likelihood current controls catch issues early). The engine returns a weighted readiness risk score.
Use it when an OT lead is ranking which sites or lines to integrate first into MES, historian, or unified namespace, and needs a defensible single-number ranking.
It computes a weighted readiness risk score as severity x 0.40 plus occurrence x 0.35 plus detection x 0.25, on whatever 1-10 FMEA scale you adopt.

Formula used

Weighted OT integration readiness score = severity × 0.40 + occurrence × 0.35 + detection × 0.25
Use the same FMEA scoring scale across sites or lines being compared.

Inputs explained

OT integration severity score:
OT integration occurrence score:
OT integration detection score:

How to use the result

Use it when prioritizing OT integration work across multiple lines or sites and you need a defensible, repeatable ranking.
The scores are subjective expert judgments; they only compare fairly if every assessor uses the same anchored scale, and the weights are a chosen convention rather than a physical law.

Current U.S. benchmarks

Global copper trades at $13,484 per tonne (IMF via FRED, May 2026), up 41.5% in a year, and U.S. industrial electricity averages 8.66 cents per kWh. Both feed electrified-hardware unit economics.

Common questions

How do you calculate an OT integration readiness score? Rate severity, occurrence and detection each from 1 to 10, then apply weights: severity x 0.40 + occurrence x 0.35 + detection x 0.25. With scores of 7, 5 and 4 the weighted readiness score is 5.55.
What is a good OT integration readiness score? On a 1-10 input scale, weighted scores below about 3 indicate a low-risk, integration-ready asset; 3 to 6 is moderate and worth planning mitigations; above 6 is high risk. The example's 5.55 sits in the moderate-to-high band and warrants a closer look before connecting.
Why weight severity higher than detection? A severe integration failure that takes down a line or corrupts control data is costlier than one that is merely frequent or hard to spot, so severity carries 0.40, occurrence 0.35 and detection 0.25. You can adjust the weights, but keep them consistent across every asset you compare.
Readiness score vs traditional FMEA RPN? Classic RPN multiplies severity x occurrence x detection, which explodes the range and over-penalizes a single high rating. This weighted-sum approach keeps the result on the same 1-10 scale and makes scores directly comparable and easier to interpret.
How is the detection score interpreted here? A higher detection score means issues are harder to catch before they affect operations, which raises risk. So a detection rating of 4 means problems are reasonably detectable, contributing 4 x 0.25 = 1.0 to the example's 5.55 total.

Last reviewed 2026-05-12.