INTERACTIVE PLANNING TOOL

AI Network & ROI Calculator

Simulate a network footprint and explore the financial impact of your MTTR, alarm-correlation and field-dispatch assumptions.

Network operations and engineering context

Your network. Your assumptions.

Move the sliders and enable the scenario options to see how the model changes.

ILLUSTRATIVE SCENARIO · AUD

Managed nodes—

Modelled incidents / year—

Scenario MTTR—

Incident-hours reduced / year—

Net recurring value / year—

First-year ROI—

Operating payback—

Alarms after filtering / day—

Current annual exposure—

Scenario annual exposure—

Scope a NOC service

Editable examples, not measured results, a quotation or a promise of CFCR-delivered ROI. Inputs stay in your browser. Capacity or avoided downtime is not automatically a cash saving.

Model, units and limitations

Nodes = sites × nodes/site. Annual incidents = nodes ÷ 100 × monthly incident rate × 12. Scenario MTTR = current MTTR × (1 − reduction) when AI-assisted assurance is enabled. Downtime value = annual incidents × MTTR change × the business impact per incident-hour.

Dispatch value = annual incidents × dispatch share × dispatch reduction × dispatch cost when remote checks are enabled. Annual service cost = sites × monthly cost/site × 12. Recurring value = downtime value + dispatch value − annual service cost. First-year ROI = (benefits − annual service cost − setup) ÷ (annual service cost + setup) × 100. Payback = setup ÷ positive recurring value × 12 months.

Alarm-noise suppression changes the displayed alarm count only; it is not counted as another financial benefit. Enter an impact cost that excludes field-dispatch cost to avoid double-counting. The model assumes benefits start immediately and excludes tax, financing, ramp-up, overlapping incidents and unmodelled dependencies. The MTTR and dispatch improvements must be tested against real baselines.

Connect the estimate to the operating model.

Explore service scope and the engineering that supports it.