AI Automation ROI Planning Model | PlanckCyber

AI Project Planning · Updated August 8, 2026

By PlanckCyber

AI Automation ROI Planning Model

A transparent worksheet for ranges, assumptions and sensitivity — not a promised return.

How to use this resource

Use ranges, not a single optimistic number. Include hidden review work, exceptions, adoption, operating cost and the cost of being wrong.

Important: This is a planning model, not a forecast or guarantee. Use qualified financial, tax and accounting review where required.

Audience

Finance, operations, transformation and executive sponsors

When to use it

A team needs an economic case for a workflow initiative.

Objective

Build a defensible value and cost range tied to a measurable baseline.

Current-state baseline

  • Annual workflow volume
  • Average minutes per case
  • Fully loaded labor cost per hour
  • Current rework / error rate
  • Current direct vendor cost
  • Other material cost or risk

Value assumptions

  • Expected time reduction range
  • Expected quality / rework change
  • Capacity or revenue effect
  • Risk reduction method
  • Adoption ramp by quarter
  • Value realization owner

Cost assumptions

  • Readiness and pilot cost
  • Production build cost
  • Client internal labor
  • Cloud / model / software cost
  • Monitoring and support cost
  • Security / legal / change cost
  • Contingency

Core formulas

  • Annual labor cost = volume × minutes ÷ 60 × loaded hourly cost.
  • Annual time value = annual labor cost × validated time-reduction range × adoption.
  • Quality value = avoided rework or loss based on the measured baseline.
  • Net annual value = validated value − annual operating cost.
  • Payback period = initial investment ÷ monthly net value, where monthly net value is positive.
  • ROI planning range = (cumulative net value − initial investment) ÷ initial investment.

Sensitivity and decision

  • Test adoption, time reduction, quality effect, operating cost and implementation duration across low/base/high cases.
  • Record the most uncertain assumption.
  • Define the break-even condition and downside case.
  • Record the decision, reviewer and date.

Start with the problem

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