Product function

AI ROI quantification

How Merjora turns an opportunity into a defensible value range: baseline, value drivers, implementation cost and payback period.

Quantification converts an opportunity into a value range with an explicit baseline and stated assumptions. Merjora models time recovered, error reduction and capacity created, subtracts realistic implementation and run costs, and expresses the result as a range with a confidence level rather than a single flattering number.

What this function does

  • Establishes the current cost of the workflow before any AI is applied
  • Models value drivers separately: time, quality, capacity, revenue timing
  • Applies an adoption discount so the number survives contact with reality
  • Subtracts build, integration, licence and oversight costs

What it needs from you

  • Volumes: contacts, cases, documents or transactions per month
  • Time per unit of work, or a defensible estimate
  • Loaded cost per hour for the people doing the work

What you get back

  • A low/expected/high annual value range per opportunity
  • Payback period and the assumptions the payback depends on
  • A confidence level and the specific input that most affects it

How it works

  1. 01

    Baseline

    Current cost is calculated from volume × time × loaded rate before any benefit is claimed.

  2. 02

    Model

    Each value driver is calculated separately so nothing is double counted.

  3. 03

    Discount

    An adoption factor is applied — no workflow reaches full benefit on day one.

  4. 04

    Net

    Implementation and running costs are subtracted to produce a net range and payback.

What it deliberately does not do

  • It does not report a single point estimate
  • It does not count the same hour twice across two opportunities
  • It does not assume 100% adoption or zero oversight cost

Questions

Why a range instead of one number?
Because a single number implies a precision nobody has before implementation. A range with stated assumptions is what a finance director can actually challenge and approve.
Can we change the assumptions?
Yes. Every input is visible and adjustable. If your loaded cost or volume differs, the range recalculates rather than hiding the difference.

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