Internal · Pricing Console · v2.4

Pricing Console

Set the client profile and the deal grade responds as you go. Every assumption is editable, and any cost line can be added. When a quote reaches an A, the price defends itself.

Deal rating · F to A+

Margin Above floor Fee covers build

Margin, floor, and build coverage combined

The rule 2.0 hrs× $70× 3= $420 floor The floor keeps every quote above the true cost of people’s time — the aim is to stay above it.

Client profile

Client / prospect

Systems connected 1

Count each connected system — operating platform, QuickBooks, payroll, marketing, ads.

Locations 1

The first location is at full price; additional locations follow the adder set in Assumptions.

Service level

Support and maintenance 2.0 hrs / mo

A realistic monthly estimate of hands-on time — this is what sets the floor.

Contractor rate ($/hr)

AI usage

Build effort, one time 50 hrs

Custom monthly costs

Assumptions — edit the model

Floor multiple (× human cost)

Location adder (% of base)

Core anchor ($/mo)

Connected anchor ($/mo)

Command anchor ($/mo)

Volume break after N locations

Adder after break (%)

AI light / med / heavy ($)

Hosting base + per system ($)

Hosting per extra location ($)

Managed: hours multiplier (×)

Managed forces Command tier

Connected tier at N systems

Command at systems / locations

Min markup over cost (×)

Round price to ($)

AI surcharge: after N locations × mult

Grade cutoffs % — A+ / A / B / C / D

Implementation fees: Core / Connected / Command ($)

The quote

Core

Connected

Command

$850/ month

Adjust the quote $850

Monthly cost

$185

all buckets

Gross profit

$665

per month

Year 1 GP

$9,480

incl. impl fee − build

Client year 1

$15,200

12 months + fee

People AI Hosting Custom

Implementation fee, one time$5,000

Build cost at current rate$3,500

How grading works: margin drives the letter, and every cutoff is editable in Assumptions. A quote below the floor caps the grade at C, and an implementation fee that does not cover the build lowers the grade by one. Every parameter in this model is open to adjust — and the estimated hours should give way to tracked Moda actuals once 60 days of data are in.