Decision Intelligence Framework

Master Asset & Software TCO Calculator

An analytical framework designed to transition high-value choices from subjective, emotional assessments to mathematically sound, objective decisions. Compare custom software builds vs. SaaS, calculate personal asset cost-per-use, evaluate repair-vs-replace thresholds, and audit tinkering time taxes.

Decision VerdictBUY

Verdict: BUY / UPGRADE

Managed SaaS saves $668,620 by eliminating manual SOC 2 Type II audit and infrastructure engineering drag.

3-Yr Custom TCO

$681,000

3-Yr SaaS TCO

$12,380

Break-Even

4.8 Months

SaaS CPU / Mo

$0.0138/MAU

⚙️ Input parameters

Step 2 of 4

Monthly Active Users (MAUs)

25,000

Developer Loaded Rate ($/hr)

$85/hr

Initial Build Time (Months)

3 months

Maintenance Overhead FTE

50% FTE

Compliance target level

SaaS Managed Platform

3-Year SaaS Cumulative TCO

$12,380

Visible setup & integration

SDK Setup Labor$680

Subscription overage

Monthly License Fee$325 / mo

In-House Custom Build

3-Year Custom Cumulative TCO

$681,000

Upfront CapEx (Visible)

Initial Build Labor$61,200

Hidden OpEx Drag (Invisible)

3-Yr Upkeep:$244,800

3-Yr Compliance:$225,000

Opportunity Cost:$150,000

⚠️ Strategic risk assessment

Select the behavioral checkboxes to analyze risk biases:

Step 4 of 4

Sunk Cost Bias"We have already spent substantial resources and developer hours patching our custom auth logic, so we must keep maintaining it."

Key-Person Turn-Over Risk"Our custom auth middleware, OAuth flow, and token session validation were built and are maintained by a single senior engineer."

Brittle Integration Tax"We stitch multiple no-code visual tables and external databases (e.g. Notion, Zapier, Softr) to sync user sessions."

Operator notes

How to use this engine

1. Select your Mode: Choose between Enterprise CIAM, Cost-Per-Use, Repair vs Replace, or Tinkering Tax tabs at the top.
2. Input your Specifics: Adjust the sliders to match your operational scales, loaded developer rates, personal time value, or repair quotes.
3. Observe the Matrix: Review the Visible vs. Invisible Cost Matrix to analyze the "iceberg" costs of the decision.
4. Stress-Test Risk Biases: Complete the step-4 checklists to flag Sunk Cost Fallacies or Key-Person Turnover risks.

Decision Rationale

Whether building custom authentication middleware or buying a premium home espresso maker, the engine normalizes capital allocation into utilization metrics to highlight the financial break-even point.

Mathematical Formulas

Custom Build TCO Model:

TCO = Build + 3×Compliance + 36×Maintenance + Opportunity Cost

Personal CPU TCO Model:

TCO = Sticker Price + Operating Cost + Upkeep Cost

Asset Tech Debt Index:

Index = Age × Immediate Repair Cost

Monthly Tinkering Time Tax:

Tinkering Cost = Troubleshoot Hours × Value of Time

All calculations run client-side instantly via React hooks and can be bookmarked or saved locally on your device automatically.

FAQ

What is the difference between Enterprise and Personal TCO?

Enterprise TCO evaluates loaded developer salaries, compliance certification audits, and roadmap opportunity costs. Personal TCO translates these same concepts into personal financial and lifestyle metrics, such as billable/leisure time value, home utility expenses, physical maintenance upkeep, and asset depreciation.

How do the different Repair-vs-Replace thresholds work?

The Adapted Consumer "5,000 Rule" uses an asset debt index (structural age multiplied by immediate repair cost). For major home infrastructure (HVAC systems, roofs, cars), a score of 5,000 or higher triggers a replace verdict. For personal electronics (laptops, phones), the threshold is scaled down to 1,500.

How is "Tinkering Tax" calculated?

It multiplies the hours you spend troubleshooting, manual copy-pasting, or fixing fragile workarounds per month by your personal opportunity value of time. If this monthly labor value exceeds a paid integrated app subscription fee, you are paying a hidden "tinkering tax" by using a "free" stack.

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