Software Second

SS About Software Second

Built to test technology claims against economic reality.

Software Second exists to answer a practical question: what is the most economically sound, reliable way to get this work done well?

Software Second markPEOPLE FIRST
SOFTWARE SECOND
ECONOMICS ALWAYS

01 Evidence-led

Technology claims have to survive contact with economic reality.

Software Second turns public evidence and explicit operating assumptions into practical comparisons of AI, automation, software, and human work.

Research standard How the analysis is built

  • 01Traceable evidenceSeparate sourced facts, modeled assumptions, and Software Second inferences.
  • 02Full-cost economicsCount implementation, integration, oversight, maintenance, failure, and switching costs.
  • 03Comparable alternativesEvaluate human work, SaaS, APIs, local models, conventional automation, and custom software on equal terms.
  • 04Captured valueDistinguish useful capacity from cash savings, avoided cost, throughput, and attributable contribution.
  • 05Reproducible modelsMake inputs, formulas, limitations, and decision conditions visible enough to challenge.
  • 06Continuous revisionUpdate conclusions when prices, capabilities, evidence, or operating assumptions change.

A persuasive demo is not enough. Recommendations must account for deployment, integration, maintenance, monitoring, human review, reliability, and the value an organization can actually capture.

02 The name reflects the method

Software Second.

Understand the work first.

Determine the business objective.

Measure the baseline.

Then decide whether software belongs in the solution.

Technology decisions are too often made from vendor demos, AI hype, benchmarks, feature lists, and theoretical time savings instead of actual workflows, full costs, failure modes, human review, adoption, captured value, and measurable outcomes.

Software comes second.

03 Decision quality changes the questions

What happens after the demo?

  1. 01

    Does it work in the real workflow?

  2. 02

    Will people use it consistently?

  3. 03

    What does it cost in full?

  4. 04

    What work or spend does it actually replace?

  5. 05

    What additional work does it create?

  6. 06

    What happens when it fails?

  7. 07

    What is the measurable economic result?

04 The position

Neutral about technology.
Demanding about economics.

Software Second is not trying to maximize the number of AI projects. The goal is to maximize economically rational technology decisions.

H Human strengths

  • Judgment and accountability
  • Trust and relationships
  • Negotiation and persuasion
  • Ambiguity and contextual reasoning
  • Leadership and complex exceptions

S Software strengths

  • Repetition and speed
  • Consistency and calculation
  • Search and transformation
  • Routing and monitoring
  • Structured processing at scale
Humans make the judgment. Software handles the administration around it.

05 How the work compounds

Research informs practice.
Practice improves research.

  1. 01

    Research

    Publish useful, assumption-led economic analysis.

  2. 02

    Model

    Turn evidence and explicit assumptions into reproducible economics.

  3. 03

    Compare

    Test credible human and technology alternatives on equal terms.

  4. 04

    Improve

    Use new evidence to strengthen the public research and decision tools.

We are building toward a deeper knowledge base. We do not claim proprietary client datasets, fabricated benchmarks, or results we have not earned.

06 Start with the evidence

Research it. Model it.
Measure yours.

Use the public research and calculators first. When generalized assumptions stop being enough, the company audit replaces them with your operation.

Explore the research Run a calculation Read the methodology