Buying vs Building Software: CFO Decision Guide

When it comes to buying vs building software, my default position is clear:

Buy the foundation.
Build only what truly differentiates you.

As a Fractional CFO, I strongly prefer purchasing core systems — ERP, AP/AR automation, payroll, FP&A/EPM, and basic analytics — and only developing custom workflows when the business model is unique enough that off-the-shelf tools create distortion or block scale.

Simply put: buy your base applications and selectively build the workflows that create real competitive advantage.


The Case for Buying Software

For most companies, buying software wins on speed, cost efficiency, and operational clarity.

1. Speed to Market

Modern SaaS platforms deploy in weeks — sometimes days.

Internal builds often take quarters or years.

When you’re fixing reporting, tightening cash management, or improving forecasting, time-to-value matters.


2. Lower Operational Burden

Building internally requires:

  • A full IT support structure
  • Ongoing upgrades and testing
  • Cross-department sign-offs
  • Security oversight

SaaS vendors distribute these costs across thousands of customers. You benefit from maintenance, compliance updates, and feature improvements without funding a product team.


3. Battle-Tested Finance Practices

Off-the-shelf tools embed standardized processes for:

  • Revenue recognition
  • Month-end close
  • Compliance controls
  • Audit trails

That reduces design risk and audit friction.


4. Continuous Innovation

AI forecasting, anomaly detection, and workflow automation are constantly evolving.

When buying software, innovation comes bundled.


5. Focus on Strategic Finance

Every hour spent managing internal software is an hour not spent on:

  • Pricing strategy
  • Cash conversion improvement
  • Margin expansion
  • M&A analysis

That opportunity cost is real.


The Downsides of Buying Software

Buying isn’t perfect.

Limited Flexibility

You operate within the vendor’s data model and roadmap. Complex pricing or unconventional revenue models can hit ceilings.

Subscription Creep

As you grow, so do licenses, integrations, and add-ons — driving total cost of ownership higher.

Integration Friction

Multiple SaaS tools stitched together can create spreadsheet workarounds and fragile workflows.


When Building Software Makes Sense

When I encounter limitations — usually around complex pricing logic, proprietary revenue models, or unique operational data — I evaluate building targeted components on top of a purchased core.


The Case for Building Software

1. Designed for Your Reality

Custom software reflects your actual approval flows, business logic, and performance standards — instead of forcing your team to adapt to rigid workflows.


2. Strategic Differentiation

If your proprietary engine (pricing, fraud detection, capacity optimization, scoring models) drives competitive advantage, owning that logic can matter.


3. Control and Ownership

You control:

  • Product roadmap
  • Data model
  • Release cadence

No dependency on vendor prioritization.


The Risks of Building Software

It’s More Complex Than It Looks

Internal tools require:

  • Product management
  • Engineering
  • QA
  • Security
  • Documentation
  • Ongoing support

Scope creep is common. Delays are normal.


Hidden Lifecycle Costs

Version 1 is only the beginning.

You still owe:

  • Bug fixes
  • Refactoring
  • Compliance updates
  • Training
  • Scaling investments

Without sustained funding, internal tools decay.


Key Person Risk

If one engineer holds critical knowledge, turnover becomes a serious operational risk.


How I Decide: A Practical Build vs Buy Framework

When evaluating buying vs building software, I run each decision through three filters.


1. Is This Strategic or Commodity?

Commodity functions (buy):

  • Payroll
  • Basic general ledger
  • Standard CRM
  • Ticketing systems

The market has already optimized these.

Strategic functions (consider building):

  • Proprietary pricing engines
  • Custom revenue models
  • Exclusive operational planning logic
  • Unique data science models

2. What Is the Time-to-Value Requirement?

If impact is required this fiscal year, I lean toward buying.

If we’re executing a multi-year transformation with funded engineering capacity, building becomes viable.


3. Do We Have Real Engineering Capacity?

If you don’t have a stable, funded internal team committed to maintaining the system long term, you should not build it.


The Blended Approach: My Preferred Strategy

In most cases, the best answer to buying vs building software is not binary.

It’s hybrid.

Buy a solid core system.
Extend it intelligently.

Use low-code tools, APIs, dashboards, micro-workflows, and targeted decision engines layered on top of a dependable SaaS foundation.

This approach:

  • Reduces risk
  • Accelerates time-to-value
  • Controls lifecycle costs
  • Preserves differentiation

You avoid rebuilding what the market already perfected — while still owning what truly sets you apart.


Final Thought

Software should support your business model — not become the business model.

As a Fractional CFO, my bias is clear:

Buy the base. Build the edge. Scale with discipline.

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