Build, Buy or Augment? A Strategic Framework for Enterprise AI Development
Current Status
Research Question
As Artificial Intelligence becomes embedded throughout organisations, leaders face an increasingly important strategic decision:
Should existing systems be replaced, enhanced, or left unchanged?
This research investigates how organisations should determine whether AI should build entirely new solutions or augment existing business capabilities.
The Problem
Many organisations approach AI as an opportunity to rebuild systems from the ground up.
However, decades of investment already exist in enterprise software, workflows, governance, and business processes.
Rebuilding mature systems solely because AI exists may introduce unnecessary cost, risk, and complexity.
The absence of structured decision frameworks often results in organisations reinventing solutions rather than enhancing existing capabilities.
Why This Research Matters
Enterprise AI investment should be driven by business value rather than technological enthusiasm.
Understanding when to rebuild, when to augment, and when to maintain existing systems is essential for responsible AI investment.
Research Objectives
- 01Define criteria for Build, Buy, or Augment decisions.
- 02Evaluate organisational costs and benefits.
- 03Identify situations where AI enhancement provides greater value than replacement.
- 04Develop strategic decision guidance for enterprise AI investments.
Key Research Questions
- 01When should organisations rebuild software using AI?
- 02When should AI enhance existing enterprise systems?
- 03When should organisations avoid rebuilding entirely?
- 04What business conditions justify complete redevelopment?
- 05How should long-term maintenance influence these decisions?
Expected Contribution
A structured Build–Buy–Augment framework for Enterprise AI investment.