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Need new systems? Upgrading a tech stack? Undergoing a full digital transformation?
When faced with these inevitable organisational challenges, the question often arises: should you build software in-house or buy an existing/pre-built solution? It’s a decision that impacts timelines, costs, and long-term flexibility.
At SIG Machine Learning, we’ve worked with many organisations navigating this choice, and here’s how we recommend approaching it.
Why Consider Building Software?
Building software in-house can be a great choice when:
The Problem is Unique: If your business challenge is specific to your operations, a custom-built solution might be the best fit.
Core to Your Business: If the software plays a critical role in your value proposition, having control over its development is essential.
Flexibility Matters: Building in-house gives you the ability to iterate, pivot, and scale without being locked into a vendor’s roadmap.
Why Consider Buying Software?
Buying off-the-shelf software can save time and resources in situations like:
Time Sensitivity: If you need a solution fast, buying often gets you up and running in weeks instead of months.
Standardised Needs: If the problem you’re solving can be solved with proven market solutions.
Resource Constraints: Not every organisation has the internal capacity to develop and maintain custom software.
Key Factors to Consider
When deciding between building or buying, weigh these critical factors:
1. Benefit
How soon do you need a solution? If time-to-delivery is critical, buying might be the better option.
How can you minimise time spent building and focus on applying and refining the solution for maximum impact?
2. Cost
What’s the opportunity cost of spending months building in-house versus deploying a ready-made solution?
If maintenance of software isn’t core to your business, how will you minimise the cost and burden of upkeep?
3. Risk
How do you de-risk early-stage investments in solutions, especially if you’re exploring new territory?
Do you have visibility into the solution space, or are you limited by internal knowledge and expertise?
4. Vendor Lock-In
Does the software integrate with your existing systems, or will it create dependencies that limit future flexibility?
Look for solutions with flexible APIs and modular designs to avoid being stuck with one vendor.
Finding the Right Balance
It’s not always a binary choice. Many organisations benefit from a hybrid approach:
Build the Core, Buy the Rest: Develop custom solutions for unique, business-critical needs while leveraging market-proven software for supporting functions.
Incremental Build: Start with a bought solution to meet immediate needs, and develop a tailored version in parallel as you scale.
Composable Architecture: Use modular, API-driven platforms to combine custom builds with off-the-shelf components.
Where Technology Partners Fit In
Navigating the build vs. buy decision is easier with expert guidance. Trusted technology partners can:
Help you assess your unique needs and long-term goals.
Evaluate market-ready solutions versus the feasibility of building in-house.
Ensure the chosen solution—whether built or bought—is scalable, cost-effective, and future-proof.
Conclusion: Build, Buy, or Both?
The best approach depends on your business’s unique requirements, timelines, and resources. Start with a clear problem statement, evaluate your options, and make an informed choice. Whether you decide to build, buy, or combine the two, the key is to prioritise flexibility, speed, and alignment with your strategic goals.
At SIG Machine Learning, we help organisations navigate these decisions. If you’re weighing your options, let’s discuss how we can help you design the perfect solution - tailored to your needs - today. Contact us to find out more, view a demo, discuss training opportunities, and/or scope a trial of AI tools.
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