Build vs. Buy
Why AI forces banks to rethink an old question
When banks adopt a major new technology, the same question always returns: should we build it ourselves or buy it from someone else? With AI, that question carries more weight than ever.
Banks are no longer just evaluating software. They are deciding how much intelligence to own, how much to source, and how to preserve control over the workflows, data, and judgment that define their institution.
This whitepaper offers a practical framework for making that decision.
Inside, we cover:
Why banks have successfully navigated major technology shifts before — and why AI is different this time
Where internal AI build efforts tend to stall, even after promising pilots
Why off-the-shelf AI tools often fall short in real banking workflows
What a hybrid strategy looks like in practice: buy intelligence, build the last mile
The six-part framework for evaluating any AI build vs. buy decision
How to think about speed, control, compliance, future-proofing, and adoption in one decision model
What “AI-native” actually means inside a bank — beyond chatbots and point solutions
Download the full paper below to explore the complete framework and supporting analysis.