Our leadership team is split between purchasing an expensive, off-the-shelf AI engine with limited customization or coding our own platform using open APIs. How do we use the strategic real options framework to evaluate our project development stage and quantify the market learning process before we lock ourselves into a vendor contract?

Question

Tyler Smith · Accepted Answer

Deciding whether to buy a commercial AI solution or build a proprietary platform is a major strategic hurdle. To resolve this, you must look at your product development stage and analyze the learning process of your market using a strategic real options framework.

Buying an off-the-shelf platform allows you to move quickly, but it introduces vendor lock-in and limits your ability to differentiate. Building a proprietary tool requires a significant lump-sum cost and introduces technical debt, but it creates long-term enterprise value and protects your market position.

To make this decision, run the issue through your weekly Level 10 Meeting. First, evaluate your current development stage. Do you have the private information and internal data required to build a tool that is genuinely superior to commercial software? If your internal data is not a differentiator, buying is the logical option.

Second, quantify the flow cost of waiting. If you delay this decision by one or two quarters, what market share do you lose to faster competitors? If the flow cost of waiting is low, you should wait and allow commercial tools to mature. If the flow cost is high, you must act now.

Use the IDS process to choose a path and commit to it on your V/TO. If you build, set a quarterly Rock to deliver a minimal viable product. If you buy, ensure the vendor contract allows you to export your data easily so you retain your strategic optionality in the future.