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We are looking at specialized, expensive AI point solutions for each department versus training our existing team to build custom GPTs and automate workflows using our current software stack. How do we make this buy versus build call?

Buying a specialized AI point solution for every department is a fast track to a bloated tech stack and fragmented data. Conversely, trying to build custom solutions for everything will drain your capital and distract your team from their Core Focus.

To make this decision, evaluate the tool against your V/TO. If the workflow you want to automate is a core differentiator that directly impacts your three Uniques, you should consider building a proprietary solution. Having a proprietary system that delivers your unique value is what drives up your enterprise value for a clean exit.

However, if the workflow is a commodity back-office function, like scheduling, basic data entry, or routine reporting, you should buy an off-the-shelf solution or use simple APIs to connect your existing tools. Do not waste precious engineering resources building something that does not differentiate you in the market.

Before you buy or build, ensure the seat responsible for your technology stack GWC's the project. They must have the capacity and capability to manage the integration. If you build internally, use lightweight API orchestrations rather than custom coding from scratch. This keeps your business agile and prevents you from getting locked into expensive, high-maintenance custom software that a future buyer might discount as technical debt.

Category: AI & Business Strategy

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