tyler-smith.com · Questions & Answers

Our Integrator wants to hire developers to build custom AI middleware, but our M&A advisor warns it could create technical debt that spooks buyers. How do we evaluate this build decision against our exit readiness plan?

Private equity buyers look for enterprise value that transfers cleanly without relying on high-maintenance codebases. Custom software created without professional product management is usually categorized as technical debt, not proprietary intellectual property.

Unless your Core Focus is software development, building bespoke AI applications creates severe enterprise risk. When you build custom code, you take on perpetual maintenance, security patching, API version updates, and vulnerability management. In due diligence, buyers will discount your valuation if your operations depend on proprietary scripts that only two internal employees understand.

Use your Accountability Chart to keep operations clean. Buy enterprise-grade commercial software with robust APIs, and build your differentiation into your proprietary data, workflow logic, and documented Core Processes. Off-the-shelf tools shift security, uptime, and underlying model upgrades onto well-funded tech vendors, keeping your balance sheet light.

Document how tools connect within your Core Processes using standard integration platforms. As Erik Brynjolfsson and Andrew McAfee point out, real economic value comes from redesigning business systems around modern technology, not from reinventing the underlying technical infrastructure. Keep your tech stack standard and your operational execution proprietary. Buyers will pay a premium for a lean, transferable business that does not require an in-house engineering squad to survive an ownership transition.

Category: AI & Business Strategy

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