Build vs. Buy

Build vs. Buy — How Enterprises Are Choosing

The build-vs-buy decision for enterprise voice AI has shifted dramatically in a very short window.

In 2024, the split between enterprises building AI solutions in-house and purchasing them was nearly even — 47% built, 53% purchased. By 2025, that ratio had reversed decisively: only 24% built internally, compared to 76% purchased. [48]

The shift reflects a market-wide recognition that the hidden costs of custom development — ongoing maintenance, compliance overhead, model versioning, and technical debt — often exceed the apparent cost of a vendor solution.

"It is crucial for companies to comprehend the advanced abilities of these modern agents, which can perform a wide range of tasks beyond those of standard chatbots or even copilots. The latest agents are capable of not just conversing but also taking action."

— Ritu Jyoti, GVP/GM AI and Data Market Research & Advisory, IDC

The case for buying:

• Production-ready voice AI agents can be deployed in as little as 5–14 days using leading platforms, compared to 4–9 months for a comparable custom-built solution. [49, 46]
• Purchased solutions offer more predictable costs — typically $5,000–$100,000 annually — versus custom builds that regularly run $250,000–$1 million+ in initial development. [50]
• Vendor platforms provide continuous model updates, compliance tooling, and ecosystem integrations that would require sustained internal investment to replicate.