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]
2024
47% built · 53% purchased
2025
24% built · 76% purchased
Vendor solutions deploy in 5–14 days vs 4–9 months for custom builds. Costs: $5K–$100K/yr vs $250K–$1M+ for custom development.
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.
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.