Should you build AI-powered customer support in-house or buy from a vendor? The answer depends on your team size, ticket volume, engineering capacity, and how you value time to market versus long-term control.
This free calculator compares the three-year total cost of ownership for both paths. On the build side, it models engineering salaries, development timelines, rebuild cycles, ongoing maintenance, and integration effort. On the buy side, it calculates costs based on your ticket volume and expected AI resolution rates.
Most teams underestimate the true cost of building in-house. Engineering time is just the beginning — the real cost drivers are the rebuild cycles that happen as requirements change, the maintenance burden that grows over time, and the integration work needed to connect with your existing support stack.
The calculator is designed for CX leaders, engineering managers, and finance teams who need a clear-eyed comparison to support a business case. Every input is customizable, so you can model your exact situation rather than relying on generic industry benchmarks.
No signup required. Adjust the inputs and see costs update in real time. Download your results as a PDF or share them with stakeholders via a link.
The calculator models engineering salaries, development time, rebuild cycles, ongoing maintenance FTEs, integration effort, and admin overhead for the build path. For the buy path, it uses per-resolution pricing based on your ticket volume and AI resolution rate.
The calculator uses industry-standard cost assumptions and lets you customize every input. The result is a directional estimate designed to surface the order-of-magnitude cost difference and identify which cost drivers matter most.
Yes. Most teams go through 2-3 major rebuilds in the first three years. The calculator explicitly models rebuild cycles, maintenance headcount, and integration time alongside the initial build cost.