The Business Case for AI Voice Agents: ROI and Payback
How to build a business case for an AI voice agent: every cost line per minute and per month, the value of resolved calls, the ROI and payback formulas with a worked example, the build-or-buy choice, the pilot that proves the numbers and the platform checklist.
Read the full guide →Deep Dives in This Series
Build vs Buy: Should You Build Your Own Voice AI Stack?
Build vs buy for voice AI, with a third option: build the stack from scratch, rent a closed platform, or run an open-source platform you own. Compared on speed, who keeps your call data, per-minute fees, leaving, and tuning models on your own calls.
What Does an AI Voice Agent Cost per Minute? The Full Breakdown
What an AI voice agent costs per minute, line by line: the platform fee, model usage across speech-to-text, the language model and the voice, and the phone carrier's rate, added up for one US minute, plus the costs outside the minute and ways to bring it down.
Calculating ROI on Automated Collections Calls
How to calculate ROI on automated collections calls: define success as a payment received within set days, count it per 100 accounts reached against a matched group, and compare the agent's cost per payment with a human collection team, inside Regulation F and consent rules.
How to Run a Voice AI Pilot That Survives Procurement
How to run a voice AI pilot that procurement can sign off: write the metric, baseline and go/no-go line first, reuse the script your best callers already use, keep inbound scope narrow with transfers and callbacks, measure every call, and answer the exit and security questions early.
Voice AI Platform Buyer's Checklist, With RFP Questions
A buyer's checklist for evaluating voice AI platforms: test on your own calls over real phone lines, then check models, carriers and transfer, system access, data location, QA, concurrency, every price line and how you leave, with an RFP question list you can copy.