Is AI automation worth it for your team? Enter your current human costs and estimated AI usage to see monthly savings, ROI percentage, and payback period. Built for managers and founders evaluating AI investments.
Calculate your ROI here, then estimate detailed per-call costs or find a cheaper model.
AI ROI = (Human cost saved - AI cost) / AI cost × 100. Enter your current labor cost for the task you want to automate, estimate the percentage AI can handle, and subtract the LLM API cost plus platform fees. Most teams see 200-500% ROI on high-volume, repetitive tasks like customer support or data extraction.
For well-defined, repetitive tasks (ticket triage, FAQ responses, data extraction, content drafts), AI handles 60-80% without human review. Complex tasks requiring judgment (escalations, creative strategy, edge cases) typically stay at 20-40% automation. Start conservative and increase as you tune your prompts. See our AI ROI guide for benchmarks by industry.
Beyond API costs, factor in: engineering time to build and maintain the integration (one-time setup), a monitoring platform like Tokonomics ($49/mo), prompt iteration and testing, and human review for edge cases. Our hidden costs guide covers the full picture.
GPT-4o-mini handles 80% of automation use cases at $0.15/M input tokens — 17x cheaper than GPT-4o with comparable quality for structured tasks. For complex reasoning, use Claude Sonnet or GPT-4o selectively. Use our model matrix to compare options by use case.