The honest price ranges
AI automation pricing in 2026 clusters into four tiers. A custom chatbot or single-workflow automation runs in the low thousands of dollars to set up, plus a modest monthly for hosting and monitoring. An AI voice agent that answers and books calls typically lands in the same range, with usage-based costs per call minute. Multi-system platforms — document automation integrated with your ERP, or an operations agent spanning CRM, billing, and scheduling — run from the mid five figures. Enterprise deployments with compliance requirements (HIPAA, GLBA, BSA/AML) reach six figures, driven by validation, audit trails, and integration depth rather than the AI itself.
Beware of two pricing traps: per-seat SaaS tools that look cheap until you realize nobody configured them to your business (the tool is 20% of the outcome), and agencies quoting “AI strategy” retainers with no shipped workflow attached. Pay for outcomes: a working automation, integrated, monitored, with a number attached to what it saves.
The ROI math that actually matters
The formula is simple: (hours of repetitive work per week × loaded hourly cost × 52) + (after-hours leads currently lost × close rate × average deal). A service business missing 10 calls a week at a $400 average job loses over $200K a year to voicemail — a voice agent costing a few thousand pays back in weeks. A back office spending 30 hours a week rekeying documents at $35/hour burns $54K annually on work AI executes end-to-end.
Run your own numbers with our free ROI calculator, or book a scoping call — we put a written savings estimate on the table before any commitment.
Questions to ask any AI automation vendor
Ask what happens after launch (monitoring should be included, not an upsell), who owns the integrations and prompts (you should), what the audit trail looks like (every action logged), and for a reference workflow with real before/after numbers. A vendor who cannot answer those four is selling tools, not outcomes.