Per-Resolution Pricing
A billing model where you pay per AI-resolved ticket rather than per seat or per conversation. Popularised by Intercom Fin at $0.99/resolution. High risk of invoice shock at scale.
Per-resolution pricing charges you each time the AI agent closes a customer conversation without requiring human escalation. The defining example is Intercom Fin, which charges $0.99 per “Fin resolution” on top of agent seat costs.
Why it matters
Per-resolution pricing is the single biggest billing-model risk for CX teams evaluating AI chatbots in 2026. The model sounds attractive at first — “you only pay when the AI actually works.” In practice, the definition of “resolution” determines whether you’re paying for value or paying for the AI talking to customers.
The Intercom gotcha: Intercom counts a Fin resolution when Fin closes a conversation. If a human agent takes over and resolves the issue, and then Fin sends a closing “Is there anything else I can help with?” message, Intercom counts this as a Fin resolution. This has been flagged extensively in user communities (r/CustomerSuccess, G2 reviews) and resulted in 100–120% invoice increases for teams who didn’t tune their escalation configuration carefully.
How it compares to other models
| Model | Predictability | Good for | Risk |
|---|---|---|---|
| Per-resolution | Low — scales with AI volume and configuration | High-volume teams with well-tuned AI | Invoice shock; misaligned incentives |
| Per-conversation | Medium — scales with conversation volume | Most SMBs | Overage on traffic spikes |
| Per-agent seat | High — fixed per head count | Stable teams with consistent volume | Doesn’t reward AI efficiency |
| Flat-rate | Highest | Budget-constrained teams | May hit hard caps on volume |
Real-world example
A 6-agent SMB CX team handling 3,000 monthly support conversations enables Intercom Fin expecting 60% deflection:
- Expected Fin resolutions: 1,800/month
- Cost: 1,800 Ã- $0.99 = $1,782/month in Fin fees
- Agent seats: 6 Ã- $39/month = $234/month
- Total: $2,016/month
At a 60% deflection rate, Fin is replacing 1,800 human-handled tickets. If your cost per human ticket is $6 (e.g., 10-minute handle time at $36/hour), the savings from 1,800 deflected tickets = $10,800. Fin costs $1,782. Net saving: $9,018/month.
The math works — but only if the deflection rate stays at 60% and the “resolution” definition maps cleanly to actual AI success. Most teams find the first month’s bill is 30–40% higher than modelled because early escalation configuration is too permissive.
Who should use per-resolution pricing
Per-resolution pricing favours teams that:
- Have high ticket volumes (5,000+/month) where the per-resolution math produces net savings even after billing inefficiency
- Have dedicated CS ops people who can tune escalation logic
- Are comfortable with variable monthly invoices
Teams that should avoid it: small teams under 1,000 tickets/month (the math rarely works), teams without CS ops resources, and teams where finance needs predictable monthly costs.