A Fin alternative that does not meter your support

Two different models, honestly compared

Fin is a capable product with a proprietary support model and a large customer base. It is not the wrong choice for everyone. These are the axes where the two genuinely differ.

The honest summary: if you want a broad multi-channel suite with the AI operated for you and you are comfortable with usage-based cost, Fin is a strong product and you should probably stay. If you want focused live chat, predictable cost, and your conversations and AI processing on infrastructure you control, that is the case for ZChat.

Working out what you would actually pay

Per-resolution pricing is not expensive at low volume; that is the point of it. It becomes a budgeting question at scale, so it is worth doing the arithmetic with your own numbers rather than ours.

1. 1. Take your monthly conversation volume, then apply a realistic AI resolution rate. Published case studies put real-world rates in the 40-50% range, so half is a fair planning assumption.
2. 2. Multiply resolved conversations by the per-resolution price, and add your seat subscription.
3. 3. Project it forward for the growth you are planning, then compare against $19 per AI agent per month plus whatever you would pay your own model provider, which is zero if you run Ollama locally.

Fin figures on this page - $0.99 per resolution and the $49 per month plan including 50 - are its published pricing as checked in August 2026. The rename from Intercom and the Salesforce agreement were confirmed against Salesforce's own announcement at the same time. Competitor pricing and deal status both change; check the current figures before you rely on this comparison.

For a small team with modest volume, hosted usually wins on convenience. The crossover arrives sooner than most teams expect once volume grows, and the difference is not only the total but the predictability.

Moving across

1. 1. Export your history first. Pull your transcripts out of Fin while your account is still active. ZChat does not import another vendor's history, so that export is your archive of everything before the cutover.
2. 2. Evaluate locally. The download is the full product, free for production use with unlimited agents and domains. One command creates the demo database and starts the server, and a verification checklist proves the install is sound.
3. 3. Recreate your setup. Agents, departments, canned responses, operating hours and widget appearance. Usually an afternoon, not a project.
4. 4. Run both in parallel. Put the ZChat widget on a few low-traffic pages while Fin keeps serving the rest. Real conversations surface workflow gaps that a feature checklist never will.
5. 5. Cut over, then cancel. Swap the remaining pages, confirm conversations and offline messages arrive and transcripts are stored, keep the old tool a day or two as a fallback, then cancel.

Questions we get asked