Honest comparison
FlowChat vs Intercom Fin
We’re going to tell you when Intercom Fin is the better fit. We only want customers we’re actually going to keep.
You have a docs site or help center you've invested in, you want every answer cited and the bot to refuse when it doesn't know, and you want predictable monthly pricing instead of paying per resolved ticket.
You're already running your support stack on Intercom, you want the bot inside that platform, and the per-resolution pricing model fits your business better than a fixed monthly subscription.
Where we genuinely differ
Citations versus deflection. Fin is optimised for the deflection rate — the percentage of conversations resolved without a human agent. That number is what gets quoted on Intercom’s marketing site, and Fin is good at it. Where Fin falls short is showing where a particular answer came from. If your QA team gets a customer screenshot of an off-policy answer, tracing it back to a specific article requires reading the conversation log. With FlowChat, every sentence in every answer links to a specific page on your docs — procurement-ready by default.
Refusal versus “keep trying.” Fin is tuned to answer if it possibly can — that’s how the resolution-rate number gets to 65%. The trade-off is that on edge-case questions, Fin will produce a fluent but confidently-wrong answer rather than refuse. FlowChat refuses when retrieval confidence is low, with the closest related pages. The deflection number ends up lower, but the CSAT-on-AI number ends up higher — and you don’t get the screenshot from Legal.
Pricing model. Fin’s $0.99-per-resolved-ticket pricing is genuinely interesting — you only pay when it works. The flip side: a viral support week (or a slow rollout where the bot resolves very little) makes your CFO’s monthly budget unforecastable. FlowChat is fixed-tier with $0.005-per-answer overage. A 5x traffic spike is a $250 line item, not a contract renegotiation.
Side-by-side
| FlowChat | Intercom Fin | |
|---|---|---|
| Pricing model | $49–$2,500+/mo, predictable monthly | $0.99 per resolved ticket |
| Citations on every answer | Every claim links to a real page | Sources shown after answer; not per-sentence |
| Refuses when uncertain | Says 'I don't know' + closest sources | Tries to answer everything; tuned for resolution rate |
| Native helpdesk | Plugs into Zendesk, Intercom, HubSpot, etc. | Intercom is the helpdesk |
| Crawls your existing docs site | Any URL — JS-rendered or static | Limited; primarily reads Intercom-hosted articles |
| Time to first crawl | <60 minutes | Days to weeks |
| Auditability of every answer | Click any sentence → source page | Conversation logs but not per-claim sourcing |
| Multi-language | 40+ languages, English-only docs OK | Resolves in 45 languages |
| Engineering investment to deploy | Two lines of HTML | Customer team migration |
Comparison reflects the public Fin product as of 2026-Q2. We update this page when either product ships substantial changes.
What teams ask before switching
“We’re already on Intercom for the rest of our support.” That’s a good reason to stay on Fin. The integration cost of ripping out one piece of an integrated suite often outweighs the answer-quality gain. We hear from teams who keep Intercom for the helpdesk and add FlowChat alongside it for the docs surface — visitors get FlowChat’s cited-and-honest answers before they ever open Intercom.
“Per-resolution pricing is great when AI works.” True. It’s also a problem when AI has a bad month, or when your finance team has to forecast budget. FlowChat’s monthly model is cheaper at high volumes, more predictable at low volumes, and doesn’t incentivise us to push deflection over CSAT.
See it in action.
The live demo on our homepage runs the production retrieval pipeline against this site. Ask the same questions you’d ask Intercom Fin and watch how they get handled differently.