Configuring Fin AI Agent properly: the settings that fix its 4 flaws

Fin is sold as the best AI agent for chat support. In the field, four complaints keep coming up: it states things that are false, it writes too much, it ignores who it is talking to, and it lacks material to answer from. None of these is fixed in the same place. Here is the matching setting, symptom by symptom, with the official source each time.

The diagnosis in one table

1. Fin gives false information

Start with what the vendor claims. The Fin AI Engine page states that every answer is grounded in your knowledge base, and that the in-house model produces 65% fewer hallucinations than Sonnet 4.6. That is a comparative figure, not an absolute rate, and the vendor measured it. Fin's own evaluation guide advises against taking it on trust: audit at least 200 answers and flag any claim not grounded in a source.

The important point lies elsewhere. "Grounded in your knowledge base" means Fin faithfully repeats what your content says, including when it is wrong, vague or silent. The documentation says it plainly: when information is ambiguous, Fin may make inferences to provide the most helpful answer, which can occasionally produce an inaccurate one. Most of Fin's "lies" are content problems, not model problems.

The trap: "if you don't know, escalate"

It is every team's first reflex, and it does not work. The Guidance documentation is explicit: instructions are checked before Fin searches your content. When it reads "if you don't know the answer", it does not yet know that it doesn't. Guidance cannot influence what Fin doesn't know.

What works

• Document limitations in plain words. According to Fin, this is the factor that most directly prevents a misleading answer. "Some configurations may not support export" is not enough. Write which configuration, what the limit is, and what to do instead. An undocumented limitation is one Fin will never flag.
• Ban vague numbers. "A few minutes", "shortly", "some requests": Fin will fill the gap. Give the exact value and do the math for it (12 business days in total, not 7 then 5).
• Remove rather than forbid. Writing "don't use this article" in guidance guarantees nothing: Fin may still use it if it is the best match. To neutralize stale content, disable it for Fin or restrict it to the right audience.
• Pin the source on sensitive topics. The "Content and sources" guidance category lets you impose a specific article for a type of question (refunds, pricing, security). Fin prioritizes it, then combines it with the rest.
• Know the sync delay. Your Intercom public articles update immediately. External content and synced websites are refreshed once a week. After a price change on your site, Fin may quote the old price for seven days unless you re-sync by hand.
• Filter what your APIs return. If Fin queries your systems, know that unstructured or overly large API payloads cause it to hallucinate. Trim the payload and normalize dates before handing it over.

For topics where a mistake is expensive, the best configuration is still not letting Fin answer. We cover that trade-off in Fin or human agent: which conversations to route to AI.

2. Fin sends messages that are too long

This one has a switch, and few teams have found it. Under Fin AI Agent > Train > Guidance > Basics, the "Fin's answer length" setting offers three positions.

The documentation notes that Thorough could bring a minor increase in resolution rate over Concise, around 2%. On chat, where the customer reads on a phone between two tasks, that gain costs a lot in readability. Our recommendation: Concise by default on chat, then measure.

Three limits to know before declaring victory:

• The setting only applies to generated answers. Greetings and clarifying questions are not affected.
• It is global: it cannot be targeted by audience. For a per-channel cap, use a "Communication style" guidance, since each guidance has a channel selector (Chat, Email, Voice). Fin provides an example for Facebook and Instagram, which are capped at 1,000 characters.
• It does not fix a catch-all article. A section covering three things generates, by the documentation's own admission, unfocused answers. One heading, one topic: that split controls what Fin retrieves, and therefore what it sends back.

3. Fin struggles with customer context

By default, Fin knows very little about the person in front of it. With identity verification enabled, it receives six basic attributes: name, email, city, country, browser locale and conversation start time. It also knows which page the customer is on. Everything else, starting with plan, role or tenure, stays invisible until you expose it. There are three ways to do that, from simplest to most powerful.

1. Expose attributes in the Data Hub. Under Train > Data, each attribute has a three-state toggle: enabled, test (visible in preview only) or disabled. Two caveats: the Data Hub is in open beta, and it only covers People and Company objects. Conversation attributes and custom objects are not there yet.
2. Target by audience. An audience is defined once (plan = Pro, country = FR) and then applied to content, guidance and connectors. Two details change everything. Anything without an audience is served to everyone. And a rule change only applies to new conversations.
3. Plug in a Data connector. For what lives outside Intercom (an order, an invoice, an account status), Fin calls your API. The documentation recommends describing in 3 to 5 sentences when it should trigger, using the words your customers actually use.

One last, little-known blind spot: Fin does not read a ticket's description field. It only works from messages sent in the conversation. If your form collects all the context in that field, Fin never sees it.

4. Fin lacks documentation to answer from

Guidance is not a knowledge source: it tunes behavior, not knowledge. If the information exists in no source, no instruction will make it appear. The good news is that the missing knowledge almost always exists somewhere, just not where Fin looks.

• Recycle your macros. This is the highest-yield tip in the official documentation: go through your saved replies and turn them into articles or snippets. Your agents have already written the answer dozens of times.
• Use snippets for what has no other home. A snippet is a short piece of content you enable for Fin without publishing it to the help center. It is the right format for an internal policy detail or a time-sensitive notice.
• Connect internal sources. Fin syncs with Notion, Confluence, Guru, Zendesk, Salesforce, Box, Freshdesk and Document360, and reads PDFs and public web pages. The limit is 100 external sources.
• Read the Optimize suggestions. Under Analyze > Optimize, Fin reviews the conversations it could not handle and proposes every week content to create or fix, along with the conversations that triggered the suggestion.
• Spot content that resolves nothing. The Fin AI Agent report shows, per piece of content, how many conversations used it and how many it resolved. A heavily used, rarely resolving article is your rewrite priority.

These tools show the gaps Fin has run into. For the ones it has not seen yet, our method is in Detecting the real gaps in your knowledge base.

Writing guidance Fin actually follows

Guidance shows up in every section, so learn its rules. Fin decides by judgment whether to apply an instruction: precision matters more than intent.

• One guidance, one objective. Several simple rules beat one nested rule full of "and/or".
• Address Fin as "you". "When a customer mentions a refund, escalate" works better than "Fin should escalate".
• Never a prohibition without an alternative. "Do not apologize" leaves Fin with no action. Say what it should do instead.
• No chaining. One guidance cannot trigger another: each is evaluated separately, at every turn.
• Hunt contradictions. The writing assistant (the lightbulb in the editor) flags ambiguity, redundancy and contradiction.

Each guidance is capped at 2,500 characters. On the number of guidances, the documentation contradicts itself: the Intercom help page states a maximum of 100 live at one time, the fin.ai version of the same article says 1,000 per workspace. We could not settle it. When in doubt, aim for restraint: it is what works best anyway. And for a multi-step process that must be followed to the letter, Fin points to Procedures, not Guidance.

What no setting will tell you

A configuration is validated before going live, with Fin's testing tools, then monitored afterwards. The second half is the one most often missing. The four flaws in this article share one trait: none of them shows up in the resolution rate. A false, overlong or out-of-context answer closes the conversation like any other.

That is what ResponZ quality scoring measures: one score per Fin answer, on accuracy, relevance, tone and completeness. You change a setting, you see whether the score moves. Without that loop, configuring Fin is tuning an instrument without listening to it.