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  • Hacker News
  • Is this the same Fin that you get when contacting Anthropic support?

    > The AI Agent is powered by the company’s proprietary AI model, Apex, that is purpose-built for customer support

    Wow. If so, Anthropic is not using their own AI for their own support! (I had assumed the AI support agent was an Anthropic one, because, well, Anthropic.) And given how poor my experience with Anthropic support is, I have a very, very low view of Fin.

  • I always hated seeing Intercom bugs when a simple help menu would work better, but it proves that being annoying is a winning strategy. As my various SaaS packages have switched to AI bugs, I have never had one successfully help me until I say, "Can I please speak to a human?"
  • When did intercom change its name to Fin?
    by asim
  • > The AI Agent is powered by the company’s proprietary AI model, Apex

    When will I be able to talk to Salesforce Apex from Salesforce Apex?

  • You’ll need wrap it in flow first
  • Knowing salesforce a little, only if you upgrade to a different license tier.
  • Why does $3.6B sound really low. Intercom seems like a major player in AI customer service. What's the catch here?

    If I remember correctly, they were the first of the customer service chatbot SaaS companies to quickly pivot to a complete AI product.

    A lot of hype too by their employees and founding team for Fin on LinkedIn. I did NOT expect the final exit to not even touch double digits. Very interesting.

  • a small team can do customer service agents at much cheaper.
  • If that's the exit valuation of the most popular AI support tool (even Anthropic use them) then this doesn't support the trillion valuations of companies like Nvidia, SpaceX (AI), etc
  • sierra is the most popular private support tool (16B)
  • According to public info I see, their last raise was at a valuation of $2B to $2.5B. If that's correct, that's a decent exit, right?
  • …why? What would the appropriate multiple between them be?
  • For years I always felt if I got a human on the other end I could understand that a company valued me as a customer enough to provide fantastic support. I could still understand the trade-off if I called and got someone barely-understandable, as long as they can still solve my issue. AI support agents tend to just make up reasons they can’t help you or you’re holding it wrong, or they are only able to do things the UI already allows, so they are actually of negative value to me.
  • I would say this means the problem you are having isn’t documented by the company then. AI help agents are just fancy documentation search engines. If it’s documented someplace they do well, if not they try to help but ultimately can’t.

    I’ll note this failure mode generally applies on tier 1/2 support with humans as well.

  • Dont worry this is Marc Benioff burning another 3 billion, on a non profitable company, while regularly showing up on CNBC to claim Salesforce was doing so much Agentic AI...

    Hopefully Salesforce did their due diligence, because the "AI agent" story here on Intercom (Fin) seems highly inflated. The product seems to be a a hybrid of RAG, some post trained models, curated help center content, custom answers, workflows, a bunch of if-else rules, API connectors, escalation logic, and specially generous resolution accounting.

    Calling every solved interaction with the "AI did it" is misleading unless they separate confirmed resolutions from assumed resolutions, and disclose how much came from rules and workflows or custom answers versus LLM reasoning...

    From their own docs, it seems a Fin "outcome" can be counted on, not only when a customer confirms resolution, but also ...when the customer simply does not ask for more help after Fin responds...A very soft resolution metric...

  • I like the idea I read somewhere that AI text and agents break the social contract of communication. That if you can’t be fucked to write something yourself to me, then I shouldn’t bother to read it.

    However, in the case of support agents. If it worked, and it was painless that would be something.

    For example… On the company side, if it could reduce human support to the customers that actually need support, that’s cool. Your support agents aren’t spending all day with the three common issues or replacing stickers.

    On the customer side; if I could call in and immediately get support without being on hold with their shit repeating audio script, didn’t have to spend 10 minutes “looking up my account” to an accent I can’t understand and repeating my name and address multiple times.

    That said… AT&T is already using the absolute worst case scenario - they are currently using AI with a slight Indian accent and pretending it’s real peoples. It seems to be 90% automated, and if you question it about being AI or have a question it can’t understand a human pops in on the other side, interacts, then hops off and it goes back to being full-AI.

    It could be great but it’s already awful.

  • Various companies have found the flip side of that: the AI agent can be overly helpful, and offer you things you're not entitled to. Such as unlocking other people's accounts, or discount flights, or so on.

    Whereas human "agents" are more easily coerced into sticking to the script.

  • afaik you are not the customer for customer support, and in the vast majority of cases human phone support is setup for the opposite case where people just want to be walked through something they can't find in the UI.

    So this isn't as much of a financial engineering cost cutting move as it feels like to the type of person who truly calls because the require a human. It truly provides better service to the majority of people because they get their answer faster and more efficiently.

    This is also demonstrated in the pricing of these systems at a per "open cases resolved"- they're putting their money where their mouth is.

    Of course I'm also personally in the group where I call because I can already read a support page and I really need a human.... It could conceivably put true human support into another tier higher of perceived value.

  • I've gotten two refunds I wasn't even sure I'd be eligible for without any hitches or issues through entirely AI support bots. As with many things it's always a matter of how it's implemented.
  • Unless it’s a Meta AI support agent, in which case it will bend over backwards for you up to and including resetting other people’s passwords for you. Now that’s service!
  • I'm starting to think it's wise to call a business's support line before ever doing business with them. Actual human immediately? You're at the top of the list. Phone menu labyrinth followed by a human? Ok, fine. Chatbot? Eliminated from contention.
  • I am convinced, that anything touched by Salesforce is going to become an obnoxious product and at some point either become a plague walled garden one has to deal with at corporate jobs, or it dies an agonizing death, from its own user hostility.

    Salesforce is basically like Atlassian. Don't expect any good things to roll out of that one.

  • Intercom was obnoxious already. Reminds me of when I walk into a store and someone immediately accosts me with "may i help you" and then I walk right out.

    You want to sell stuff? Don't mind my existence, let me look first at everything you have on display, and I'll initiate the conversations when I feel ready.

  • Intercom is definitely one of those SaaS that I figured had essentially zero value prop once businesses figured out how to train their own support agents, so congrats to them for exiting before that happens.
  • Correct. Seen this first hand.
    by saos
  • its very hard for most businesses, especially large ones, to build good agents (not the kind that does rag on a faq) that complete actions autonomously and cannot be jailbroken

    demand for ai support vendors is going vertical this year

  • Why would businesses do that when they can pay a fraction of a ML departments salary to a company like fin?

    This is the same reasoning people use to say SaaS is dead, but it makes no sense. Rolling things yourself is often 10x more costly and not worth it, even with agents you need to pay 5-10 guys 150k-250k a year to build and train your own agent, why not pay fin 250k flat and not deal with any of it? Same goes with basically all other software that has nothing to do with your core product.

    SaaS is alive and well and will continue to be.

  • This is extremely naive and I’ll invite to try and built something like this and compare it with Fin performance
  • I do think people tend to over estimate how much staff care at all about the outcomes of new initiatives. Rolling out a new in house chatbot? More likely just going to fire everyone and give you more work.

    So many companies have such failed cultures they are just getting by delegating all serious matters to younger companies with people who actually care. If your staff never benefit from any of their work, nobody has any reason to care about how well you build your own in house Support / CRM / Chatbot / SaaS.

    Not sure if this has been coined as a term, but its some form of "effort arbitrage"