AWS provides Amazon Lex, a chatbot building technology.
$0
Per Speech Request
Fin by Intercom
Score 8.6 out of 10
N/A
Fin is Intercom’s AI Agent for customer service, designed to deliver high-quality answers, even for complex queries. It works with any helpdesk, or it can be paired with Intercom’s next-generation Helpdesk to get the full Intercom Customer Service Suite.
$0.99
one-time fee per 1 resolution
Pricing
Amazon Lex
Fin by Intercom
Editions & Modules
Request and Response
$0.004
Per Speech Request
Stream Conversation
$0.0065
Per Speech Interval
Fin with your current helpdesk
$0.99
one-time fee per 1 resolution
Copilot add-on
$35
per month per user
The Early Stage program
$65
per month (6 support seats)
Proactive Support Plus add-on
$99
per month
Fin with Intercom’s Helpdesk
from $39 + $0.99 per Fin resolution
per month per seat
Offerings
Pricing Offerings
Amazon Lex
Fin by Intercom
Free Trial
No
Yes
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
—
Fin comes with a 90-day money-back guarantee. Here's how it works:
Use Fin in at least 250 conversations within the first 90 days after trial. If you're not satisfied, you can request a refund of up to $1M. Refund requests must be submitted within 90 days of starting the subscription.
If you wish to quickly deploy multilingual chatbots without having to worry about infrastructure and model training, go for Amazon Lex. It is one of the best general-purpose conversational AI solutions in the market. The cherry on the cake is that it also seamlessly integrates with other AWS services, so you would be good there. Performance monitoring is very easy with AWS. It has support for both text and integration. If you are not a pro-NLP expert, Amazon Lex will make your job really easy.
It's great for a web-enabled tool, so there is immediate ability to give feedback or ask questions. It isn't as easy to set up a desktop application as it would require more coding experience. Some older users are skeptical of its abilities, and that it is taking away from customer service, but in our use, it enhances it - that is a tough barrier to breach.
Answering simply queries that can be gotten from information in our help articles - powering self-serve for our customers.
Helping us triage and analyse customer queries by understanding key custom attributed of a conversation and key data points to help us route customers to the right team.
Through automation, helping our teammate be more quick and efficient in resolution times and SLAs.
If I can see that our Fin involvement/resolution rate has increased in one week, it would be great to see the theme of conversations it's resolving, rather than having to dig around to see why there was an increase.
Sometimes the hand-over functionality doesn't work as well as it could, and often Fin errs on the side of resolving the conversation (which I understand because we're charged per resolution), but this can be frustrating to have to sift through and dig these customers back out.
We have been and will be continuing our journey with Intercom and nothing too concerning has happened that I have experienced or heard of that has us on the edge yet. If it ever happens it will be something along the lines of "Outgrowing" the use of need of the platform.
Easy to deploy and very easy to integrate with other AWS services. Automating simple tasks is also very easy with Amazon Lex. We never had NLP experts in our team, but we were still able to deploy chatbots for our support functions with minimal issues. Native integration with other AWS services like S3 and Lambda has been of paramount importance.
The usability of Fin by Intercom is intuitive and easy to use. When I used it for the first time, it didn’t take me long to understand how the platform works and how to set things up. It also provided helpful guidance, and there is a Fin bot that you can use to learn more about the platform and ask questions.
Community support for Amazon Lex is good. Also, since it is an AWS service, the support has a similar standard as other AWS services. We have had a couple of instances of our bots weren't able to interact with our web apps. We reached out to the support team, and they were able to resolve our issue in no time. The documentation from the Amazon Lex team also makes creating chatbots a breeze.
Intercom is the premier customer support/engagement model and it definitely has one of the top tier customer support teams as well. I don't think I have ever waited more than 5 minutes to get the information I need or get help with an issue. They are incredible and I aim to model our customer service department after them.
Fin definitely stacks up pretty much at the same level when it comes to leveraging the input data KB to address customer queries. However reporting flexibility is something missing compared to the two mentioned platforms. The categorization of issues is much easier and accurate making it further analysis less time intensive. Why we selected Finis a difficult question for me to answer as the above platforms are from my previous company and when I moved to my current role Fin was already in place.
