Microsoft offers the Azure Bot Service (replacing the former Microsoft Bot Framework), a managed bot building platform, which provides an integrated environment that is purpose-built for bot development, enabling you to build, connect, test, deploy, and manage intelligent bots, all from one place.
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Fin
Score 8.8 out of 10
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Fin is an AI Agent for customer service. It automates complex queries, improves resolution times, and delivers consistently high-quality support at scale.
$0.99
one-time fee per outcome
Five9 Intelligent Virtual Agent
Score 8.6 out of 10
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Five9 Intelligent Virtual Agent, based on Inference Studio which was developed by Inference Solutions and acquired by Five9 October 2020, is a web based visual tool that enables users to build AI-Powered Intelligent Virtual Agents to help businesses of all sizes automate their customer care workloads.
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Pricing
Azure AI Bot Service
Fin
Five9 Intelligent Virtual Agent
Editions & Modules
No answers on this topic
Fin with your current helpdesk
$0.99
one-time fee per outcome
Copilot add-on
$35
per month per user
Pro add-on
$99
per month For analysis of 1,000 conversations
Fin with Intercom’s Helpdesk
from $39 + $0.99 per Fin outcome
per month per seat
No answers on this topic
Offerings
Pricing Offerings
Azure AI Bot Service
Fin
Five9 Intelligent Virtual Agent
Free Trial
No
Yes
No
Free/Freemium Version
No
No
No
Premium Consulting/Integration Services
No
No
No
Entry-level Setup Fee
No setup fee
No setup fee
No setup fee
Additional Details
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Fin comes with a 90-day money-back guarantee. Here's how it works:
Intercom states that users who sign up for the Fin Guarantee Success Program and do not achieve at least a resolution rate of 65% will be paid $1M. This program is designed for high volume customers.
Eligibility criteria:
High volume customers (over 250k monthly conversions) in North America and Europe. Intercom states that phase one of this program will admit customers on Intercom Helpdesk or Zendesk.
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More Pricing Information
Community Pulse
Azure AI Bot Service
Fin
Five9 Intelligent Virtual Agent
Considered Multiple Products
Azure AI Bot Service
Verified User
Anonymous
Chose Azure AI Bot Service
Better integration, wide language support, advance analytics, speech recognition etc.
Microsoft Bot Framework is much better and well more established without a lot of proprietary software/coding language. Lex is very limited with integration with standard hardware and network configurations. Lex has performance issues and was too slow to meet near real-time …
In personal preference, I would always pick Fin over any of the aforementioned products. For me, it's its easier to set up, very intuitive interface, amazing workflow builder and one of the most important parts it stands out above all, is the team behind Fin. Success and …
We used a much older version of Zendesk six years ago, so the AI features didn't exist back then—which makes it pretty hard to compare. In any case, I immediately found Intercom simpler, more intuitive, and more professional, with features the other platform didn't offer. …
Fin completely surpasses our old system for support requests. Not only can we get granular data for each customer interaction, but we also now have access to top-quality metrics and reporting. The integrative nature of Fin also made it easier to transition platforms by simply …
We selected Intercom over Zendesk as AI was ready to use and Zendesk did not have such features. Overall it was the right decision and everything including the switch to intercom went quite well.
The choice was made before I joined the company, but we've evaluated the usage and purpose of Fin across the years and are still happy with our choice.
Fin far surpasses these other options in platform features and capabilities. Fin allows for side-by-side use by both the Marketing and Support teams, while none of the other similar products did that well. Most platforms are designed for one or the other, not both.
Our previous support platform didn't offer an AI agent (they used it internally for their own tickets, but there were delays with shipping it to their users, i.e., us, so we migrated to Intercom). Our colleagues from different brands within our own company demoed a different …
There are so many AI platforms available, and you could theoretically build a system using the available AI API's from any of the big platforms. However, I dont think it's as easy as this. Intercom is deliberately built for customer service, the features they are releasing a …
Fin by Intercom vs. Zendesk/Salesforce - Fin by Intercom is often cheaper at low-to-mid volumes because it has a lower base platform fee (starting around $29–$39/seat). However, Zendesk AI and Salesforce Agentforce can be more predictable for massive enterprises because they …
I have only used the free versions of ChatGPT and Claude but I will say that Fin by Intercom AI is built specifically around our data that we give it access to, so its going to be a lot much accurate and safer for an organization to use. We have been happy Fin by Intercom users …
Fin beat out our competitors in price, accuracy, ease of set-up/training, and also allowed us a free demo environment during the exploratory phase without needing to sign anything.
Granted I think both Zendesk and Salesforce are very good tools, I still think that Fin by Intercom is the best I've used. Salesforce can be very laggy at times, and there's nothing that can be done about it. The interface is clunky. Zendesk is coming in at a real close second, …
Huge difference: Crisp is immature yet can't read images or send images; the workflows are broken and cannot be relied upon. The agent breaks in between and is yet way behind. It need a lot of work yet and will be good to go in an year or two.
Although we have not utilised a specific chat box like Fin before in other websites, we have used ChatGPT and Claude within our general work. Our Product and Engineering team make use of Devin within Azure Dev Ops to support with their work. However, Fin is the most suitable …
From personal experience, I can recommend the Azure AI service to reduce the burden on your customer service team, as we did. We created a customer service bot and automated our Frequently Asked Questions section, as well as an interactive platform for registering other complaints that the bot cannot handle, which are later addressed by our customer service team.
Fin is fantastic at answering simpler inquiries, where the range and types of questions are easier to categorize. Thereby reducing the subset of possible answers. Where it has shown great improvement - but still needs more improvement - is by becoming a true Agentic AI support engineer that is capable of answering more technically nuanced questions. Our product has a lot of variables used for troubleshooting that cannot be adequately captured in documentation. Even though we provide thousands of pages of spec docs, each issue is unique. Training and empowering Fin to be as good as a Level 1 support engineer is still very challenging.
We've used a different dialer before which didn't had proper recording where we have to cross referrence date and time. With Five9 Intelligent Virtual Agent, we can referrence phone numbers and integration with Salesforce. This allowed us to quickly pull out call information or accounts details when doing calibration. This also helps greatly with reporting as we can see how frequent a caller calls our support line.
Audience Engagement & Support Chatbots for Viewer Bots can answer FAQs about show timings, cast details, subscription plans Etc.
Interactive Experiences: Bots integrated into apps or behind-the-scenes content to boost viewer interaction.
Content Discovery & Personalization Bots can guide users to discover new shows or movies based on preferences using natural language queries.
Social Media & Campaign Automation Bots can automate responses to fan comments, promote upcoming releases, and manage contests or giveaways across platforms like Twitter, Facebook, and Instagram.
They have simplified the coding for the bot in Azure, but it would help if the coding was further simplified so that non-IT can operate [and] create it easily.
It seems some users really struggle to figure out how to escalate to a human (especially through email).
Not excited about how "soft" resolutions still count as resolutions and are paid for. Though some abandoned cases appear to be able to be concluded as "the user got the answer they needed", there are others where they clearly didn't, because they just open up another chat (or even more), trying to get more info. This pads the resolution stats and makes it seem more effective than it actually is.
Cost -- Fin is quite expensive. It helps us with scaling coverage, but we're not really saving money.
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.
Azure AI Bot Service comes with an Integrated Development Environment and Bot Framework SDK that simplifies development. Having a single codebase for multiple channels, such as MS Teams, Facebook, and Slack, makes it easier to target multiple platforms without requiring redevelopment. LUIS and OpenAI can be easily integrated with your Chatbot to provide a seammless chat bot expereince to customers.
The platform is overall clear and intuitive. As with any new platform, there's a learning curve, but that wasn't an issue for our team (and it shouldn't be an issue for others). Fin options are scattered across several submenus, and I'd like them grouped together, but I also like having all those training-related tabs open at all times, so it's not much of a real issue for me.
Very user friendly as an agent but can be a bit over whelming when you're admin. It's best to have a visual guide or if the onboarding is much smoother guiding the admin depending on their use case
Microsoft's customer service staff is friendly and extremely knowledgeable. They are always available to assist you with bot framework-related issues that you may be experiencing. They provide training sessions, manuals, and support personnel, among other things. Bugs were easily spotted and patched, which was one of my pet peeves about patching.
I can get help by asking Fin questions about itself. It answers accurately, citing its own Help Center resources with visuals. It can reason and dialogue well. But when it comes to getting human support for Fin, it is not as quick. It can sometimes take a few days. They are polite and well-meaning. Some things aren't their fault (product limitations), but there was one occasion where something took a long time to resolve with lots of back and forth but it was I who found out the error in the end that they missed, so they didn't really help resolve it.
Microsoft Bot Framework is much better and well more established without a lot of proprietary software/coding language. Lex is very limited with integration with standard hardware and network configurations. Lex has performance issues and was too slow to meet near real-time collaboration requirements. Bot Framework complements many other Microsoft communication products and this was key to implementing without a lot of new training required.
Fin completely surpasses our old system for support requests. Not only can we get granular data for each customer interaction, but we also now have access to top-quality metrics and reporting. The integrative nature of Fin also made it easier to transition platforms by simply integrating with the previous system.
Interfaces with the SQL data set, tracks down plans/replies, and tests them with the SDK.
Utilizing the system is made conceivable by the Bot Dev gateway. We can interface our bot in excess of ten channels, including Twilio Facebook, Twilio, Twilio, and Slack, and that's only the tip of the iceberg.
New role opportunities — Using the “Fin-first” approach has reduced the workload for our Tier 1 team, giving them more time to focus on their own career growth. It’s also opened the door to a dedicated, AI-focused role, where a team member regularly reviews Fin’s answers and makes updates to help it perform even better.
Enabling Fin has also reduced our response time and allowed us to meet SLA's.