Chatbots in Enterprises - Its Challenges, Benefits and Applications

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Cost to Develop A Chatbot

Cost to Develop A Chatbot

A Chatbot is a computer program constructed to arouse communication with humans, especially over the Internet. Eliza was the first chatbot which was assembled at the MIT Artificial Intelligence Laboratory by Joseph Weizenbaum.

Chatbot has always been an integral part of any business. It is helpful for the people who are looking for a cheap assistant, communicating with the people even if its 4 AM. The primary aim of a chatbot app development is to offer services, support, and scale business team in their relations with clients. Chatbots have become a prevelant medium to interact with your customer, which is based on how it is programmed. Some are limited to reply only basic questions while others are more advanced & powerful in understanding the concerns solving out the complications quickly. There has been massive growth in the Chatbot Industry. Their demand rose more when popular social media companies like Facebook, Slack, and Telegram started to adopt it. According to Marketsandmarkets, the market of chatbot raised to $703 Million in 2016. The reports based on Google trends, we can see that the interest over time for the term “chatbot” as searched for by people worldwide.

A Chatbot is a computer program constructed to arouse communication with humans, especially over the Internet. Eliza was the first chatbot which was assembled at the MIT Artificial Intelligence Laboratory by Joseph Weizenbaum. Some of the examples are as follow:

Benefits of Chatbot app:

1.    Enhanced customer service:

Imagine you lose your 30% of your customers just because you weren't there to respond to their queries. The days are gone when you have to wait 10 to 20 minutes in a queue just for solving a query. Chatbots are programmed in such a way that even when you're replying rudely, they will answer your queries very politely and will resolve your queries. The primary factor for considering a chatbot is that it is available 24/7, where your queries are being answered at any time. That will result in your high sales and a good lead whenever a customer arrives and need some help regarding your products and services. As a person, there are some situations where a bot can't be replaced.

2.    Achieving Lead:

If you have a gorgeous website, there will be a higher chance of getting more leads. But before that, you have to figure out the need of the people. Based on the reports gathered, you can easily understand what consumer needs and can provide an excellent solution to them. A Chatbot enables you to follow-up on all the guests and visitors from the time of visiting the site to the time they make a purchase. During this period, the chatbot offers the necessary information and answers regarding your business, products, or services. It will also suggest some products which customers may find convenient. This full participation of the chatbot from start to the end can generate some good leads for your business.

3.    Auditing consumer data:

Keeping a chatbot on your site will grant you to gather data about your customers. From the data fetched, you can analyze and achieve some relevant insights. You can also tell them their choices based on what they like and what they don't. This will guide you in creating some immersive products and enhance your services based on their options and demands.

4.    Getting up-to-date:

It is necessary for you to be in trends to make your business stay consistent. Numerous customers of yours are also using Facebook messenger, and Telegram, which supports Chatbot. Your website can assimilate chatbots to allow more user engagement and can make your business reachable to more and more people. With the help of Chatbot, a user can easily explore information regarding your product and can make a purchase easily.

Types of Chatbot

There two types of chatbots that you can spend in.

  • Bots integrated into your app: The work of this chatbot is functioned inside a mobile app. It executes a specific function for the well-being of interaction proceeding between the user & application.

  • Bots which operate within Messenger: These type of chatbots reside in the messenger itself which supports bot interaction. It suits best for the businesses who aspire to keep social media as a center of their business model.

Cost of building a chatbot:

After having a look at the market of the chatbots and, advantages they provide; Let's have an overlook to the actual cost of developing a chatbot:

There are two ways to build a chatbot application:

  • Build your own: If you are equipped with a team of developers or you have capabilities to do programming, then you can easily develop a bespoke chatbot app based on your preferences & requirements. However, the significant drawbacks will be the cost and time required. Moreover, maintaining the whole chatbot will be your responsibility.

  • Adopt a Chatbot builder: This alternative frequently includes paying a month to month membership for a platform where you can construct your chatbot. In return, you will gain a framework to build upon, and support as well as maintenance from the vendor.

The approx cost of making a chatbot application is up to $30,000. The cost also includes the development, design and full integration part of the chatbot application. The cost also varies based on the modifications performed according to the features.

To discuss the actual cost of your chatbot app development, you can contact us or can hire professional app developers at just $15/hr. Alternatively, you can also visit us at Chatbot App Development Solutions.


Lastly, there is an end number of benefits of using a chatbot. Some of them are already mentioned in this article. Research shows that more people will prefer to chat rather than calling. With the improvement in technology, chatbots are built in almost every platform. The cost of developing a chatbot app varies from location, companies, and developers.

Getting Started with AWS Chatbot

Getting Started with AWS Chatbot

This post will walk you through my journey getting up and running with AWS Chatbot. By the end of it, hopefully both you and I will have AWS Chatbot posting some alerts out to Slack!

This post will walk you through my journey getting up and running with AWS Chatbot. By the end of it, hopefully both you and I will have AWS Chatbot posting some alerts out to Slack!

I recently saw that AWS released a new offering called Chatbot and that it is advertised as a way to monitor and alert on events from AWS services. The big attention grabber for me was Chatbot’s ability to send to Slack.

Don’t have time for the guess and check aspect of this post? Scroll to the bottom to find my conclusion.

Getting Started

AWS Chatbot

The beta preview link seems to only work is us-east-2…I hope that it can monitor resources in other regions…

After clicking the beta preview, I am prompted to configure a chat client, in this case I am going to pick Slack.

Getting started with AWS ChatBot

As you would expect, Chatbot needs your permission to be installed in your Slack workspace. The permissions seem reasonable given what we want the Chatbot to do so I will click install.

AWS Chatbot required access for Slack Integration

I am now redirected to the AWS Console where I need to configure my Slack settings. For this use case, I want to report to a private channel. I’ll create one now.

Creating a new private Slack channel

Then I need to copy the channel URL to paste back into the AWS Console. I will be using the default IAM role that AWS suggests and I will not add any regions for SNS topics. I did see that regions other than us-east-2 were options which boosts my confidence that we will be able to monitor other regions. Below is my initial configuration:

Initial configuration of AWS Chatbot working with a private Slack channel

Ok, at this point I will admit I didn’t read any of the docs about how AWS Chatbot works and I am quickly fearing that all it does is forward SNS alerts to Slack. I am not sure how this would be better than having SNS email alerts get forwarded to Slack…so let’s hope Chatbot can read logs or do something unique…

AWS Chatbot configured clients

Uh oh…

After completing the configuration I was redirected back to a page in the console showing the channels this Chatbot can talk to and a brief overview of the SNS topics each channel is mapped to. My fear has come true, I need to set up SNS topics to monitor my resources. When these topics get messages, they then trigger AWS Chatbot to send a message to Slack.

I hope you’ll join me on this journey…

I navigate over to SNS and create a new topic, giving it a custom name and using the default settings:

Creating a new SNS topic with a custom name and default settings

Of course I created the topic in us-east-2 by accident and all my Lambda’s are in us-east-1. So we should create a topic in the correct region, then navigate to the Lambda console and setup a Dead Letter Queue (DLQ).

It’s not long before I realize my Lambda permissions need to be changed to allow it to publish to the new SNS topic…

Default lambda role does not have SNS permissions

This should be an easy fix, I will try adding the following policy to my role (sub in your topic ARN for more security):

    "Version": "2012-10-17",
    "Statement": [
            "Sid": "VisualEditor0",
            "Effect": "Allow",
            "Action": "sns:Publish",
            "Resource": "arn:aws:sns:us-east-1:*:*"

Phew, that was an easy fix!

After fixing the IAM role, our lambda can publish to our new SNS topic

Now we need to setup AWS Chatbot to listen on this new topic…and probably change some IAM permissions along the way. Let’s see…

Back in the AWS Chatbot configuration, I select my region and SNS topic from the drop down before clicking save

Nothing about permissions yet…let’s give this a test.

Now I could either cause the lambda to fail and test this integration, or I can manually publish a message to the topic and see what happens. So before trying to cause an error in the lambda, lets do the manual test.

We will navigate back to our SNS topic and publish a basic message:

Manually publishing a message to the SNS topic

I published the message but got nothing in Slack…not a good sign. Time to do some digging.

After some deep thinking, I realized that I created a private Slack channel and I was the only user in it…how would AWS publish to the channel? I did some research and learned I have to invite the AWS Chatbot to my channel in Slack like this /invite @aws.

Inviting the AWS User to the channel

Lets fire off another test and see what happens…

No luck.

I tried a few more things…played with access policies on SNS, played with IAM permissions…nothing did the trick. Before giving up, I decided I would try with a Cloudwatch Alarm publishing to the topic to see if I got different data.

Creating alarms can be done in the Cloudwatch console, below is a screenshot of the alarm I went with:

A Cloudwatch Alarm to report on Lambda errors

Cloudwatch Alarm Configurations

Once the alarm was configured, I just had to cause the Lambda to fail a few times and wait 1 minute…the results were worth it!

A successful alert in Slack from AWS Chatbot!


AWS Chatbot may be more valuable than SNS alerts that get sent to a Slack email address because of the pretty format. AWS Chatbot does not seem to work for all message types which can cause frustration when trying to test subscriptions. If you want to have Chatbot publish to a private channel, you need to invite the Chatbot app to your channel. It appears Chatbot works great with certain Cloudwatch alarms which makes sense since that is what the product is designed to do. I am excited to see this product mature, maybe even to the point where I can send a message back in Slack to act on alarms, but at this time don’t expect to implement it in production.

I hope you found this useful and I’d love to hear how you are using AWS Chatbot in the comments…thanks for reading!

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