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Hey people!


We are about to launch a private beta of our platform called Bitskout. It allows to add AI capabilities without code to monday.com (more services to come). Using AI allows you to make decision based on context which in turn makes teams more productive and avoid waste of time.


You can create models via UI for images, videos, text and build your workflows based on selected parameters (e.g. text sentiment, key phrases, topics, image labels, image contents). There is a small extra - for each task which is approved by a workflow, the user gets a token allowing managers create reward schemes, convert them into existing point systems, run campaigns and etc.


Models then can be used a part of a workflow that is assigned per each task. Some use cases:



  • check the text sentiment to move draft article/PR to different groups for review

  • check image vs previous image to document equipment state

  • check automatically assess home damages to route to appropriate board for analysis

  • check that design templates have all the necessary buttons and text

  • check “before/after” picture to validates someones physical work (including location check).


If you are interested, please DM me and I will add you to private beta list. Otherwise, send your comments, we would really appreciate it.


Here is an example where my co-founder added a workflow to check sign-in page design templates to have necessary items like email, password, forgot password fields to avoid manual double checking. It is quite simple case for us but think about it in a span of larger team or organization. This tiny workflow saved us hours of unnecessary checks and sync ups + I got my token reward - in our team 1 token = 1 Fazer candy !




Thanks for any feedback!

Cheers,

Ilia

And as an addition to the above use case, here is how Bitskout example based A.I. works:


If you ever tried to extract something special like a date from a sample text, you know that it is super difficult to do with any automation (like using REGEX, etc.). In this example I wanted to show just how simple and user friendly (obviously, more UI work is required) it is - just give some examples and done.


Hello, champions!


I wanted to share another case study video where we use the process automations based on queues. This time we’ve automated the travel agency trip requests. Compared to Invoices Queue, in this case, we don’t replace a human, we are accelerating the processing speed to get to the next step 10x faster (e.g. boost response time).


Key highlights:



  • the queue works to simplify human work

  • Bitskout is analyzing emails and extracts data about trips to board fields

  • Make(Integromat) is used to convert extracted data into nice sub-items

  • The second queue step is triggering the booking system (our customer has their own system) and generating a PDF doc with a quotation.

  • The third step is triggered when the client accepts the trip (Bitskout detects acceptance/rejection message)

  • If there are any errors, the task status is changed to Review Required.


Next updates to the setup are: using Location Columns to analyze where most of the requests go; building a dashboard with Accepted/Rejected/Paid trips, Hotel/Flight combinations, most demanded combinations, etc.


Again, this queue setup can work without any automations and still simplify a lot of processes. But the automations, and especially the possibility to analyze emails written by humans is the key to a productivity boost.


Feel free to ask any questions!


A short demo of Travel & Other expense processing done in monday.com with Make - allows you to build a simple form for employees to submit the expenses (or contractors submit their expense) and automatically process them:



Hey everyone!


We are getting lots of questions about business cards - so, yes, you can use Bitskout to extract information from Business Cards to monday.com fields:



If you are in marketing, then you probably know what is HARO. And you also know that it is super difficult to read 100 questions everyday two times. With help of Make we’ve create a simple automation that processes HARO emails and extract all required information and create a task per question with keywords to help you quickly filter what you need before reading. It is also a great source of trends:



Hey everyone!


We’ve just rolled out a major UI update that will introduce a Templates Library. This is a super important update as it will allow you to use plugins like CV parsing or Business cards via template in one click without any extra setup.


Also if you create your own plugins, you can save them as template for your team or customers (for partners). This is the first step for converting a knowledge into a digital form.



Hi there!


Hope you had a great holidays! 2023 looks like a year where we will all need extra energy.


To demonstrate how you can leverage any resource you can to grow your business, I’ve recorded a short video how you can use several automations and create a real-time leads dashboard from Business cards.


As a bonus, I’ve included a small example with openAI GPT-3 where you can receive a list of topics to discuss with a prospect in real-time based on their category and your value prop. Our blog article contains all the templates included the monday.com one.



The next use case with all the templates and scenarios is related to recruitment processes.


If you hire people and use monday.com to manage this process, you can build something truly powerful. By automating data extraction from CV or resume PDFs and then adding custom categories, you can be 10x faster than anyone else.


Full article can be found here.


Here is a full how to video:


Hey there!


If you work in marketing, then you know how important and impactful the journalist relationships are. To help you nail those, we’ve built a cool use case called Press Monitoring dashboard.


It allows you to monitor incoming HARO Queries and automatically analyse them for topics and keywords. This way you can build the following dashboard.


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Here is the full video. Check our template for HARO message parsing that contains the scenario blueprint:


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