Automate the Universe Challenge #2

Challenge Statement:

In our organization, we struggle with managing and coordinating schedules for meetings and events across multiple teams and departments. This manual process often leads to scheduling conflicts, wasted time, and missed opportunities for collaboration.

Solution Statement:

Automation Anywhere can streamline our scheduling process by developing a bot that integrates with our calendar systems and communication platforms. This bot can analyze participants' availability, suggest optimal meeting times based on predefined criteria, and automatically send out invitations and reminders. Additionally, it can monitor responses, handle rescheduling requests, and update calendars in real-time to ensure everyone is informed and aligned. By automating the scheduling workflow, we can eliminate conflicts, save time, and improve overall productivity and collaboration within the organization.

Hey,

Challenge Statement:
Each company maintains a Talent Acquisition department responsible for recruiting experienced candidates based on job descriptions provided by third parties. The hiring team typically consults with the technical department to determine the specific candidate profile outlined in the job description. However, if the technical team is unavailable or preoccupied with other tasks, the hiring process may be delayed. Such delays can result in a tarnished reputation with third-party clients and, in severe cases, could jeopardize potential deals.

Solution Statement:
With the help of Gen AI, Automation can reduce the time taken to categorize potential candidates and fast track the hiring process.
A BOT which goes by the name, “TalentSpotter”:

• The first step involves filling out a form where essential details such as designation, years of experience, base location, and salary are required.( Which will be done by the one who triggers the BOT)
• Upon receiving the input, the BOT will proceed to log in to the recruitment portal/application and initiate a candidate search based on the provided input.
• The BOT will retrieve essential information from the portal/application, including but not limited to: name, contact details, skills, profile description, years of experience, base location, and then populate it into an Excel sheet/Google Sheet/database, or any other designated source.

The traditional automation mentioned above might be what comes to mind for most people. However, to further streamline the hiring team's workflow, we can enhance it by integrating GenAI.

• Once the data scraping is completed, the BOT will review the available job description (JD) and compare it with the candidates extracted from the portal/application. It will then determine which candidate is the most suitable match for this JD and set a flag accordingly (for example, setting TRUE if the profile is deemed suitable).
• This process will assist the hiring team in narrowing down the selection from the pool of available candidates, enabling them to proceed with the next steps more effectively.

The integration with GenAI mentioned above will expedite the hiring process for the team, reducing reliance on the technical team.

To enhance the solution further, we could implement a flag on the output source indicating the suitability of profiles. Candidates meeting the criteria would then be sent a form to select upcoming dates for a technical round interview. Upon selecting a date, a Google Calendar invitation would be shared with the candidate and the technical team, further streamlining the process. Just a thought, need to make it foolproof.

This solution will be a lifesaver for the hiring team, greatly simplifying and accelerating both the hiring and technical round scheduling processes


I'd love to hear your thoughts on the problem statement and the proposed solution. What are your impressions?

@rbkadiyam Do you see any opportunities to incorporate Gen AI? 

@Ganesh Bhat I would love to see this in action - could you share a quick demo? 

@ChanduMohammad I wish the stand-up concept was universal across all areas of business—it can be so effective when done right! I am curious why you went the email notes route instead of having some type of live project board that was continuously updated based on the meeting. 

@Zaid Chougle This topic is very timely, and one thing I have repeatedly heard is that the job process feels impersonal. Any thoughts on how you could infuse that human touch? 

@Tamil Arasu10 As one of our known product experts, what newly released products/features would help optimize this process? 

PS - your badges have all been awarded! Thank you so much for starting the idea train for this challenge. 🚂 

Hi @allison.able 

It depends on Org, have mentioned continuously adding issues in SDLC tools like Jira

Additionally, bot can create issues in Jira or preferred SDLC tools

Problem Statement: 

We had to automate the initiation of a process whenever an end-user wanted to test a file, especially when they lacked access to the AA control room to manually start the process each time.

Proposed Solution:
To address this, we have implemented triggers that are capable of handling such scenarios. We have designated a specific folder location for end-users to place their files. Whenever a file is deposited into this folder, the automation process is automatically deployed.

Additional Request:
We aim to refine our solution by incorporating user authorization and privilege checks. Ideally, we want the automation process to only be triggered when the user possesses the necessary privileges to test the file. If a user attempts to test a file for which they lack privileges, the automation process should not be triggered. However, we are facing challenges in achieving this goal.

Restrictions:
We cannot rely on multiple folder locations to segregate users with different privileges, as managing numerous folders would be impractical. Although extracting the username attempting to test the file from its properties would be beneficial, it appears that Automation Anywhere lacks a command to facilitate this functionality.

Challenge Statement: I currently work as a Solutions Architect for a company that is in a different time zone. We also have customers in several different time zones, as well as offshore teams in IST zone. By the time I login each morning many customers are already 3 hours into their day. I have some other customers and offshore resources that are more active at night after I have logged off. The first hour of my day is spent going through email to review what may have come in before I start work, prioritizing by urgency, and then responding accordingly. Some days I start the day with several dozen emails waiting, and the fear is always present that I'll be slow in responding to a higher priority message just because it is further down the list.

Solution Statement: The Automation Success Platform’s ability to utilize Generative AI and Sentiment Analysis make this issue easy to overcome. I already have a mechanism in place to catch any critical or work-stoppage issues my customers may face so I can jump on those immediately. We can improve upon this by creating automation to read through an inbox shortly before I jump on in the morning, use sentiment analysis to help prioritize the emails based on what is being asked, and then provide me with a two or three sentence summary of each, ordered by criticality. Reviewing this list first thing each morning would allow me to respond more rapidly to any issues that need to be addressed before moving on to questions or informational emails.

Hey @J.Logan , 

This is such an impressive use of technology to tackle your daily email overload!  Have you already started testing any parts of this automation process?

Idea1:

Challenge Statement:

In the airline industry, a common challenge we face is with Passenger Name Records (PNRs). Discrepancies in PNRs are frequently encountered. Common discrepancies include name misspellings, duplicate bookings, incorrect itineraries, seat assignment issues, flight changes and cancellations, ticketing errors, and more.

Solution Statement:

Using Automation Anywhere, we will log into client applications to retrieve PNR details. By implementing multiple conditions, we will identify discrepancies in the PNRs and generate a report in Excel format. This report will then be sent to the client via email.

Idea2:

Challenge Statement:

The challenging task for the airline industry is to read feedback emails and determine the main reason behind the message. This could involve identifying whether the traveler is satisfied with the service, lodging a complaint about lost baggage, requesting special assistance, seeking a refund, or expressing other concerns. Based on the purpose of the received email, appropriate responses need to be sent.

Solution Statement:

Using an automation solution, with the integration of ChatGPT, we can provide the mail body content as input to ChatGPT and ask GPT to determine the reason behind the email. Based on the message received, we can instruct GPT to create a reply mail template, which we can extract reply message from GPT and send it back to customer.

Challenge Statement:

Out bots use a list of email addresses to send the results of the bots to different users located in different divisions. The development team doesn’t always know when these users leave the business. Therefore, the bot's dedicated email account will continue to receive bounce back emails from those users’ accounts. The team does not monitor this account.

Solution Statement:

Using Automation Anywhere we can create a bot which can monitor the bot’s email account on a daily basis. The bot will send an email message to members of the team with a list of names, the bot that sent the email, and email addresses of people whose email address is no longer valid. Based on this list, the team members can remove old users from the different lists of emails used to send bot results.

Sorry for my late response as I was on my annual leave:

Challenge Statement:
In our customer support department, handling inquiries and support tickets involves many repetitive tasks. Support agents spend a lot of time categorizing, routing, and responding to common inquiries, leading to delays, inconsistencies, and a backlog of unresolved tickets. The high volume of tickets also makes it challenging to maintain accuracy and ensure timely resolutions.

Solution Statement:
Automation Anywhere can enhance our customer support operations by automating the handling of support tickets and common inquiries. We can leverage Robotic Process Automation (RPA) to enable bots to complete mandated tasks fully end-to-end. Here’s how:

• Automated Ticket Categorization: Using NLP capabilities, bots can automatically read and categorize incoming support tickets, ensuring they reach the right agent quickly.
• Intelligent Routing: Bots can route tickets to the most suitable support agent based on expertise, workload, and priority, reducing response times.
• Automated Responses: For common inquiries, bots can provide instant automated responses using pre-defined templates, while more complex issues receive acknowledgment and an estimated response time.
• Status Updates and Follow-ups: Bots can send status updates to customers and trigger follow-up actions for unresolved tickets, ensuring timely attention.
• Data Analysis and Reporting: Bots can generate reports on ticket volumes, response times, and customer satisfaction, providing insights for further improvements.
• End-to-End Task Completion: RPA allows bots to handle the entire process from ticket receipt to resolution, including updating CRM systems, closing tickets, and notifying customers, thus ensuring a seamless workflow without human intervention.

Benefits:

Improved Efficiency: Freeing up agents to focus on complex issues.
Consistent Quality: Providing accurate and consistent information.
Enhanced Customer Satisfaction: Faster responses and proactive updates.
Scalability: Handling higher volumes without increasing headcount.
Actionable Insights: Identifying trends and optimizing processes.
Seamless Automation: Achieving full automation of mandated tasks for end-to-end process efficiency.

Automated Report - excel as answer to everything

Challenge statement: A few years ago I was working in a company and we started a transformation journey, that had an impact on our service (it was a nice challenge, because at that time I didn’t think on the big picture and that situation helped me to realize the importance of provide accurate information).

We were requested to provide some metrics about the bots’ execution, even thought we were collecting some numbers (# errors,# rows processed ok, etc.) taking into consideration the business requirements.

The board needed to see the impact of RPA in our company, as we just had 4 bots running in production at that time, we created an excel file and we completed manually the data, and we add some charts to communicate the numbers.

The problem was when we weren’t able to update the information and they needed to access.

So we needed an automated report

Solution statement: the solution provided was to create a bot that complete an excel file with data related to each execution. That excel file was going to be taken as input for a power bi report that the board shown every month. 

The bot was called as subtask on each bot execution(we already had the information to complete that file, so to include the subtask on each bot wasn’t to much work), and as it wasn’t more than 50 lines the development time was too small.

The impact of this small development was huge because it helped us to provide to the board the information they needed to show, and it helped us releasing our RPA team from update the information on that file.

 

Happy to continue improving my skills doing everyone’ jobs less complicated.

Excel as answer to everything 🤣

Hi All, 
Currently i was working on this where our finance department was fasing some issue
Problem statement:

In the Finance department (AP), processing invoices is a repetitive and time-consuming task that consumes a significant amount of time. The current manual process involves receiving invoices via email, extracting relevant data, entering the data into the accounting system, and verifying the information for accuracy. This manual handling leads to several challenges:

High risk of human error in data entry

Difficulty in maintaining compliance with regulatory requirements

Solution Statement:

I propose implementing using Automation Anywhere to streamline the entire invoice processing workflow. The proposed solution includes the following steps: Automated Email Handling: Use bots to monitor the Accounts Payable email inbox and automatically download incoming invoices. Data Extraction: Employ optical character recognition (OCR) technology to extract key data (such as invoice number, date, vendor details, and amounts) from the invoices. Data Validation: Create a bot to validate the extracted data against purchase orders and other relevant documents to ensure accuracy and compliance. Data Entry: Automatically input the validated data into the accounting system. Error Handling and Notifications: Develop a bot to handle errors by flagging discrepancies and notifying relevant personnel for review. Reporting and Compliance: Generate automated reports to ensure compliance with regulatory requirements and provide insights into the invoice processing workflow.