Cognitive Process Automation

Cognitive Process Automation learns from observing Claims Adjusters and creates its own algorithms for approving or denying claims. If it isn’t sure what to do, it will ask your team for help, learn why, and then continue with the process as seamlessly as a human. This level of technology can even help Underwriting teams determine straightforward policy administration, Finance manage Accounts Payable, and Human Resources put on boarding and off boarding on autopilot.

HR Automation software reduces the time it takes to complete tasks-without sacrificing quality of work. Organisation use HRM to capture, store, secure and access information by:

  • Importing documents into a digital repository, whether they originate on paper or in a digital format.
  • Organizing them in the repository, where authorized employees can search for, retrieve and edit documents.
  • Keeping files in a standard format that can be easily shared across devices.
  • Making information simpler to locate during an audit or records request.

Human Resource Management Software provides you a wide range of modules that will streamline HR’s business functions. The HRMS software comprises self-onboarding, tracking attendance and leave, process payroll, loans, expenses management, remote employee monitoring, face detection, and tracking features. This is not the end of it; the human resource management software provides powerful AI-enabled chatbot and analytical options to manage the functions more productively.

In short, the product embraces every end-to-end process of HR to alleviate the burden of the organization’s shoulders. Study all the enlisted modules that efficiently manage your end-to-end HR functions.

Business process automation (BPA), also known as business automation or digital transformation, is the technology-enabled automation of complex business processes. It can streamline a business for simplicity, achieve digital transformation, increase service quality, improve service delivery or contain costs. It consists of integrating applications, restructuring labor resources and using software applications throughout the organization. Robotic process automation is an emerging field within BPA. A business process management system is quite different from BPA. However, it is possible to build automation on the back of a BPM implementation. The actual tools to achieve this vary, from writing custom application code to using specialist BPA tools. The advantages and disadvantages of this approach are inextricably linked – the BPM implementation provides an architecture for all processes in the business to be mapped, but this in itself delays the automation of individual processes and so benefits may be lost in the meantime.

Workflow automation refers to when you create and optimize a business processes to work with little human intervention. Workflow rules route tasks like lead nurturing and data entry to help eliminate manual work, boosting productivity and saving businesses time and money.

The benefits of workflow and process automation

Whether you’re an eCommerce store owner or marketing agency, workflow automation can bring the following benefits:

  • Boost efficiency: Task automation reduces human error and redundancies, which helps improve efficiency for your business.
  • Improve customer experience: With an automated process, you can give leads and customers the information they want quickly and easily.
  • Better resource allocation: Automation takes care of mundane tasks so teams can do higher-value work.
  • Gain Insight: You can gain deeper understanding into your processes and make better decisions with workflow automation software.
  • Less wasted time and resources: Workflow automation results in cost savings by getting rid of time-sucking tasks.
  • Increase Transparency Automation provides a clear understanding of how your process works who is responsible for what.
  • Improve scalability: You can’t scale a company with manual processes. Automation software can help manage increased workloads and sophisticated processes in your business.

Automating HR processes can save your HR staff a lot of time. Manually entering data to run HR processes manually can eat up a lot of valuable time that is better spent on more important tasks. Automation can also help ensure data accuracy. The more data is entered manually, the more margin for error. Human Resources (HR), along with many other departments, depends on document-driven processes to get work done. For example, employment contracts must be read and signed by new employees during the onboarding process. Here are some core HR functions that can be improved with automation: Employee records management. Retain employee records according to government regulations in the repository. Employee recruitment. Here’s a breakdown of how enterprise content management (ECM) software and automation help HR professionals work more efficiently, plus a list of seven core HR functions that can be automated. What is HR Automation? Enterprise content management (ECM) software reduces the time it takes to complete tasks—without sacrificing quality of work. Human Resources is a vital department in a company because it handles varied information that will help a company run smoother and better. Much of HR work is data and document-driven and the rise of technological processes means much of these HR responsibilities can now be automated freeing up HR talent to do more complicated tasks. A lot of processes in the HR departments can now be completed with the aid of software technologies. Shifting to software increases efficiency, accuracy, and time spent on most data work. The good thing is that it also doesn’t sacrifice on quality. Software such as an ECM helps the HR department import documents, organize them in a repository, keep the files in a standard format, archive records and make information simpler to locate during an audit or records request. Automation in HR gives numerous benefits to a business. By automating HR processes, HR employee time is freed up considerably for more worthwhile work and companies generally see their operations run far more efficiently as a result. Almost every repetitive job your HR team carries out can be automated. Business financing is needed to shift from manual to automated HR functions but the investment gives good returns and is worth it in the end. Recruitment may mean screening hundreds of applicants and is a laborious paperwork-intensive task that can take up most of the time of HR departments. Doing this manually means the risk of lost paperwork to contend with as the difficulties in managing employee access and training.

If you are going to implement a recruitment automation process your HR team will not veto deal with employee resumes, tax forms, personal data entry, and so on. Processing can be done in a matter of days as opposed to weeks and data is more accurate and error-free. Your employees will have to update their data from time to time. If you are a small company you would not have much of a problem with this, except when human error occurs. However, growing companies and bigger companies must think about automating this process as well. Keeping track of employees and their data can be nightmarish, especially if there is a large number of them. Automating data entry work will drastically reduce human errors and the amount of HR staff you need to take on this time-consuming task. Timesheet tracking and validation are a form of completely needless tasks that HR departments shouldn’t be carrying out in today’s world of advanced technology. Timesheet management and employees’ schedules can be handled mostly by an automated process. HR staff need only to involve themselves in helping employees with an issue in exceptional circumstances such as if there is a glitch in the system or some other issue.

A bot is typically a software application to do a specific task, often simple and repetitive. If you consider level of sophistication or intelligence as a benchmark of progress, the bots can vary from rudimentary desktop automation bots to highly sophisticated multi functional cognitive agents. With chatbots being somewhere in the middle end of the spectrum as a transitory technology. RDA Bots (Robotic Desktop automation)- Rudimentary screen scraping technologies, created as a bridge between current systems and incompatible legacy systems. Takes over the bulk of repetitive data entry or form-filling tasks from humans.

Example: A standalone desktop application or a client server/thin client system without any APIs or eternal connectors available that require a human agent to go through form fields on a screen. Typically use the XY coordinates on the desktop screen to retrieve the data and enter into another system (read newer technology with APIs available) – works with manual intervention. Prevalent technology since the 90s.

RPA Bots (Robotic Process Automation) – Desktop automation with added digital triggers or self-service (unattended), Deals with only structured data, predefined activity choreography to do the tasks repeatedly. Started becoming popular since early 2000s.

RDA and RPA function at a repetitive task level and value adds the enterprise in reducing the workload on the employees.

Chatbots

Chatbots are usually scripted decision trees where a set up tasks are completed in a top down flow with button clicks and filler sentences. Chatbot handles simple repetitive chats where the chatbot creator scripts user chat and bot responses.

CPA (Cognitive Process Automation)

Using AI to replace human intelligence/cognition-related work. Works with unstructured data along with natural language understanding and generation. Producing insights, analytics, and taking actions at or above human capability. Started Mid 2019

A RPA Bot works by recording the user’s action on the screen and repeats the same set of actions. I.e mimics human repetitive actions while Cognitive process Automation mimics the Human cognition. For simplicity, one can think of RPA as a software robot(bot) that mimics human actions, whereas CPA is concerned with the simulation of human intelligence by machines. Cognition refers to gaining knowledge and comprehension – cognitive processes include knowing, remembering, solving, etc encompassing language and perception.

Cognitive Process Automation: automates processes that require human cognition and the process of attaining this cognition is AI training. At a very fundamental level RPA is associated with doing and CPA is associated with thinking and learning,

Chatbots are transitory technology, since chat itself is a cognitive function, the current set of chat bots with scripted inputs and outputs will not be scalable to the next level of cognition due to the limitations of the intent classification systems deployed and the limited learnings on the user actions. Chatbots were relevant as a stop gap solution while complex cognition AI models were getting matured and giving rise to Multifunctional Cognitive Agents which are capable of Cognition with unstructured data (Voice / Text / Images / Video/PDFs/Xlsx/..), Structured data and Free Flowing conversations Multifunctional Cognitive Agents (NLPBots) are capable of functioning as fully cognitive business assistants at or above human capability.

The Art of Hr Process Automation not just a necessity; they’re an evolution

nlpbots, employee process automation, HR process automation

Remember the first two months of  joining an organization and being puzzled for half of the time.

Not knowing whom to interact with, everybody being busy in their own work.

What if you wanted to take a leave or simply know what the cafeteria menu is.

You have lots of questions in your mind. Imagine, if you have a dedicated personal assistant for Employee process automation  who could help you with everything you need. Also with things that you didn’t know you needed to know.

Same being with HR the challenges HR face

Processing leave requests through spreadsheets for hundreds of employees is a gargantuan task. HR has a lot of responsibilities – recruiting, employee onboarding,Payroll, training,and many more like these. Most of these tasks are repetitive in nature and require a massive amount of hours and labour. By  Automating HR functions, companies can save upto 20 percent.

NLPBots multifunctional cognitive agent are capable of functioning as fully cognitive business assistants above human capability.

HR workflow automation also helps to  eliminate the existing convolutions in business processes by transforming them into an automated structure. The approvals and requests that were once manually handled will be redesigned and executed effortlessly through automated workflows.

The rising demands for digitization have made Cognitive Automation for HR processes  the perfect solution for eliminating inefficiencies in the HR process. Using Cognitive Automation for HR processes to replace human intelligence/cognition related work. Works with unstructured data along with natural language understanding and generation. Producing insights, analytics, and taking actions at or above human capability.

These are some of the feature

  1. Varied use cases – Users can interact with NLPBOTS® to ask about company policy that          relates to them, leave and benefits information and much more. The system can be configured to offer personalized information depending on the user profile/level in the organization.
  • Omni-Channel – NLPBOTS® integrates with your website, mobile applications as well as collaborative or social platforms. Leverage the power of intelligent bots across Slack, Facebook, Skype, Telegram and more.
  • Transaction Management – Employees in any enterprise can now easily manage transactions related to HR. Leave applications, claim reimbursements, payroll process related actions, etc., are easily managed by the AI NLP powered system.\
  • High user engagement – Highly personalized and intuitive interactions make NLPBOTS® powered enterprise applications highly utility based, and focused on delivering value in terms of user delight in addition to process and cost efficiency. Customizable experiences across business functions make the system powerful for a wide range of users.
  • Intelligent Algorithms – NLPBOTS® powered Employee assistants have deep learning capabilities in addition to their NLP driven conversational abilities, that make them intelligent like no other. NLPBOTS® learn from every interaction across various functions and uses the learning to further personalize the overall experience for each user and/or function. For eg: if more users apply for a type of reimbursement or claim at a particular time of the month, the system will learn to prompt that facility to a particular profile of users over time.
  • Easy Integration – NLPBOTS® easily integrates with globally popular enterprise HR products such as HRMS, LMS, ATS, DMS, etc. This helps enterprises leverage user and process data to deliver highly focused experiences across their Automation initiatives. NLPBOTS® powerful algorithms work with both structured and unstructured data sources to deliver potent application experiences. Integrations via Web Services and APIs are available for the following products, with many more being added.

NLPBOTS boosts productivity by Automating HR Processes

Image Source: Google

22% increase in productivity

56% reduction in time spent by HR department in handling employee requests and queries

90% increase in employee engagement with HR

As we speak more and more enterprises are exceeding these metrics and creating employee centric workspaces, ensuring a less stressful environment for their employees. This is possible thanks to NLPBot Platform – the cognitive process automation platform on which you can create and deploy multifunctional cognitive agents (NLPBOTS).

Cognition – can be defined as the next stage of machine evolution. We had early stages of machine evolution where thanks to the steam engine we were able to transfer our physical might to the machines. Over time thanks to the steam engines and locomotives the world literally shrunk as people and goods could be transported across continents easily and people were able to produce to meet that market. With the invention of the IC engine and energy forms like electricity we were able to control these machines quite well and that heralded the era of personal locomotives, radio, and a lot of industries started catering to the masses and as we got really cosy it practically ignited 2 world wars!

The third post war machine evolution happened when we made machines that could compute and control other machines (computers)  and again we transferred our computational abilities to these machines. In all the above cases of machine evolution we notice one unique reality. The machines did a much better job than humans – they had more physical power, precise control and amazing computational ability.

Which brings us to cognition – the ability of machines to make their own decisions. Given enough historical data and evidence and also outcomes (tags) the machines are able to determine to a very high extent the best course of action. This is applicable across every aspect of our lives. Today I am going to discuss how this power of cognition – the ability to understand data and take appropriate action is revolutionising the HR Tech space.

Take any employee in an organisation – Alex may be performing a particular function and will be part of a department that has certain goals. For example: Alex may be an account manager in the sales department that has the goal of generating more business from existing clients. To fulfill her responsibilities she will need access to enterprise resources and other departments including Human resources (to ensure that her personal needs are met and grievances addressed), Customer Relationship Management (to update her efforts and view progress), Enterprise Resource Planning (to ensure that she will have all the resources to provide the service or product to the customer), LMS (to ensure that her learning is updated) and a whole lot of other systems that are needed for her to fulfill her responsibilities.

Machines with cognition can go a long way in ensuring that most of the employees’ (Alex’s) needs are met, empowering her to achieve her goals and thereby make their department and hence the enterprise more productive.

Within HR process automation a lot can be automated off the bat. When you deploy a multifunctional cognitive agent like NLPBots for ZEmployee centric process automation you can automate several processes that are needed for the employees. The Cognitive process automation platform can help employees like Alex check for updates, remind on tasks, apply for leaves, reimbursements, claims, etc. It can also promt you (if you a manager) if ther are approvals pending. It can provide information that it has been trained on i.e. policies, SOP’s etc. The system can be trained to understand the input in multiple languages from multiple sources. It can then pull (status, counts, etc) data from any database connected as part of a workflow. A workflow is a set of tasks in a sequence to accomplish an activity or function. Employees can also push data using API’s onto the database as part of a workflow. Apart from this entire document sets, videos, etc can be directly fed to the CPA platform for training. These cognitive processes need not be only linked to the HR automation. It can extend into other areas like Learning management, ERPs, CRM, gatekeeping, etc by adding more workflows and connecting to other systems.

So you can see how when the NLPBots are trained and deployed they save a lot of time for the employees like aAlex by enabling them to access the HR department very easily across their platform of choice i.e MS Teams, Slack, Hangouts, etc and perform translations i.e. check leave status, balance, claim status, complaint status, etc and actually apply for leave, claims, etc. Apart from actually getting help from anywhere at any time automatically they can also get notifications, prompts, and suggestions to optimise ther effectiveness at work. Over a period of time when the NLPBots starts performing more activities for the employees they can get real smart and provide amazing insights to the enterprise as well.

Watch this space to see how the Multifunctional cognitive agents (NLPbots) are able to create huge value for enterprises by automating several tasks on behalf of humans and learn from each transaction to make the enterprise super efficient.

Era of the Bots

In enterprise conversations of 2020 inevitably one would come across bots in various contexts. References to Chat Bots, RPA bots, CPA bots and next gen Multi Functional Cognitive Agents will be sprinkled across conversations involving enterprise productivity, efficiency, automation and user experience. What are these bots?, How are they different? what does the future hold for the bots as well as the enterprise?

A bot is typically a software application to do a specific task, often simple and repetitive. If you consider level of sophistication or intelligence as a benchmark of progress, the bots can vary from rudimentary desktop automation bots to highly sophisticated multi functional cognitive agents. With chatbots being somewhere in the middle end of the spectrum as a transitory technology.

The image below shows some of the common technologies and automation terminologies in chronological order

RDA Bots (Robotic Desktop automation)- Rudimentary screen scraping technologies, created as a bridge between current systems and incompatible legacy systems. Takes over the bulk of repetitive data entry or form-filling tasks from humans.

E.g A standalone desktop application or a client server/thin client system without any APIs or eternal connectors available that require a human agent to go through form fields on a screen. Typically use the XY coordinates on the desktop screen to retrieve the data and enter into another system (read newer technology with APIs available) – works with manual intervention. Prevalent technology since the 90s.

RPA Bots (Robotic Process Automation) – Desktop automation with added digital triggers or self-service (unattended), Deals with only structured data, predefined activity choreography to do the tasks repeatedly. Started becoming popular since early 2000s

RDA and RPA function at a repetitive task level and value adds the enterprise in reducing the workload on the employees.

Chatbots

Chatbots are usually scripted decision trees where a set up tasks are completed in a top down flow with button clicks and filler sentences. Chatbot handles simple repetitive chats where the chatbot creator scripts user chat and bot responses.

CPA (Cognitive Process Automation)

Using AI to replace human intelligence/cognition related work. Works with unstructured data along with natural language understanding and generation. Producing insights, analytics, and taking actions at or above human capability. Started Mid 2019

A RPA Bot works by recording the user’s action on the screen and repeats the same set of actions. I.e mimics human repetitive actions while Cognitive process Automation mimics the Human cognition. For simplicity, one can think of RPA as a software robot(bot) that mimics human actions, whereas CPA is concerned with the simulation of human intelligence by machines. Cognition refers to gaining knowledge and comprehension – cognitive processes include knowing, remembering, solving, etc encompassing language and perception.

Cognitive process Automation automates processes that require human cognition and the process of attaining this cognition is AI training. At a very fundamental level RPA is associated with doing and CPA is associated with thinking and learning,

Chatbots are transitory technology, since chat itself is a cognitive function, the current set of chat bots with scripted inputs and outputs will not be scalable to the next level of cognition due to the limitations of the intent classification systems deployed and the limited learnings on the user actions. Chatbots were relevant as a stop gap solution while complex cognition AI models were getting matured and giving rise to Multifunctional Cognitive Agents which are capable of Cognition with unstructured data (Voice / Text / Images / Video/PDFs/Xlsx/..), Structured data and Free Flowing conversations

Multifunctional Cognitive Agents (NLPBots) are capable of functioning as fully cognitive business assistants at or above human capability.

I.e for the first time in human history there is a competition to humans from Multi functional cognitive agents for a place in the enterprise workforce. Multifunctional Cognitive Agents – NLPBots uses various cognitive capabilities (reading Unstructured text, structured data, scanned documents and pictures, videos etc.)  to perform various tasks as part of the enterprise workforce. Just like training a new employee one can add various data sources to NLPBots platform and create Multifunctional Cognitive Agents – As an example, NLPBots inducted into the enterprise as a receptionist recognizing and welcoming people, checking their documentation, booking appointments, etc. (It involves face recognition and identification, document scanning and data extraction and validation, conversations to complete a task, etc.. ),  or NLPBots could be trained to generate reports like an analyst from available data. Or It could be for welcoming customers and solving their problems. It could be an NLPBot in AIOps, ITSM, Employee Engagement, or something else altogether. When there are various cognitive capabilities like reading Unstructured text, scanned documents, pictures and videos, coupled with the ability to train a limited amount of data on the platform to create new AI Models creates immense opportunities for Multifunctional cognitive agents in the enterprise workforce of today and tomorrow.