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Business Process Automation

Customized solutions to increase productivity of your business by better utilization of resources and lowering costs.

Highly volatile economy, extreme competition and the impact of technology is forcing business owners to make changes in their workflow to stay relevant in the market.Business process automation is a strategy that leverages modern technology to improve the efficiency and productivity of your business.

How can we help?

We help business owners achieve growth in business productivity and revenue generation by providing consultancy and specific tailor made software solutions to improve the process efficiency.

Analysis of existing processes

We analyze your existing business process and identify areas of improvement, such as:

Identifying areas of bottleneck in the process

Identifying areas where process automation will reduce human error and decrease process time

Identifying products/solutions and vendors that can help form a better solution

Identifying the level of improvement and increase in value of the business that can be gained through BPM

Implementation of Automation

We model a customized application based on our analysis after reviews and corrections, the application is developed and implemented according to the model, which increases your companies capabilities to generate more revenue and business, while avoiding the bottlenecks and human errors that affect quality and process time. The model also leaves room for identifying, collecting and implementing evolving requirements or adjustments (user stories and artifacts) for future implementation.

Post implementation monitoring and support

We monitor our implementation of automation and hold meetings with the stakeholders to verify and gauge the level of improvement in their business post-implementation. We iron out oversights and performance tweaks and encourage feedback from end users. The feedback from end users and stake holders are collected and held in a business repository for implementation as the business grows and matures.

RPA / Automation Targets

Business Process Automation

Adoption of RPA is a perfect fit, keeping these targets in mind, because

Average cost of implementing and running a Robot decreases with large-scale deployment and is less than equivalent Full-Time-Equivalent cost.

Speed of a Robot is 2-3X that of a human for repetitive tasks

A Robot can work 24x7 without fatigue

Once properly trained, a Robot can work with 100% accuracy

Robots do not suffer from human errors, and thus saves the cost of correction

It is easier to scale up and down a Robot deployment than a human workforce

Using the Robots to efficiently and speedily perform the repetitive and automateable tasks mean that human workforce can be retrained for purely decision making rules

Some of the Key Performance Indicators that show the successful implementation of RPA are –

Business Process Automation

Challenges solved by Automation

Business Process Automation

Implementation of Automation

When harnessed properly, automation offers tremendous opportunities, but requires careful planning and execution to reap the benefits.

A combination of domain knowledge, technology, governance structure and process expertise is essential for optimal and effective implementation of automation.

The process of RPA deployment would consist of the following steps –

Business Process Automation

Step 1: Identification

An important step in automation is to determine which business processes would yield the highest returns when automated. Generally speaking, there are 3 process types that are good candidates for automation –

    1. Processes involving data entry

    2. Processes involving data extraction

    3. Processes involving routine and repeatative tasks with basic decision making

To identify processes that can be automated, we can use the following criteria as a guiding rule –

Business Process Automation

Step 2: Setting Goals

One of the biggest challenges in implementation of automation is the time taken for ROI and overcoming the hurdles involved in automating.

Some common hurdles faced are –

Enterprises dealing with processes which have high complexity

Automating processes with high exception rates

Enterprises needing to conform to regulatory requirements

Enterprises dealing with non structured/non digitized legacy data

RPA tools cost and implementation cost reduce with increase in volume, and thus needs a minimum volume to start being efficient and returning gains

All these factors can increase the development time, and also decrease the amount of automation that can be achieved within an organization.

Goals, expectations and suitability of automation should be driven by the consideration of these factors. Centralized tools can be used to monitor the performance and return being yielded over time to drive further decisions.

Step 3: Setting Goals

A governance structure, like the rudder of a ship helps ‘drive’ automation in the correct direction and achieve quantifiable benefits within a set period of time.

The most important elements are -

    1. Defining roles and responsabilities in automation activities

    2. Setting deadlines in achieving automation, one small step at a time

    3. Setting general guidelines and standards for designing/developing/deploying robots

    4. Tracking performance and productivity

    5. Involving other departments such as IT/Risk/legal/others who are involved in the process

    6. Involving subject matter experts on processes with nuances

    7. Calibrate development and production environment, and maintain data security

    8. Maintain human ‘safety valves’ for regularly checking critical processes for error free delivery

    9. Create response team for clearing backlogs and mitigating risks in case of robot failure

    10. Involve HR into employee training for upskilling so that employees work along with automation to bring greater productivity

    11. Ensure transparency /clarity and communication between dependent departments like IT

Step 4: Choosing Appropriate Tools

Organizations should evaluate tools with pre-built automation libraries that have re-usable components to connect to back-end systems, data-extraction capabilities, and cost and licensing options.

There are a few leading players in the market, with the top 3 being –

Blue Prism

Automation Anywhere

UIPath

Each of these tools has pros and cons and suitability of one of these platforms, or a combination of platforms, vary based on the use case.

Therefore it is essential to understand the pro’s and con’s of the various available tools and ‘use the right tool for the right job’.

Step 5: Reengineering & Optimization Tools

Identification of bottlenecks and regineering processes to make them optimal and more suitable for automation is an important part of automation implementation.

Inefficient processes with critical dependency on other processes or processes, which are not standardized and have high exception rates, would not generate the desired outcome. Therefore it is important to attempt to re-engineer these processes to make them more suitable for automation, or identify them as not good candidates for automation.

Step 6: Business and IT Collaboration

Implementation of automation often fails because of lack of collaboration between Business and IT functions.

Automation is heavily dependent on IT support in structuring of data and business processes. It is equally dependent on the business’s viewpoint, domain knowledge, subject matter expertise, and in turn the nuances of business processes that need to be maintained to keep it usable. Automation should be a combined effort between the business and IT with an operating model that defines the roles and responsibilities of each player.

While the function needs to own the operational requirements, process design initiatives, and performance monitoring, aspects such as reliability, risk management, technological compatibility, identity and access control, and compliance are for the IT organization to deliver.

Automation Beyond RPA

While the benefits of RPA might be many, businesses need a well-designed strategy to pivot from boardroom conversations to actual success. Directed systematically, RPA adoption is paving the way to achieving the cost and operational efficiencies desired by most organizations.

Businesses can also benefit from augmenting their business processes using other automation techniques or specialized software, apart from just RPA robots.

Automation With AI

AI can be used to augment and overcome some shortcomings of AI such as non linear decision making and capability to handle ‘exceptions to rules’ to offer more flexibility to an automated process and reduce the requirement of manual intervention. Apart from this obvious use, AI can be further explored to augment automated processes for which some ideas could be –

Businesses can also benefit from augmenting their business processes using other automation techniques or specialized software, apart from just RPA robots.

    1. Analyzing data to give insights to PR professionals or Customer Support

    2. Provide personalized info to the customers as a part of post purchase service to the customers

    3. Make personalized product recommendations to clients by sensing personality, tone, emotion and usage habbits of customers

    4. Having engaging automated conversations using chatbots to provide info or provide support to automatically answer questions, recommend products and take workload off of the regular workforce

AI can be seen as a way to offload mundane tasks to a robot, so that human minds can be used to its full potential in doing creative and original work, without being stuck wasting time in sorting, organizing, responding and reporting.

Automation With IOT

The primary drive for automation IoT is to significantly reduce operating expenditures when automation devices, sensors and actuators become Internet-enabled devices. It’s the next huge leap in productivity because there are major advantages to be derived from the acquisition and organization of previously unthinkable amounts of data. New Enterprise Manufacturing Intelligence software (EMI) brings manufacturing-related data together from many sources for reporting, analysis, visual summaries and passing data between enterprise-level and plant-floor systems.

We are currently working on a IoT project which is a collaboration between an Indian DTH Television provider and Over The Top media distributor, to create a universal Android based receiver box, to act both as the set top box for watching TV/Recording shows, as well as access specialized apps to watch movies/shows/videos on demand, in free, freemium (free with ads), subscription as well as pay-per-view model, with focus towards understanding user’s viewing habbits and procuring and providing content that users want to see.

We have outlined some generic ideas and basic methods of implementation of RPA/Automation. We can have a further, more specific discussion after we have more information about your roadmaps, views, pain points and current status of implementation.

We would love to hear about your project.

Contact us for a free consultation and quote.

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