Over the past few years, we have seen tremendous advances in machine learning (ML) and artificial intelligence (AI). Rooted in these inspiring technologies is the idea of robotic process automation (RPA), the possibility of automating routine and mundane tasks with software robots capable of interacting with traditional software systems in the same way as human operators would.

Enterprise executives are attracted by the numerous benefits of RPA, which include significant cost savings and productivity improvements, but they are often left wondering how to best adopt RPA to drive long-term growth.

At SARCI, we introduce a simple 3-step adoption model for creating an automation-centric enterprise, where intelligent automation spans across physical infrastructure, business management software, operations management, analytics as visualized below. When an enterprise successfully reaches the last step of our model, the enterprise is ready to transition into a more agile-and data-oriented model of operation and fully reap all the benefits of RPA.

The Three Layers of Process Automation

Records-source of all data & basic layer of automation.

Records are continuously created, exchanged & updated within a business. Challenges arise when siloes keep these information in ways that are not inter-linked with each other. The first layer of automation

Knowledge-what helps to run the business

The knowledge workers of a business pull data from different sources & apply their knowledge on it to derive meaningful summary. Examples include excel sheets for purchasing plans, calculating sales profit or tax-payables etc.

This work knowledge is generally never captured formally in a way that can be replayed. Furthermore, the worker very likely spends 80% of the time in cleaning & collating the data.

The second layer of automation.

Analysis-a guide to improve the business Process Analytics for Continuous Improvement

Process & Data are inter-twined. While the Data can only tell the status, it is the Process that shows where the improvement can be made.

Simple areas

Leverage roll-up reports & statistical models to visualize trends & take corrective actions.

SARCI Automation Solutions

Transactional Automationis used for the clean capture of business data, validation, evaluation and its storage.

Linkages for ready to use Business Workflows with configured industry standard rules for governance, budgetary control, procurement process, sales & client service, finance and other standard functions ensure a strong foundation

Add-on features such as automated handling of paper/email & linkage to various process ensure that the records are kept in a consistent manner for further processing (e.g. application forms, paper invoice)

Job Intelligence Automation

captures the repetitive parts of the back-office work process and d

Cognitive Automation-The third & predictive layer of automation.

Correlate data gathered from multiple sources to provide one consistent status view with comparative predictive models

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