Robotic Process Automation



Robotic Process Automation (RPA) is an application of technology, governed by business logic and structured inputs, aimed to automate business processes. Robotic automation uses a computer, also known as Robot, to run application software in the exact same way that a person works with that software.

Why RPA?

Organizations need to adopt technological innovation and consciously integrate Robotic Process Automation into operational business processes to remain profitable in the long run.

Why Now?

RPA is globally gaining interest due to the relatively low cost and ease of implementation. According to Forester Research 25%of tasks across every job category will be automated by 2019.

Cognitive Automation – Future of Robotic Process Automation Artificial intelligence (AI) can augment traditional RPA tools to do high-value, decision-making tasks, too. RPA together with cognitive technologies such as speech recognition, image processing, pattern recognition, contextual analyses, computer vision and natural language processing can imitate the way humans think – we call this Cognitive Automation.

Cognitive automation can understand unstructured data and use it to build relationships and create indices, tags, annotations, and other meta data.


Companies are constantly under pressure to address market drivers such as cost, customer expectations, growth, compliance and regulations etc. to stay competitive. They need to address these market drivers by evaluating process and service delivery through new operating models, technology, and process optimization.

Inspira partners with AlgonoX to provide End-to-end Automation anywhere. AlgonoX cognitive automation approach uses an interplay of enterprise grade RPA with sophisticated Artificial Intelligence, Machine Learning (ML) and Natural Language Processing (NLP) cognitive accelerators to equip businesses with an intelligent workforce. Custom RPA solutions enables businesses to perform ambiguous, unstructured and complex judgment-based work unleashing full automation potential with automation anywhere.

AlgonoX proprietary cognitive accelerators such as email parsing, document analytics, OCR enhancer etc. are applicable across different industry contexts.

Following potential benefits are expected to be realized over a period of time

  • Reduces operations cost and improves process performance.

  • Boosts productivity and reduces effort spent on repetitive tasks.

  • Increases service quality resulting in higher customer satisfaction.

  • Increases flexibility to accommodate volume fluctuations.


Traditional rule-based automation is mainstream today with widespread adoption across organizations of all shapes and sizes. However, rule-based automation is unable to provide the maximum benefits due to its inability to process unstructured data and perform judgment based tasks.

Our cognitive automation approach using sophisticated Artificial Intelligence, machine learning algorithms and natural language processing technology enables automation of complex judgment based tasks. These are applicable across different industry contexts and can be customized depending upon client requirements.

For traditional rule-based automation, we leverage our proficiency across leading RPA platforms like Automation Anywhere, UiPath, Intellibot, Blue Prism etc. which can orchestrate the end to end processes or workflows.

The cognitive automation approach has helped organizations in reducing 40% or more of manual work.


RPA solutions can be integrated with AlgonoX Cognitive Engine (ACE) to orchestrate a complete workflow delivering end-to-end automation for any client.

ACE is the most comprehensive solution available for automatic data capture from unstructured documents. Driven by configurable customer-specific business rules, automated data capture rate of 99%+ for electronic files and 70%+ for non-electronic files are typical with the solution. Available both on-premise and on-cloud, ACE is easy and cost-effective to deploy and maintain.

A unique data aggregation engine parses data from email body, email attachments and web portals, scanned images, spreadsheets, etc. eliminating manual capture of data.

A powerful Business Rules engine transforms data and does different validations.

This can help in freeing up 80% or more of your analyst’s time and minimize keying-in errors. Once the data is captured using ACE, it can be further processed and updated in any downstream systems such as ERP, Databases using robots.


  • AI-ML-NLP based parsing engines to extract data from scanned images, emails, websites, EDIs, xls etc.

  • Capable of processing a wide range of documents such as cheques, invoices, POs, contracts, Letter of Credit, 483, account opening forms etc.

  • Configurable Rule Engine, existing Library of 1000+ Business rules

  • Robots to update data to downstream systems such as ERP

  • Recommendation Engine.

  • Minimal to zero IT effort.

  • Implementation Timelines: 3-4 weeks.

  • 50+ out of the box reports for process monitoring and data analysis.


AlgonoX Universal Chatbot framework is based on the robust NLP engine which understands the entity and intents, over and above the standard FAQ based functionalities. It is very well integrated with ACE.

The underlying technology of document classification and analysis can help in contextual search on the knowledge repository of the organization.


Rich conversational experience: AlgonoX language rich NLP engine enriches the Chatbot conversational experience. The NLP engine is context-aware and is able to discern user queries through advanced free text analysis algorithms by creating ontology and taxonomy of a specific topic.

Orchestration of Chatbots with RPA and other custom APIs: Our Chatbots give a seamless integration and orchestration capability with leading RPA platforms and varied custom solutions through just API calls.

Live agent feedback: The Chatbot can route queries and exceptions to a human analyst or support staff depending on the conversation. The agents can thereafter, train the engine during the exception flow by capturing the appropriate responses and providing the feedback system.

User feedback: The Chatbot also provides the customer an option to provide live feedback to the bot responses thus, enabling the bot to become more intelligent through reinforcement learning.