Information Technology has remained the superhighway for more than half a century in accelerating the business. Organizations today are now embracing the new wave of technologies like IoT, cognitive computing, and task-level Robotic Process Automation (RPA) to overcome challenges like reducing Total Cost of Ownership (TCO), increasing workforce efficiency, reducing human error and so on. RPA improves operational efficiency by completing tedious, repetitive digital tasks using a software agent called a “robot” or “bot.” Each robot operates at a lower cost and performs the required series of steps with higher speed and accuracy than a human. Repetitive manual tasks that involve the application of business rules are prime targets for RPA.
We introduce RPA as three different streams in our customer organizations:
Software that can operate more dynamically, making decisions autonomously when variances are encountered.
- Smart API’s
- NLP Systems
- Autonomic Automation
- AI Engines
Executing highly dynamic, non-rule-based process, making optimal adjustments when environment changes.
- Decision Support Systems
- Machine Learning
- Sentiment Analysis
Corresponds with software that replicates repetitive, rules-based human actions
- Data Collection – Surveys, Polls
- Data Validation
- Speech to Text Conversions