What Makes Iris Different

Ever-increasing customer expectations push organizations to find faster and better ways to serve, compelling newer technologies and approaches. Automation enables enterprises to mechanize redundant, mundane business processes, allowing them to become more agile and competitive. Iris Automation practice expedites digital transformation and customer-centric workflows by supporting Data Analytics and Cloud practices. We have matured our competencies around Intelligent Automation, DevSecOps, Low Code No Code and Test Automation while delivering need-specific engagements for over three decades. Our Automation practitioners are subject matter experts in their respective areas and help our clients derive greater value through flexible engagements.
Agile ATDD

Agile ATDD

Acceptance Test Driven Development (ATDD) helps software teams improve the quality of the product and reduce defects during testing by agreeing upon a set of acceptance criteria before development. Iris uses a cloud-based Test Automation framework to automate significant parts of the ATDD process using AI-based tools. In a typical software development project, automation is introduced in later sprints, but early automation speeds up the development process, improves quality and reduces cost. By bringing in automation early in the lifecycle with in-sprint automation, we assist the clients in achieving 90% automation in the sprints as early as 1 and 2. We shorten the sprint cycles by almost 90% and improve script development speed by 80% for clients through ATDD-driven in-sprint automation. Know more about our Agile ATDD capabilities.
Tailored Solutions for Financial Services

Domain-aligned Automation

In the Financial Services industry context, agile and digital-first Fintech companies have significantly disrupted and changed the playing field for traditional financial institutions. Increasing regulations and compliance requirements are adding to their costs. Iris enables Financial Services businesses to transform their business models and drive efficiencies and productivity while maintaining or lowering costs. Our Intelligent Automation services deliver the desired value to companies leveraging a combination of platforms and technologies. We use Data Science and Machine Learning technologies to rapidly expand the adaptive standards of processing unstructured data and contextual knowledge. Our business-specific automation strategies help enterprises attain better business outcomes and customer experiences.

Machine Learning-based Automation

Machine Learning-based Automation

Test automation is maturing. Testing needs to match the pace of transition from the waterfall model to the proliferation of Agile environments and shorter development cycles. With a combination of autonomous, Machine Learning and Artificial Intelligence-based tools, Test Automation is rapidly becoming more advanced to realize IT and business objectives. Features like self-healing and analytics reporting are now becoming the norm in the Test Automation journey. Our AI/ML-based Automation solutions allow organizations to reap business benefits, including agility, speed, and growth, while significantly saving time and operational costs.

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