RPA (Robotic Process Automation) automates strictly rule-based, repetitive tasks. IPA is the evolution of RPA, combining it with Artificial Intelligence (AI) (such as NLP and ML) to handle more complex tasks and unstructured data.

We serve various sectors, including Finance & Banking, Manufacturing, Logistics, Retail, and Fintech. Our expertise is horizontal, focusing on automation and data analysis across business functions (HR, Finance, Customer Service).

We start with a pilot-project-based approach. The initial phase involves testing the feasibility and proving the potential Return on Investment (ROI) in a limited process before full-scale deployment. This minimizes client risk.

The timeline varies by process complexity. However, with our pilot-project approach, proof-of-value and initial ROI estimates can often be seen within 4 to 12 weeks.

We implement ISO/IEC 25010 data quality standards and design secure cloud-native architectures. For predictive AI solutions, we use the MLOps framework to ensure continuous model accuracy and stability.

Our differentiation lies in our focus on Predictive Analytics and AI Governance (MLOps). We don't just automate existing processes; we deliver integrated forecasting and risk mitigation capabilities into your core business strategy.

Yes. An integral part of our methodology is Change Management. We provide clear training and adoption strategies for client teams to ensure the successful handover and sustainability of the solution.