Persistent Intelligent Business Automation Framework (PiBAF 2.0)

Enterprise automation has evolved rapidly—starting from basic macros and desktop automation to robotic process automation (RPA), intelligent automation (IA), and now with the game-changing impact of Generative AI (GenAI), it is entering a new era. Today’s automation landscape is a convergence of multiple technologies, including RPA, low code/no code (LCNC), intelligent document processing (IDP), process intelligence, and conversational AI (IVA/Chatbots).

Yet, despite these advancements, enterprises continue to struggle with:

• Repetitive, labor-intensive tasks that reduce employee experience (EX).
• Fragmented processes spread across legacy systems, departments, and geographies.
• Disjointed in-house technologies that are difficult to integrate and navigate.

This is where IA acts as the “binding force”—bridging the gaps between people, processes, and technology to drive meaningful business outcomes. At its core, IA is about empowering employees with modernized workflows, and seamlessly orchestrating multiple technologies to achieve the highest degree of automation.

PiBAF 2.0 is Powered by best-in-class Ecosystem Partnerships across a Plethora of IA Platforms

PiBAF 2.0 is designed to help enterprises:

• Discover inefficiencies in processes and workflows.
• Digitize unstructured data for better management and accessibility.
• Orchestrate seamless integration across enterprise applications.
• Automate workflows using a combination of LCNC, RPA, and Conversational AI.

These four core pillars are the foundation of PiBAF 2.0, powered by AI/ML to deliver real-time insights and analytics, further enhanced by GenAI.

Unlock greater efficiencies and transformative business outcomes with PiBAF 2.0.

Delivering ROI and Experience-led Outcomes

While most automation initiatives focus on Return on Investment (ROI)—measured in cost savings, time efficiency, and productivity gains—PiBAF 2.0 goes beyond traditional metrics. It also focuses on Return on Experience (ROE), improving:

• Employee Experience (EX) by eliminating mundane tasks.
• Customer Experience (CX) through seamless, AI-driven engagement.
• Partner Experience (PX) by enhancing operational agility.

This dual-outcome approach (ROI + ROE) ensures automation is not just about efficiency but also about enhancing experience, driving innovation, and creating lasting business impact.