The global conversation around artificial intelligence is rapidly shifting from novelty and simple efficiency to a focus on strategic orchestration and human-centric value. While many fear that AI will replace human intelligence, industry leaders argue that the technology is actually a fundamental amplifier of human capability. In this evolving landscape, the success of AI deployment depends less on the code itself and more on the mental models humans use to interact with it.
In this episode of Analytics Insight Podcast, host Priya Dialani speaks with Arun Ramchandran, also known as ‘Rak,’ the CEO of QBurst. With over 25 years of industry experience at firms like Infosys and Capgemini, he offers a unique vantage point on helping enterprises transition from costly pilots to sustainable value. QBurst, a design-led digital engineering firm, is currently pioneering AI-driven service delivery models to break the linear link between revenue growth and headcount.
To help businesses navigate this transition, Arun developed ‘4A Model’. It breaks down AI evolution into four stages; Automation, Augmentation, Amplification, and Autonomy. Automation handles repetitive tasks and augmentation acts as a real-time co-pilot, the third stage, amplification, is where the true shift occurs. He explains that amplification turns a human from a doer into an orchestrator. Hence, allowing a single individual to scale their intent and achieve results previously impossible due to resource constraints.
This amplification can be clearly seen in digital engineering. Arun notes that a modern developer don’t just writes lines of code. They use Agentic AI to build, test, and deploy software. This allows the developers to focus on high-level judgment, empathy, and strategy. Meanwhile, AI handles the data-heavy lifting and speed. By treating AI agents as digital employees that follow strict organizational guardrails, he believes businesses can safely scale intelligence.
Arun emphasizes that moving toward agentic AI requires a new equilibrium between technology and human context. Through his High AIQ framework, combining high IQ (tech skills), high EQ (customer empathy), and AI, he aims for QBurst to deliver ‘Growth, Productivity, and Transformation.’ The QBurst CEO notes that these tools bring consistency and transparency to the workplace. They would strengthen the bond between managers, employees through a shared technology.
Listen to the full discussion on the Analytics Insight Podcast to understand how to move beyond AI hype and toward measurable, sustainable business outcomes.