Sandeep Shivam is Associate Director at Tavant, building software products that streamlines lending and enhances customer experience.
What epitomizes the triumph of technological advancement? It’s neither the intricacy of technology itself nor solely the potential it encompasses. The authentic criterion lies in its capacity to address significant human challenges and enhance daily life on a large scale.
Consider smartphones, for example. They haven’t merely transformed communication—they’ve fundamentally changed how we work, navigate, connect and absorb information. For the urban population and beyond, smartphones have become indispensable, exemplifying how technology succeeds when it becomes an integral part of everyday existence. Conversely, technologies such as cryptocurrency, despite being abundant in potential, have yet to attain this degree of widespread acceptance largely because they haven’t yet addressed a broad, tangible problem in people’s daily lives.
We’re currently in a transformative epoch when artificial intelligence (AI) transcends mere technological advancement. It’s become a disruptive force, fundamentally altering the fabric of human existence and interaction with the world. By the 2030s, the advent of artificial general intelligence (AGI) is anticipated to usher in monumental changes, ranging from aiding in household chores such as cooking and cleaning to transforming our approach to everyday life on a grand scale. Nonetheless, my emphasis here isn’t on the long-term prospects of AGI but instead on the pragmatic impacts of agentic AI.
Encountering Monotonous Data Entry
In contemporary times, whether it involves a first-time consultation with a physician, purchasing automobile insurance or applying for a mortgage, the user experience is frequently initiated by a monotonous data entry procedure. For instance, at a new medical facility, patients are often required to complete extensive intake forms, reiterating the same information during each visit to a different healthcare provider.
Similarly, when acquiring auto insurance, consumers must respond to a series of questions that span several minutes before obtaining a quote. To compare offers from multiple insurers, they must endure the same repetitive process numerous times. The mortgage industry also exacerbates this challenge. Prospective homeowners face the formidable task of completing the Uniform Residential Loan Application (URLA), which necessitates entering data into over 200 fields. Should borrowers opt to switch lenders, they must replicate this entire process from scratch, introducing undue friction, delays and frustration.
Moving Toward Autonomous Decision Making
Agentic AI harbors the capacity to fundamentally transform the way humans engage with technology by operating autonomously on our behalf rather than merely assisting. By the year 2030, it’s anticipated that individuals will increasingly rely on sophisticated intelligent agents rendering decisions and adapting to our preferences and behaviors.
Although contemporary smart assistants such as Alexa or Google Assistant can manage rudimentary household commands—like turning on lights or checking the weather—agentic AI signifies a profound shift. These agents won’t merely follow instructions—they’ll proactively make informed decisions based on context, constraints and objectives defined by the user.
Envision this scenario: Instead of perusing multiple websites to purchase a pair of jeans, comparing styles, prices and reviews, you simply instruct your agentic AI, “Order a pair of jeans for me.” The agent, already familiar with your size, preferences and style history, evaluates how each option might suit your physique, identifies the best price across retailers and finalizes the purchase, thus conserving your time and alleviating decision fatigue.
How Agentic AI Helps Relieve The Monotony
Returning to the original dilemma—repeatedly completing forms across various scenarios—agentic AI presents a resolution. Armed with personal data and contextual awareness, an intelligent agent can manage form-filling tasks across multiple domains, delivering both convenience and efficiency. For instance, when I visit a new clinic, I can instruct my agent to complete the intake forms on my behalf. If there are any missing details, it can query me with a quick voice prompt, capture my response and store that information for future use. Consequently, when I visit a different healthcare provider, I won’t need to reanswer the same questions—the agent retains the necessary information and acts accordingly.
In the realm of auto insurance, an agent can automatically populate forms across multiple provider portals, retrieve quotes, compare options and finalize the purchase—all while I enjoy a cup of coffee at home. Similarly, when applying for a mortgage, I can delegate the task to my agent. It can complete the extensive URLA, procure any required authorizations (such as consent for the credit pull) and finalize the process, significantly reducing the burden on me and eliminating redundant data entry.
This extends beyond mere automation—it’s personalized delegation powered by intelligence. Agentic AI has the potential to become our digital proxy, streamlining complex, repetitive tasks to allow us to focus on what truly matters.
Conclusion
Although the notion of such human assistance may appear innovative today, agentic AI is poised to materialize in the coming years. These advanced intelligent agents will transform the way we engage with digital experiences, transitioning us from active participants to strategic delegators.
What distinguishes agentic AI is its capacity to make context-aware decisions, mirroring human judgment. By undertaking tasks, orchestrating workflows and executing actions on our behalf, these agents can free up valuable time, enabling us to devote more to our families, sports, entertainment and overall well-being. This development transcends mere automation—it heralds the emergence of a new digital paradigm centered on intelligent delegation and personalized efficiency.
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