My Experiments with Gen-AI

The Beginning:

It was the summers of the mid-80s when a small town in western India was blessed with a grumpy kid. Happy families thronged the public phone booths to broadcast this news and inform near and dear ones. ????

The kid saw the transition from a landline phone to a mobile phone while growing up from being a toddler to touching adolescence. He could dream of possessing a mobile device only if it were a tad less expensive. Who thought it would take a turn of a century to make this dream a reality? Not just mobile phones but personal computers were no more a fantasy rather an important addition to his life. Just that those devices were a tad bit heavy, not smart at all, and obviously not that classy. ????

During the 2010s, technology leapfrogged and it democratised the access for slim, smart, fancy gadgets. ????

The Middle:

Cut to the 2020s that kid - now an adult is a consultant, and his favourite part of the role is connecting with clients over in-person catch-ups, soon to be challenged by pandemics and quarantines that transformed the way we connect with people. Private in-person meetings converted to zoom calls, Office grapevines sifted from pantry discussions to MS TEAMS. Fast forward today, he has been now leading a team of corporate mercenaries specializing in disrupting and improving the way his department operates using technology. ??????

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Generative AI is the new kid on the block. Disruption hits again:

Tasked in this wave of disruption, he gathers all his corporate experiences and builds his views on how this new technology would have helped if he were to start his career now. ????

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He remembers on his first day as an Internal Auditor in a Big4, he was tasked with making a risk register for a treasury process. He wonders what if the power of AI was available back then. He builds the first Use case, a treasury bot on his favourite platform on MS Teams which answers all his questions about the treasury process. ??????

Next, he wonders what if there were a ChatBot which could be fed with compliance and audit procedures. So he built a policy bot which can be queried for any specific tasks related to providing information on any policy. ??????

He wonders during those days he had to perform Data Analytics but what if using a powerful engine of AI, we can automate analytics and draft internal audit observations and recommendations too. What if he could also trigger workflows and send the exceptions report from a click of a button. That is what the next use case is going to solve for him. ??????

Conclusion:

Over the 35+ years, his evolution coupled by tech disruptions has only proved one point: Change is the only constant, and human minds need to adopt the disruption around them. Embracing the potential of Generative AI will continue to shape the future of corporate operations, pushing boundaries, and opening new avenues for growth and innovation. ??????