What does AI-led transformation really seem like when it strikes past pilots, hype, and slide decks and begins altering how work will get achieved each day?
That query framed my dialog with Venk KorlaCEO of HGSat a time when many organizations really feel each excited and exhausted by AI. Boards need outcomes, groups are buried in proofs of idea, and leaders are underneath stress to point out progress with out breaking belief, budgets, or operations. This episode cuts via that pressure and focuses on what it takes to show ambition into outcomes.
Venk shared how HGS thinks about what he calls clever experiences, the place buyer interactions are immediately related to operational follow-through. As a substitute of treating AI as a front-end layer or a chatbot add-on, HGS hyperlinks context, information, and achievement so the expertise continues after the dialog ends. We talked via sensible examples, from airways proactively rebooking stranded passengers earlier than they queue at a desk, to healthcare suppliers guiding sufferers step-by-step earlier than and after surgical procedure with well timed, related messages. In every case, the worth comes from anticipation and execution, not novelty.
HGS appoints Venkatesh Korla as International CEO
An enormous a part of our dialogue centered on why so many AI initiatives stall. Venk described how organizations typically chase know-how first, launching pilots with out redesigning the underlying course of. HGS takes a distinct route via what they name Realized AI, embedding AI into particular workflows with clear possession and measurable targets. The main focus is on outcomes comparable to quicker processing, larger compliance, and improved buyer satisfaction, all confirmed inside a ninety day proof of worth. It’s a disciplined method that favors repeatability over experimentation theater.
We additionally hung out on cloud technique, an space the place expectations and actuality typically collide. Venk was candid about why easy lift-and-shift migrations fail to ship worth. With out re-architecting purposes to make the most of elasticity and serverless compute, cloud spend can develop whereas efficiency stalls. He shared how a FinOps mindset, mixed with software redesign, helped one shopper dramatically enhance load speeds whereas decreasing prices, reinforcing the concept transformation requires structural change, not floor motion.
Ethics and belief have been one other thread operating via the dialog. Venk emphasised that AI methods are solely as dependable as the information, governance, and oversight behind them. Human-in-the-loop design stays central at HGS, making certain accountability, empathy, and confidence for each prospects and staff working alongside AI. This stability between automation and human judgment got here up once more once we mentioned their software-as-a-surface mannequin, the place AI and other people work collectively in a rigorously orchestrated means, with pricing tied to resolved outcomes relatively than exercise alone.
Because the tempo of change continues to speed up, this episode gives a grounded perspective on tips on how to transfer ahead with out getting misplaced in noise. In case you are main transformation and feeling stress to point out progress, the true problem is probably not selecting the best device, however deciding which outcomes actually matter and redesigning work round them.
As AI, cloud, and buyer expertise proceed to converge, are you constructing methods that look spectacular in demos or that ship predictable outcomes when it counts?
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