What does actual AI transformation appear like when leaders cease chasing prototypes and begin demanding outcomes they’ll really measure?
That query sat on the middle of my dialog with Alex Cross, Chief Know-how Officer for EMEA at CI&T, alongside Melissa Smith, as we unpacked why so many organizations really feel caught between AI ambition and enterprise actuality. There isn’t a scarcity of pleasure round AI, however there may be rising skepticism too, particularly from management groups who’ve seen pilots come and go with no clear return. This episode focuses on how CI&T is addressing that hole head-on.
Alex shared how CI&T frames its work as an AI-enabled transformation fairly than merely layering AI instruments onto current processes. The excellence issues.
As a substitute of utilizing AI to hurry up damaged workflows, CI&T reshapes how work will get achieved so AI turns into a part of worth creation itself. We explored a standout instance from ITAU, the most important financial institution in Latin America, the place deep modernization efforts delivered good points that the majority executives solely see in technique decks.
Productiveness rose sharply, digital launch cycles collapsed from years to months, buyer satisfaction jumped, and the industrial impression reached tons of of tens of millions in uplift. These are the sorts of outcomes that change boardroom conversations.
An enormous a part of how CI&T will get there may be its proprietary Movement platform. Alex defined that Movement offers shoppers with a day-one AI atmosphere, lowering upfront prices and complexity that usually gradual momentum. As a substitute of spending months constructing platforms earlier than any worth seems, groups can transfer from proof of idea to manufacturing in as little as six to eight weeks.
Movement additionally performs a second position that many AI applications overlook: it serves as a measurement layer, making efficiency, effectivity, and ROI seen fairly than assumed.
We additionally talked about why partnerships matter when execution is the purpose. CI&T works intently with hyperscalers like AWS and Databricks, combining native instruments with its personal codified experience. That mixture has helped the corporate obtain an unusually excessive success price in bringing AI initiatives to manufacturing, a problem many organizations nonetheless battle with. For Alex, the distinction comes right down to a relentless concentrate on manufacturing readiness and collaboration between enterprise and expertise groups from day one.
Trying forward, the dialog turned to CI&T’s growth throughout EMEA and what the corporate’s thirtieth 12 months represents. Slightly than chasing each new development, the main target is on productizing companies round actual consumer issues, whether or not that’s legacy modernization, effectivity, or development. The purpose is to bridge technique and execution in a approach that feels sensible, quick, and accountable.
If you’re main AI initiatives and questioning why progress feels slower than the hype suggests, this episode provides a grounded perspective from the entrance traces. As organizations head into one other 12 months of daring AI plans, the true query is that this: Are you constructing sooner caterpillars, or are you able to do the more durable work required to show ambition into one thing that may really scale?
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