CI&T Introduces Enterprise AI Framework to Move Organisations Beyond Experimentation

LONDON, 25 February, 2026 – CI&T (NYSE: CINT), a global partner for tech-integrated business solutions, in partnership with MIT Sloan Management Review Brazil, announced the release of “Culture Eats AI for Breakfast,” a new enterprise AI framework focused on accelerating organisational learning and AI adoption. 

The framework responds to a persistent enterprise challenge: despite growing investment, most AI initiatives struggle to scale. MIT research suggests that up to 95% of AI initiatives fail to translate beyond the pilot phase. This paper focuses on what it takes to close that gap—examining the cultural shifts, governance frameworks, and performance metrics required to move AI from promise to enterprise impact through practical, experience-backed strategies.

The Human Factor and the “Narrative Vacuum":

Cesar Gon, founder and CEO of CI&T, a leader in AI-driven business solutions, uses the report to issue a direct challenge to corporate leadership.

“Peter Drucker famously said that culture eats strategy for breakfast. If that’s true—and I believe it is—then culture eats AI for every meal of the day. The technology works. We don’t. Ultimately, an organisation’s speed of change is capped by its speed of learning,” said Gon. “Most pilots fail due to a ‘narrative vacuum’. When AI is perceived as a replacement for people, it triggers fear and silent resistance. The winning companies are those with the courage to redesign their culture, replacing fear with purpose, governance, and a ‘super-human’ workforce.”


A Framework in Three Acts:

To move beyond the failure statistics, CI&T outlines a transformation journey grounded in Lean principles and structured across three acts:
 
- Experimentation: Decentralised pilots that validate AI value in specific areas 
- Acceleration: Creation of governance, reskilling at scale, and prioritising high-impact cases
- Disruption: Reinvention of business models, multi-agent platforms, and AI operation as the default 

"The gap between what is technologically possible and what is wise is widening," added Gon. "This paper is our attempt to close that gap, offering a roadmap to move from isolated experimentation to repeatable, scalable learning."

The full paper is available for download via CI&T and MIT Sloan Review Brazil.

About CI&T
CI&T (NYSE:CINT) is a global technology transformation specialist for 100+ large enterprises and fast growth clients. CI&T has a 30-year track record of helping clients navigate change to deliver accelerated business impact, with deep expertise across AI, strategy, customer experience, software development, cloud services, data, and more. CI&T’s proprietary AI platform, CI&T FLOW, boosts team productivity, ensuring fast, efficient, and scalable delivery of world-class solutions. CI&T operates globally, supported by over 8,000 professionals across 10 countries.
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