Fluidic Intelligence Amplified with Nagarro Managing Director, Csaba Szabo
Fluidic Intelligence Amplified
WLDA Tech Talk | Thursday, May 7 | 12:00 PM – 1:00 PM EDT
Most enterprise AI initiatives stall, not because the technology fails, but because the organization does. Siloed data, misaligned leadership, and the absence of measurable success criteria continue to block value realization at scale. Meanwhile, a 2025 MIT study found that 95% of generative AI pilots produce no measurable financial impact.
The organizations that beat those odds share a common pattern: they treat AI as a systemic redesign challenge, not a technology deployment.
In this session, Csaba Szabo, Managing Director of Nagarro's Global Business Unit, presents Fluidic Intelligence Amplified, a practitioner's framework for eliminating organizational friction and enabling intelligence to flow across people, systems, and processes. Drawing on Nagarro's enterprise deployments and validated by the Stanford Digital Economy Lab's Enterprise AI Playbook (Pereira, Graylin & Brynjolfsson, April 2026), one of the most comprehensive empirical studies of successful enterprise AI adoption to date, this session moves beyond theory to operational reality.
This session covers:
How to architect system-to-system agentic workflows that remove humans from low-value decision loops and redeploy them as strategic orchestrators
Why defining KPIs and executive alignment frameworks before deployment begins is the single most reliable predictor of AI program success
How to leverage MCP connectors and open-source accelerators to break down data silos without requiring perfect data readiness
What change management at scale looks like in practice, including how Nagarro is transitioning 16,000 engineers from code producers to architecture decision-makers
How to measure AI maturity using leading indicators, not just productivity output, but intervention frequency, model verification rates, and objective achievement
Who should attend: CIOs, CDOs, and senior technology leaders responsible for scaling AI across the enterprise.