# Nagarro

> Driven by Fluidic Intelligence, guided by caring

## About

Nagarro is a global digital engineering and AI transformation company. Its Fluidic Intelligence drives seamless intelligence flow, improving speed, decisions, and productivity.

- Verified: Yes

## Services

### AI Transformation Services
- [Digital Engineering Services](https://bilarna.com/services/ai-transformation-services/digital-engineering-services)

## Pricing

- Model: custom

## Frequently Asked Questions

**Q: What is fluidic intelligence in AI transformation?**
A: Fluidic intelligence in AI transformation is an approach that eliminates friction between people, data, and decisions to create a zero-friction enterprise. It integrates AI-native engineering to accelerate decision-making and improve adaptability. The core principle is removing barriers that slow down processes, allowing intelligence to flow seamlessly across the organization. This methodology operates at three levels: advisory, which identifies friction points and hidden knowledge; forge, which uses proprietary accelerators to build AI solutions quickly; and teams, where engineers are augmented with intelligent agents. The goal is to achieve measurable productivity gains, typically at least a 20% uplift in speed and efficiency. This approach is not about reinventing the enterprise from scratch but rather applying AI to existing systems and workflows to enhance fluidity and responsiveness.

**Q: How can enterprises achieve a 20% productivity uplift with AI?**
A: Enterprises can achieve a 20% productivity uplift with AI by adopting a friction-elimination strategy that integrates AI-native engineering across operations. The key is to identify and remove bottlenecks in decision-making and process flows using three core capabilities: strategic advisory to map hidden knowledge and friction points; proprietary AI accelerators to rapidly build and deploy solutions; and AI-augmented teams that combine human judgment with machine intelligence. This approach ensures that AI models are not just pilot projects but are deployed at scale in production environments. Continuous feedback loops and optimization engines further enhance performance. The result is a measurable improvement in speed and efficiency, with a minimum 20% gain reported consistently. Success depends on a holistic transformation rather than isolated AI tools, ensuring that intelligence flows across the enterprise seamlessly.

**Q: What are the core capabilities of an AI-native digital engineering approach?**
A: An AI-native digital engineering approach has three core capabilities: advisory, forge, and teams. The advisory capability uses systems thinking to identify friction points and hidden knowledge across the enterprise, enabling strategic transformation planning. The forge capability consists of proprietary AI accelerators that allow rapid design, customization, and deployment of AI solutions, including knowledge graphs, optimization engines, and feedback loops. The teams capability involves AI-augmented engineers who work alongside intelligent agents to orchestrate AI workflows and validate outcomes in production. These capabilities together eliminate barriers between people, data, and decisions, creating a zero-friction enterprise. The approach is designed to move AI from pilots to production, delivering measurable productivity gains. It combines human judgment with machine intelligence to drive continuous improvement and adaptability.

## Links

- Profile: https://bilarna.com/provider/nagarro
- Structured data: https://bilarna.com/provider/nagarro/agent.json
- API schema: https://bilarna.com/provider/nagarro/openapi.yaml