Research and Development

Where Innovation Meets Implementation

At Laboratoires Structure, R&D isn't a separate department—it's how we approach every client engagement. We're constantly exploring the intersection of emerging AI capabilities and real-world business challenges, developing proprietary methodologies that become competitive advantages for our partners.

Agentic AI Workforce Integration

AI-Native Process Design

Intelligent Customer Experience

Rather than retrofitting AI onto existing processes, we're researching how to design workflows from the ground up with AI capabilities in mind. This includes developing new methodologies for process mapping, decision trees, and human-AI collaboration patterns.

Beyond chatbots and recommendation engines, we're exploring how AI can create genuinely anticipatory customer experiences—systems that understand context, predict needs, and deliver value before customers realize they need it.

We're pioneering the integration of AI agents into existing business workflows, moving beyond simple automation to create intelligent systems that can reason, adapt, and collaborate with human teams. Our current work focuses on Google Workspace and Asana ecosystems, developing frameworks that other organizations can adopt and scale.

Proprietary Methodologies

  • Our systematic approach to AI-enabled digital transformation that ensures every implementation creates measurable business value while building organizational capability for continuous innovation.

  • Step-by-step methodologies for introducing AI agents into complex business environments without disrupting existing operations or team dynamics.

  • A comprehensive evaluation tool that identifies not just technological gaps, but organizational, cultural, and process readiness for AI adoption.

Innovation Pipeline

Cross-Industry Pattern Recognition

Building systems that can identify successful transformation patterns from one industry and adapt them for application in entirely different sectors.

Next-Generation Process Intelligence

Developing AI systems that can analyze and optimize business processes in real-time, identifying inefficiencies and suggesting improvements continuously rather than during periodic reviews.

Predictive Change Management

Research into how AI can help organizations anticipate and prepare for the human side of digital transformation, predicting resistance points and suggesting intervention strategies.