Fast Lane Customer Success Stories

Transforming the Future of Connectivity

A leading telecommunications and digital solutions provider in Central and Eastern Europe, operating across 7 countries and serving over 25 million customers.

AI Adoption for Smarter Investment Decisions

A prominent global growth equity firm, with a diverse portfolio spanning multiple industries, recognized the transformative potential of Artificial Intelligence (AI) across its funded companies. However, despite a strong appetite for innovation, most portfolio companies lacked the technical expertise and strategic frameworks necessary to evaluate and implement AI initiatives effectively.

AI Agents Assist with Mobility

With the growing demand for faster and more efficient roadside assistance services, a national automotive support provider recognized the need to modernize its customer support capabilities. Drivers stranded with vehicle issues often faced delays due to traditional phone-based systems and manual triage processes. These inefficiencies led to longer waiting times, inconsistent service experiences, and operational bottlenecks that strained available resources.

Forecasting Airport Terminal Energy Consumption

Faced with rising operational costs and ambitious sustainability goals, a major international airport operator sought to better forecast energy consumption across its terminals. Although the airport had been collecting extensive sensor data, much of it remained underutilized. The data was stored in Azure Data Lake but lacked a scalable method to convert it into actionable, predictive insights

AI for Environmental Monitoring in Oil & Gas

Environmental regulators and growing public scrutiny are putting increased pressure on energy companies to monitor and mitigate methane emissions more proactively. Methane, a potent greenhouse gas, is a significant contributor to climate change, intensifying the urgency for more effective monitoring solutions.

AI for Environmental Impact

Illegal waste dumping in remote and rural areas emerged as a growing threat to national sustainability efforts and environmental preservation. Traditional field monitoring approaches such as manual site inspections and patrols proved highly inefficient, laborintensive, and costly.

These methods made it impossible to consistently track and prevent illegal dumping across vast, often inaccessible territories. The lack of real-time data also limited authorities’ ability to respond quickly or enforce penalties.

Global Telecom Accelerates Data & AI_Strategy

As a well-established Microsoft enterprise customer, this global telecommunications leader sought to revitalize technical skilling within its EASE IT organization, particularly in the critical areas of Data, AI, and Analytics. While technical training was available, engagement plateaued, and the customer needed a creative, structured strategy to re-energize participation and drive deeper adoption of AI solutions.