Key Challenges

A client sought to unlock operational efficiency and drive growth by reshaping P&Ls, operating models, workforce allocation, and service delivery, shifting competitive advantage from headcount scale to AI-augmented workforce models. The main challenge was the heavy reliance on SaaS vendors for data storage and processing, along with the need to own their data and capture all client interactions within their own data ecosystem.

Solution

Before integrating AI, the foundational infrastructure and operating architecture were re-architected to create an integrated core of data, software, and AI. This included:

• Building a centralized data lake

• Layering products and services with AI capabilities across the enterprise

• Enabling self-service capabilities for end-users through cloud modernization and serverless deployment

Key Advantages

• Increased agility through standardization and improved time-to-market 

• Reduction in capital investment by moving to the Cloud 

• Reduced complexity, staffing levels, and overall total cost of ownership

Benefits

By refocusing the strategic priorities and adapting a comprehensive technology strategy before scaling any AI capabilities, the client was able to tailor customer experiences and developed new AI enabled service lines to capture market opportunities and grow sales.