AI-Driven FinOps: Transform Your Airline’s Financial Efficiency

NorthBay’s AI-Driven FinOps solution is designed to revolutionize financial management in the airline industry by fostering collaboration between finance and engineering teams. Our holistic approach yields a comprehensive understanding of costs across all critical segments, including Sales, Check-In, Flight Management, Customer Service, and Loyalty Programs. By leveraging the power of AI and cloud optimization, our solution delivers significant business outcomes and a compelling ROI.

AWS services such as Bedrock, Athena and Quicksight Q will be considered for the solution depending on scope.

Approach

Northbay’s team will work methodically with you in discovery sessions to understand your key priorities, operational processes and existing data environments to define the scope for success. Then, we will benchmark and analyze the current costs, implement optimization strategies and work with you to establish continuous monitoring and improvement. This is an iterative process and Northbay will work with you to continually refine the solution.

In more detail, the process of cloud optimization begins with macro analysis, where we assess overall cloud infrastructure alignment with business objectives, identify high-level cost-saving opportunities, and prioritize areas for detailed analysis in collaboration with finance and engineering teams. This is followed by micro analysis, where we drill down into specific segments to uncover granular cost drivers, use Generative AI to analyze extensive datasets and identify patterns, and implement targeted optimizations to enhance efficiency and reduce costs. Generative AI supports data integration by breaking down silos and providing a unified view of costs and performance, predictive analytics to foresee future trends and proactively manage resources and expenses, and continuous improvement through ongoing AI-driven insights to ensure efficient operations that adapt to changing business needs.

By leveraging our AI-Driven FinOps solution, airlines can achieve a transformative approach to financial management, driving strategic growth and operational excellence. The collaboration between finance and engineering teams, supported by advanced AI technologies, ensures that airlines can make informed, data-driven decisions that enhance profitability and elevate overall performance.

Activities

Key activities we will provide throughout the journey:

KPI Identification: Identify stakeholders and KPIs to set goals Data Collection and analysis: Discovery, resource and service tagging Performance validation: Measure, benchmark, test and integrate the metrics into business processes Monitoring and feedback: Gather feedback, monitor and track progress against goals, iterate on metrics

Deliverables

Depending on scope, you can expect to receive the following:

Dashboards that serve KPIs for monitoring Fine grain detail of infrastructure team cloud infrastructure costs Business team unit costs across airline segments Solution architecture diagram of the integrated system Roadmap report for future iterations with more detailed metrics and monitoring Technical documentation and handoff

Outcomes

Enhanced Financial Visibility: Our solution provides a comprehensive view of costs across all operational segments, allowing airlines to make informed financial forecasts and decisions to better allocate resources. Optimized Operational Costs: By identifying inefficiencies and implementing targeted optimizations, we help airlines streamline processes and significantly reduce operational expenses. Improved Customer Experience: Through cost-saving measures that do not compromise service quality, airlines can enhance the overall customer experience, leading to higher satisfaction and loyalty. Increased Profitability: Data-driven insights enable airlines to maximize ROI on sales channels and loyalty programs, driving increased profitability and financial growth. Scalable and Flexible Solutions: Our solution ensures that airlines can efficiently plan and manage capacity requirements, providing the flexibility to scale operations as needed without incurring excessive costs.

AWS Services

AWS Bedrock AWS Athena AWS Quicksight Q