StableLogic enables customers to develop precise and strategic forecasts for both pre-migration planning and ongoing optimisation:

• Customer IT Inventory Discovery & Business Case Development:
  We begin with a structured discovery phase, mapping on-premises and cloud workloads, infrastructure footprints, and business requirements. This helps us create a detailed current-state baseline and identify transformation opportunities.
• Pre/Post Migration TCO Modelling:
  Using a combination of AWS Migration Evaluator, Application Discovery Service, and our own financial modelling templates, we help build detailed TCO comparisons. These analyses consider compute/storage/networking footprints, licensing costs, labour efficiency gains, and AWS pricing models (e.g., Reserved Instances, Savings Plans).
• Bottom-up Forecasting for Net-New Workloads:
  For new projects or greenfield applications, we build workload-level forecasts based on planned infrastructure design, estimated consumption, and scaling patterns.
• Demand Driver-Based Forecasting:
  We incorporate unit economics and business demand drivers (e.g., cost per transaction, per user, per GB processed) to forecast costs under different usage growth scenarios.
• Optimised Pricing Models:
  We guide customers through choosing the best-fit AWS pricing options — including On-Demand vs. Reserved Instances, EC2 Spot, Savings Plans, and Graviton adoption — to optimise for long-term efficiency and ROI.

We help customers define and track business value metrics beyond simple cost reduction, such as:

• Improved agility and deployment speed
• Reduction in technical debt
• Service reliability improvements
• Acceleration of innovation cycles

Our reporting frameworks include qualitative and quantitative success measures tied to business goals, such as improved customer satisfaction, revenue enablement, or compliance posture improvements post-migration.

We use proven processes to identify cost savings, cost avoidance and wider productive savings. In addition, we use AWS tools to accurately monitor and prove the delivery of these savings.

StableLogic leverages predictive modelling approaches to forecast future AWS spend with high confidence:

• Historical Trend Analysis:
  We analyse at least 12 months of trailing cost data (TTM) using AWS CUR and Cost Explorer to identify seasonality, usage anomalies, and growth patterns.
• Linear Regression & Machine Learning Models:
  Using tools such as Amazon Forecast, Python-based models, or third-party FinOps platforms, we build predictive models that estimate month-over-month or quarterly/yearly costs based on historical usage and growth trends.
• We also implement variance analysis frameworks to measure actual vs. forecasted spend and explain deviations to stakeholders.

We provide customers with:

• 12+ months of cost breakdowns by account, service, region, and business unit using CUR data.
• CUDOS dashboards or custom QuickSight visualisations to track usage patterns, key contributors to cost growth, and efficiency opportunities.       We also support Power BI, Grafana and Tableau dashboards and are very happy to be flexible to meet our customers requirements.
• Regular FinOps reviews that analyse usage spikes, idle resources, and rightsizing opportunities.