Data-Driven Capital Planning for Tomorrow.
Leverage asset insights, condition data, and lifecycle forecasting to prioritize investments, optimize budgets, and maximize long-term returns.
Lifecycle Cost Models
Comprehensive cost projections across the entire asset lifespan
Useful Life Estimates
Accurate forecasts of remaining service life for informed planning
Replacement Roadmaps
Prioritized plans to guide timely asset renewal and upgrades
Data-first Strategies
Data-backed recommendations for efficient capital allocation
Delivering data-driven insights to drive capital planning
Using verified data and condition assessments, we support clients in capital expenditure forecasting and asset replacement planning. Our models help prioritize investments based on asset criticality, performance risk, and remaining useful life, enabling smarter long-term budgeting.
Helps public sector organizations align with Vision 2030 infrastructure goals (KSA) and digital transformation roadmaps (UAE). Ensures investments are timely, justified, and efficient.
Plan Today for a Smarter Tomorrow
SGE supports finance and operations teams with data-backed capital expenditure (CAPEX) planning using real-world asset data. Our models help organizations forecast asset renewal needs and replacement investments. This enables strategic allocation of funds, minimizing emergency repairs and optimizing infrastructure investment cycles.
Asset Criticality Mapping
We identify which assets are critical to operations, safety, or service continuity.
Useful Life Estimation
Based on asset condition, age, and manufacturer specifications.
Replacement Cost Analysis
CAPEX projections include supply, installation, and commissioning estimates.
Prioritization Matrix
CAPEX proposals are ranked by urgency, compliance risk, cost-benefit, and ROI.
Multi-Year Planning Reports
Delivered in formats ready for budget submissions and board-level reviews.
Why CAPEX Planning Matters
Smart capital planning transforms reactive spending into strategic investment. By using actual asset condition and lifecycle data, we help you forecast replacements, reduce emergency spending, and align budgets with operational priorities.
This service supports your team in:
Developing multi-year asset replacement strategies based on condition, usage, and risk.
Submitting data-backed budgets that are justifiable to executive leadership and finance teams.
Avoiding costly surprises by replacing high-risk assets before they fail.
Maximizing ROI by prioritizing critical infrastructure investments over non-essential upgrades.
Planned vs Reactive CAPEX - The Financial Impact
Trusted by leading organizations, our CAPEX planning support services help you with data-driven insights to improve capital spends and maximize ROI.
Experience in CAPEX modeling for over 750,000 assets
Models aligned with depreciation and usage metrics
Presentation-ready outputs for CFOs and board reviews
Delivering Excellence Across Saudi Arabia and UAE
Saudi Arabia Military
Industries
Development of fixed asset listing, tagging and data collection of assets in over 30 military equipment manufacturing facilities
No. of Assets: 30,000
Project Duration: 2 Months
Ministry of Health
KSA
Development of fixed asset listing, tagging and data collection of assets in over 120 hospitals & 1200 public health clinics
No. of Assets: 700,000
Project Duration: 6 Months
Royal Commission
Al Ula
Implementation of StarCMMS asset management software, tag and verify fixed assets owned by Royal Commission
No. of assets: 40,000
Project Duration: 3 Months
Dubai International
Hotel Dubai Airport
Implementation of StarCMMS asset management software and assist in achieving highest O&M standard
No. of Assets: 50,000
Project Duration: 4 Months
Ajman University
Ajman
Implementation of StarCMMS asset management software, tag and verify fixed assets owned by Ajman University
No. of Assets: 60,000
Project Duration: 6 Months
The First Group
Dubai
Implementation of StarCMMS asset management software, tag and verify fixed assets in 11 hotels of The First Group
No. of Assets: 120,000
Project Duration: 12 Months
