Facilities
Equipment Lifecycle Optimization
AI determines the optimal replacement timing for equipment based on repair costs and age — so you repair or replace with data.
What it does
- Analyzes repair cost and age to recommend repair vs. replace
- Determines optimal replacement timing for major equipment
- Models total cost of ownership for repair vs. new equipment
- Identifies equipment that should be replaced in the next budget cycle
- Supports capital planning with prioritized replacement lists
- Tracks equipment lifecycle decisions and outcomes
- Factors in energy efficiency and reliability of new vs. existing
- Exports replacement recommendations for asset and finance planning
What it takes
- Equipment Asset List & Age
- Repair History & Cost by Asset
- Replacement Cost Quotes
- Energy & Efficiency Data
- Capital Budget Constraints
What it returns
- Excel Table
- PDF Report
- Capital Memo
- JSON Data
Written into the systems your team already runs, not into a second system of record.
How teams run it
Repair vs. Replace
Recommend whether to repair or replace specific equipment.
Replacement Priority List
Rank equipment by recommended replacement timing.
Total Cost of Ownership
Model TCO for keeping vs. replacing equipment.
Capital Plan Input
Generate equipment replacement list for capital planning.
Cited, or flagged
Every value is anchored to the clause it came from. Where one is missing, Surfaice says so rather than inventing it.
Read where it lives
Documents are processed for the request and not retained afterwards. Nothing is copied into a second system of record.
Never trained on
Your documents do not train models — yours or anyone else's.
More in Facilities
See it run on your own documents.
Fifteen minutes, your files, and the clause behind every answer.