Turn tenant and occupant maintenance requests into dispatched work orders instantly
Sift extracts the issue type, location, urgency, access instructions, and tenant details from free-text maintenance requests so facilities teams can dispatch repairs faster.
The problem
Tenants and building occupants report maintenance issues via phone, email, or vague form submissions. Facilities teams manually triage, categorise, and assign each one. Urgent issues like leaks or heating failures get lost in the queue alongside lightbulb requests.
The solution
Sift parses the maintenance request, identifies the issue type, specific location, urgency level, access requirements, and preferred scheduling. Facilities managers receive structured work orders ready for dispatch to the right trade.
See the extraction
What users type
What you get
Radiator — banging noise + active leak onto carpet
Flat 4B
High — active leak, spreading water damage
Plumber / Heating Engineer
Monday or Friday preferred, building code 4721#
3 days and worsening
Why teams switch to Sift
Priority-based dispatch
Active leaks, heating failures, and safety hazards are flagged as urgent and dispatched immediately. Cosmetic issues queue normally.
Right trade, first time
Sift identifies whether the job needs a plumber, electrician, locksmith, or general maintenance, reducing mis-dispatches.
Access details captured upfront
Building codes, available times, and access instructions are extracted from the initial request. No follow-up calls needed.
Tenant satisfaction
Tenants describe the issue once and see it actioned quickly. No more feeling like their request disappeared into a void.
The numbers
75% faster
Dispatch time
Structured work orders go straight to the correct trade, eliminating the manual triage bottleneck.
Up 30%
First-visit fix rate
Better issue descriptions mean technicians arrive with the right parts and expectations.
Down 50%
Admin calls
Access details and scheduling preferences captured in the initial form eliminate follow-up phone calls.
Recommended fields
Recommended Form Fields
Frequently asked questions
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Use Cases
Sift analyses customer complaints to extract the core issue, severity, desired resolution, and emotional tone so your team can respond with precision and empathy.
Order IntakeSift extracts items, quantities, specifications, delivery requirements, and special instructions from free-text orders so your fulfilment team processes them error-free.
Incident ReportsSift extracts incident type, location, people involved, timeline, severity, and corrective actions from free-text incident reports for compliance and rapid response.