The 50-word definition
LAYLA is FacilityLane's in-product AI assistant for maintenance teams. It answers plain-English questions about work orders, assets, inventory, and meters; predicts asset failures using maintenance history and sensor data; drafts work orders; and optimizes PM schedules. LAYLA is grounded in your organization's data and available on the Enterprise plan.
Why an AI assistant belongs inside the CMMS
Maintenance teams already drown in tools. A standalone chatbot that cannot see the asset tree or the work-order history is a demo — not a daily tool.
LAYLA runs inside FacilityLane with access to the same data the planners, supervisors, and technicians already use. That matters because the quality of the answers depends entirely on the data the model can see.
Three design choices make the difference:
1. LAYLA reads your data, not a pooled dataset shared across other customers.
2. LAYLA calls real APIs (create work order, check status, assign technician) with tool-use rather than just generating text.
3. LAYLA persists context across turns — a planner's Monday review conversation can continue on Tuesday without re-stating every asset code.
What LAYLA does
1. Plain-English queries
Ask questions like:
- "Which HVAC chillers had the most reactive work last month?"
- "What's our MTTR trend for the East plant this quarter?"
- "Show me assets with climbing reactive-work hours in the last 90 days."
LAYLA answers with data pulled from your CMMS — not generic opinions.
2. Failure prediction
LAYLA scores failure risk per asset using maintenance history, meter readings, and sensor data. Risk changes over time; LAYLA surfaces the delta so planners spend time on assets whose trajectory is worsening.
3. Work order drafting
Given a short prompt ("compressor making unusual noise, Unit 3, East plant"), LAYLA drafts a scope, suggests parts, attaches relevant procedures, and sets a reasonable priority. A human reviews and assigns.
4. Schedule optimization
LAYLA inspects actual wear patterns and recommends adjustments to PM frequency — more often for assets trending poorly, less often for assets outperforming the baseline.
5. Anomaly detection
LAYLA flags meter and sensor readings drifting outside expected ranges, so condition-based maintenance triggers do not sit waiting for a human to notice.
6. Procedure generation
Upload a manufacturer PDF, a photo of a nameplate, or a voice note — LAYLA turns it into a standardized checklist your technicians can run on mobile.
Example prompts
- "Draft a work order for emergency chiller inspection at site 4."
- "Which parts are below reorder point in the main storeroom?"
- "What's the compliance rate for our monthly HVAC PMs?"
- "List assets with MTBF declining more than 20% in the last 6 months."
- "Summarize the last five completed work orders on Compressor #7."
Where LAYLA lives
LAYLA is available on web, mobile, and voice inside FacilityLane. On the mobile app, technicians can use voice-to-text to log notes, open work orders, or ask LAYLA for the right procedure.
Multi-language support covers English, Arabic, Spanish, German, French, and Hindi.
Plans that include LAYLA
LAYLA and predictive maintenance are part of the Enterprise plan. See the pricing page for the full feature table across Free, Starter, Professional, and Enterprise tiers.
LAYLA vs chatbot hype
Many "AI CMMS" features in 2026 are glorified text search. LAYLA is designed around three disciplines that separate it:
- Grounded: operates on your tenant data only, with multi-tenant isolation enforced by PostgreSQL Row Level Security.
- Tool-using: calls real CMMS APIs rather than just producing text that someone has to copy somewhere.
- Measurable: every LAYLA-generated action is logged in the work-order audit trail so you can measure its contribution to outcomes.
Getting started
If you are on Enterprise, LAYLA is in the top-right of every FacilityLane page. If you are on a lower tier and want to try LAYLA, request a demo and we will walk through example prompts on anonymized data similar to your operation.