Challenge
Generic AI can't reason about your assets.
Agnotic approach
We ground agents in your CMMS, asset, and work-order data so answers reflect real equipment.
Facilities AI Agents
Facilities AI Agent Development
We build AI agents for facilities management — grounded in your work-order, asset, and building data — that automate maintenance, manage work orders, surface building-operations intelligence, and resolve facility issues faster, so teams keep buildings running with less firefighting.
IoT / BACnetISO 41001GroundedOn-prem / VPC
Trusted by global innovators
What facilities AI agents involve
Facilities teams juggle work orders, assets, inspections, and building systems across a portfolio. AI agents grounded in that data turn it into action: triaging and routing work orders, recommending the maintenance action from asset history, answering operations questions, and surfacing issues from building telemetry — so problems get resolved before they become complaints.
The hard part is grounding and integration across building systems. Answers have to reflect real asset and work-order data, and the agent has to work across CMMS, BMS/IoT, and space systems. We build agents grounded in your facilities systems, with scoped actions and human oversight on anything consequential, so operations run smoother without losing control.
Architecture
See how we ground facilities AI agents — retrieval over work-order, asset, and building-telemetry data across CMMS and BMS/IoT.
Common failure modes
Facilities AI pitfalls — and how we handle them
Challenge
Data is spread across CMMS and building systems.
Agnotic approach
We integrate across CMMS, BMS/IoT, and space systems for one operational picture.
Challenge
Automated actions can misfire.
Agnotic approach
Scoped, reversible actions with human oversight on consequential moves.
Challenge
Issues surface too late.
Agnotic approach
Proactive detection from building telemetry so issues are caught early.
Facilities AI Agent Capabilities
The agent types we build for facilities operations.
Maintenance automation
Triage, route, and recommend maintenance from asset history.
Work-order management
Draft, assign, and track work orders through resolution.
Building operations intelligence
Surface insights and anomalies from building telemetry.
Issue resolution
Guide faster resolution of facility issues and requests.
Where it runs
Facilities AI agents we build
Work-order triage
Auto-triage and route incoming requests.
Maintenance recommendations
Recommend actions from asset history.
Predictive maintenance
Flag failures from building telemetry.
Operations Q&A
Grounded answers on assets and buildings.
Inspection support
Guide and capture facility inspections.
Tenant requests
Handle and route occupant requests.
Facilities AI that keeps buildings running
Facilities AI stalls when it can't ground on asset data or span building systems. We build for both.
6–10 wk
Typical first agent to pilot
Grounded
On CMMS & asset data
Cross-system
CMMS, BMS/IoT, space
Standards we build against
Facilities AI standards
ISO 41001ISO 55000BACnet / IoTSOC 2GDPRModel governance
Our Process
How we deliver facilities AI agents
Grounding on facilities data, cross-system integration, and oversight first.
1.
Use-case & data scoping
We pick a high-value use case and map the work-order, asset, and building data.
Value-first
2.
Grounding & integration
Retrieval over CMMS, BMS/IoT, and space data for one picture.
Grounded
3.
Agent build & guardrails
Scoped actions, human oversight, and evaluation against real scenarios.
Guardrailed
4.
Deploy & monitor
Rollout with logging, monitoring, and a feedback loop.
Observed
Why Partner With Us
15-Minute Scoping CallWhy teams trust us with facilities AI
Agents that keep buildings running, grounded and overseen.
Control-first
Scoped actions and human oversight on consequential moves.
Facilities depth
Fluent in CMMS, BMS/IoT, and asset operations.
Grounded, not guessing
Retrieval over real asset and work-order data.
Full-stack fluency
From building data to operations UX, one system.
Frequently Asked Questions
A focused agent — work-order triage or maintenance recommendations — typically reaches pilot in 6–10 weeks. Grounding on your CMMS and asset data and integrating building systems drive the timeline more than the model, so we start from one high-value use case.
Ready to put AI to work across your buildings?
Tell us one high-value use case and your systems. We will return a grounded facilities AI agent plan scoped to pilot.
contact@agnotic.com
Partnerships
contact@agnotic.com