Observe
Documents, work orders, vendors, compliance records, assets, utilities, and field state.
Platform
From visibility to agentic execution.
Airwise unifies building context, evidence, tasks, approvals, vendor coordination, and action queues so operators can move from fragmented human coordination toward supervised AI-assisted execution.
DataReasonApproveExecute
Context graph
Building, asset, vendor, evidenceRules layer
Compliance and operational policiesAction engine
Tasks, approvals, handoffsObservation
Audit, status, runtime eventsOperating Layer
One intelligence layer between building data and operational execution.
Airwise does not replace the systems buildings already use. It learns from them, normalizes the operating context, and routes supervised actions back to the teams responsible for outcomes.
Data Sources
Sensor signalsResident requestsDocumentsWork ordersVendorsComplianceAssetsUtilities->
Airwise
Operational Intelligence Layer
Context graph + evidence + rules + tasks + approvals->
Execution Outputs
RecommendationsVendor quotesApprovalsDispatchesField executionOwner reportingHow It Works
The operational intelligence loop.
The product creates value today by making operations observable and coordinated. The same primitives become the foundation for increasingly autonomous workflows.
Understand
Normalize building context into evidence, obligations, risk signals, and operating memory.
Recommend
Prioritize actions by risk, owner impact, workflow readiness, and approval requirements.
Coordinate
Route tasks, approvals, vendor work, field execution, and owner reporting.
Learn
Preserve audit trails, outcomes, closeout evidence, and decision history.
Platform Today
Current capabilities, stated honestly.
Airwise is not claiming fully autonomous buildings today. The platform creates the operational foundation: visibility, evidence, coordination, tasks, approvals, vendor handoffs, and supervised execution workflows.
Compliance Coordination
Turns requirements, evidence, deadlines, filings, and reviewer status into a coordinated operating workflow that reduces exposure across portfolios.
Today
- LL97 requirement generation
- Evidence state tracking
- Filing package workflow
- Calendar and closeout visibility
Tomorrow
- AI-driven compliance operations
- Exception triage across portfolios
- Supervised filing preparation
Maintenance Intelligence
Connects resident complaints, sensor issues, asset context, work orders, vendor action, and operational risk into one execution queue.
Today
- Maintenance playbooks
- Work order import primitives
- Asset lifecycle visibility
- Risk-ranked recommendations
Tomorrow
- AI-driven maintenance planning
- Vendor quote coordination
- Preventive action orchestration
Document Intelligence
Extracts operational meaning from invoices, contracts, utility bills, warranties, inspections, and compliance evidence.
Today
- Document registration
- Classification and review queues
- Invoice and quote extraction review
- Evidence linkage
Tomorrow
- Cross-document operational memory
- Autonomous draft routing
- Portfolio knowledge graph enrichment
Field Execution
Moves work from issue detection to supervised field action with assigned tasks, vendor handoffs, closeout evidence, and approval steps.
Today
- Field workbench
- Closeout evidence capture
- Approval-required workflow states
- Owner/operator task routing
Tomorrow
- AI-coordinated execution
- Quote-to-dispatch automation
- Human-approved operational workflows
Vendor Coordination
Creates operating discipline around vendor outreach, quote reviews, dispatch, spend guardrails, and operational follow-through.
Today
- Vendor workspace
- Dispatch packet workflow
- Quote review states
- Spend guardrail checks
Tomorrow
- AI-managed vendor follow-up
- Procurement-aware recommendations
- Outcome-linked vendor performance
Owner Reporting
Transforms operational noise into owner-ready summaries, exceptions, evidence-backed decisions, and a clearer view of NOI risk.
Today
- Owner report drafts
- Command center snapshots
- Timeline and outcome views
- Portfolio intelligence
Tomorrow
- Autonomous reporting cycles
- Decision memos from live context
- NOI-aware operational narratives
Why OS
Not a dashboard. Not a CMMS. The operating layer.
System of context
Building records, residents, assets, public data, documents, evidence, vendors, and telemetry readiness.
System of judgment
Rules, policy checks, risk ranking, NOI impact, recommendations, and operational decision support.
System of action
Tasks, approvals, quote workflows, closeout evidence, vendor coordination, owner reporting, and supervised commands.
Trust & Security
Control boundaries before autonomy.
The product is built around supervised workflows, tenant-aware access, evidence, auditability, and approval gates. Airwise should earn the right to automate operational work, step by step.
Audit trails
Evidence records
Approval workflows
Observability hooks
Backup tooling
Tenant controls
Configuration validation
Fail-closed architecture
What we do not claim
Airwise does not claim buildings are fully autonomous today. It does not claim unsupervised control of physical building systems. High-risk actions should remain gated by human approval and deployment policy.