Detect
Sensor signal, resident request, inspection finding, invoice variance, or work order enters the layer.
Vision
A future where buildings run themselves.
Real estate remains one of the largest industries still operated through fragmented human coordination. Airwise is building the intelligence layer that allows AI to understand, coordinate, and eventually operate building workflows at scale.
01
Visibility
02
Coordination
03
Decision support
04
Supervised execution
05
Autonomous workflows
Vision
A future where buildings run themselves.
Real estate remains one of the largest industries still operated through fragmented human coordination. The first step is not full autonomy. It is a shared intelligence layer that understands the asset, the obligation, the document, the vendor, the task, and the approval path.
Airwise is building the foundation that allows AI to understand building context, coordinate workflows, recommend action, and eventually operate meaningful portions of building operations under human oversight. The ambition is not another dashboard. The ambition is AI agents handling the coordination layer that consumes time, leaks money, and slows every building team down.
Agentic Operations
The future workflow is an AI-run coordination layer.
Airwise is not claiming fully autonomous buildings today. The platform is being built so supervised agents can increasingly handle the operational middle: identify issues, gather context, coordinate vendors, prepare decisions, and execute approved workflows.
Diagnose
AI links the issue to asset history, documents, compliance obligations, vendor context, and risk.
Coordinate
Agents prepare vendor messages, request quotes, compare scope, and build an execution packet.
Approve
Humans approve spend, vendor selection, and high-risk actions before anything moves to execution.
Dispatch
Approved work moves to the field with closeout requirements and evidence capture.
Learn
Outcomes update building memory, owner reporting, and future operational decisions.
Human supervised
Policy gates stay in the path for spend, vendor selection, compliance actions, and physical system commands.
From Visibility To Execution
Autonomy is a ladder, not a claim.
01
Visibility
See the true state of compliance, documents, vendors, maintenance, and field work.
02
Coordination
Turn fragmented signals into tasks, assignments, due dates, and evidence requests.
03
Decision support
Rank operational risk and recommend next actions with context.
04
Supervised execution
Move approved work into field, vendor, reporting, and command workflows.
05
Autonomous workflows
Future state: approved operating workflows executed by AI under human oversight.
Category Creation
Autonomous Building Operations
Dashboards show what happened. CMMS tools track tickets. Compliance tools manage checklists. Airwise is building toward something broader: an operating layer where AI agents understand building context and coordinate work across systems, people, documents, vendors, approvals, and decisions that determine NOI.
01
Visibility
02
Coordination
03
Decision Support
04
Supervised Execution
05
Autonomous Workflows
Control Model
Autonomy requires boundaries.
Identity and tenancy
Actions are scoped to portfolio and building context.
Policy gates
High-risk work should pass configured approval requirements.
Evidence and audit
Operational decisions leave records that can be inspected.
Fail closed
Missing critical configuration blocks unsafe production paths.