Property and project tools diverge
Asset, property, development, estimating, field, engineering, and corporate teams can adopt different assistants and models.
Real estate + construction
AI already spans properties and projects. Can you account for it?
Proxon gives asset, property, project, estimating, risk, IT, and finance teams one shared record of observed and registered AI systems, attributable adoption where identity is available, registered workflows, and available spend context.
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The control gap
AI adoption is moving faster than the property and project record.
Real-estate teams and construction organizations use AI across documents, research, estimating support, project controls, field coordination, software, and corporate operations. The surrounding records often stay separated.
Responsibility changes by project
Owners, operators, contractors, risk teams, IT, legal, procurement, and finance each need a different view of the work.
Spend crosses entities and programs
Subscriptions, model usage, and shared platforms create cost trails that do not automatically carry property, project, or workflow context.
The management layer
One operating view of observed and registered AI
Proxon brings the records behind observed AI adoption, registered systems and workflows, and captured or provider-reported spend into one product. Each function can use the view its responsibilities require.
AI tools, models, agents, and connected services
Bring observed activity and registered systems into a shared inventory, with providers and data sources recorded alongside them when that context exists.
Attributable usage across the organization
Where identity is available, compare observed adoption across people, teams, and departments without turning presence into a performance judgment.
AI spend with organizational context
Review captured and provider-reported spend by provider, model, department, team, and registered workflow when that context is available.
Registered use cases and outcome signals
Keep registered workflows and their curated or reported outcome signals alongside the systems and teams involved in the work.
Shared asset and project model
One AI record across properties and projects
Connect real-estate operations and construction projects through the same record of observed activity, registered workflows, attributable adoption, and available spend context.
Asset and property teams
Understand which observed and registered AI systems support property research, operations, tenant work, and asset management.
Development, estimating, and project teams
Keep registered workflows, tools, models, and available usage context connected across project work.
Risk, safety, legal, and IT
Bring current evidence into vendor, information-security, contract, and operating reviews.
Finance and procurement
Review available spend context across providers, models, teams, and registered workflows before commitments are set.
Where AI enters property and project work
One estate across real estate and construction
Keep property and project workflows visible together while accountable teams retain the valuation, contract, safety, and operating decisions they already own.
Property and market research
Research, summaries, portfolio materials, and meeting preparation
Lease and document work
Document review support, clause research, drafting, and comparison preparation
Estimating and bid support
Scope review, bid preparation, research, summaries, and handoffs
Project controls and field coordination
RFIs, submittals, meeting summaries, action tracking, and reporting preparation
Resident and tenant operations
Service support, knowledge retrieval, communications, and quality review
Engineering and corporate systems
Code assistants, incident analysis, finance, procurement, and internal support
Proxon manages the layer around this work: observed and registered AI systems, attributable adoption where identity exists, registered workflows, and spend where context is available. Property and project owners remain responsible for valuation, contracts, permitting, safety, construction, and operating decisions.
The operating view
Answer the questions behind property and project reviews
Connect observed adoption, available spend context, and registered workflow signals without treating activity as proof of project performance, valuation, safety, or quality.
Adoption
See where AI is becoming part of property and project work
Where identity exists, compare observed adoption across people, teams, and departments so enablement can respond to uneven uptake.
Cost intelligence
Give operating teams and finance shared spend context
Review captured and provider-reported spend by provider, model, team, and registered workflow when those dimensions are available.
Workflow outcomes
Review reported signals beside registered property and project work
Keep curated or reported outcome signals connected to adoption and cost while asset and project owners retain decision responsibility.
Bring properties and projects into view
Bring one AI operating record to the next asset, project, or budget review.
See observed and registered systems, attributable adoption, registered workflows, and available spend context across real estate and construction.
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