AI Facilities Management That Supports Your Team
Proxima uses AI to reduce the manual effort of running buildings — finding records, summarising what is happening and spotting patterns — for FM, property and community teams in the UAE and GCC.
Where manual effort piles up
- Engineers searching folders and inboxes for a manual or last service report
- Managers reading dozens of tickets to understand what is really going on
- The same fault being fixed repeatedly without anyone connecting the dots
- Weekly and monthly reports written from scratch
- Knowledge leaving the building when experienced staff move on
AI on top of a structured operating record
Proxima's AI works from the same connected record your team uses — assets, work orders, complaints, documents and, where available, building system data — so its answers can be traced back to source records.
- Plain-language questions answered from your building records
- Summaries of open work, overdue PPM and escalating complaints
- Recurring-issue detection by asset, location or contractor
- Draft reports and notes for a person to review before sharing
AI capabilities in the platform direction
Record search
Ask for a warranty, a certificate or the last chiller service in plain words.
Operational summaries
A readable picture of the week across buildings and teams.
Pattern detection
Repeated faults and complaint clusters surfaced for review.
Complaint triage
Suggested category and priority for incoming requests.
Report drafting
First drafts of board and management updates from live data.
Decision support
Evidence gathered in one place before a repair-or-replace call.
Who benefits
- Facility managers overseeing several buildings or contracts
- Community and OA managers preparing reports for boards
- Engineers who need history and documents at the point of work
- Leadership teams wanting a clear, honest view of operations
How AI fits the daily routine
- Step 1
Record
Work, complaints and documents are captured in a structured way.
- Step 2
Ask
Team members search or request a summary in plain language.
- Step 3
Review
AI output links to the source records for a person to check.
- Step 4
Act
The team decides and the action is recorded back on the record.
Why this approach matters
- Less time spent finding information and writing routine reports
- Problems noticed earlier because patterns are surfaced
- Institutional knowledge kept in the record, not in people's heads
- Clear human accountability for every decision
Common questions
What does AI actually do in Proxima?
It is designed to search building records in plain language, summarise open work and complaints, highlight repeated faults on the same asset and draft reports — always working from your own operational data.
Does the AI make maintenance or compliance decisions?
No. AI supports people; it does not replace engineering judgement, contractual responsibility or compliance obligations. Suggestions are presented for a person to review and act on.
Do we need clean data before using AI?
Better-structured data gives better results. That is why Proxima starts with a structured record of assets, work and documents — the AI features build on that record rather than on scattered files.
Can AI help with older buildings?
Yes. Much of the value comes from maintenance history, complaints and documents, which older buildings have in abundance. Sensor data is helpful but not required.
Which AI features are available today?
AI capabilities are being introduced progressively. During a demo we show what is available now and what is on the roadmap, so expectations are clear before any commitment.
See how AI could support your building operations
Book a walkthrough and we will show how Proxima can fit your portfolio, your team structure and your reporting needs.