AI Automation
Order from the data you already have
The data is already there. We unify it in one system and automate around it—in weeks, not quarters.
The operating picture
What your team sees on Monday morning
Doors operational
98.6%
+0.4 ptvs last month
Across every centre, checked continuously
Lift uptime
97.2%
-0.8 ptagainst 98% target
Below target, and the panel says which sites
Critical incidents open
7
of ~100raised each month
Only what breaches threshold reaches a person
Mean time to repair
31 h
-6 hvs last month
From first report to a verified fix
Incidents resolved
Rolling six months
MarAprMayJunJulAug
| Mar | 64 |
|---|---|
| Apr | 71 |
| May | 78 |
| Jun | 86 |
| Jul | 92 |
| Aug | 104 |
Exceptions that still need a person
| Reference | Source | What is wrong | Status |
|---|---|---|---|
| SITE-092 | WhatsApp report | Door fault reported twice from one centre | Open |
| LIFT-014 | Maintenance platform | Third lift failure this month at the same site | In review |
| SITE-071 | Supplier portal | Repair closed without a verification photo | Resolved |
Illustrative dashboard. The figures show the shape of the operating picture we build, not results from a named client.
How it works
Three stages, without replacing what you already have
- Ingest
Whatever you already have
- Spreadsheets nobody trusts but everybody uses
- The group chat where the real status lives
- Inboxes holding the only copy of an approval
- Contracts, invoices and scanned site reports
- Structure
Built so everything lines up
- Pull the fields that matter out of free text
- Remove duplicates against what you already hold
- Flag what does not reconcile before the error spreads
- Send each exception to the person who owns it
- Act
Something you can act on
- The operating picture, refreshed automatically
- Only the exceptions, and only to the right people
- Who changed what, and when
- One system the whole team can rely on
AI Automation
Where we work
The data is already there. We unify it in one system and automate around it—in weeks, not quarters.
AI Automation
Tell us where the manual work is.
A short call is usually enough to know whether there is something here worth building.