The structure of a building under construction seen from above

Projects and properties, under control.

Agents that control site purchasing and budgets, manage property maintenance and anticipate cost and schedule overruns.

3 scenarios · Construction and real estate Scroll

Operations today

On a job site, overruns show up late because the data arrives late.

Purchasing, progress and payments live in separate spreadsheets. By the time the budget is reviewed, the overrun has already happened.

01

Uncontrolled purchasing

Requisitions and quotes by email, never checked against the budget.

02

Slow payments

Supplier and subcontractor invoices waiting on approvals and backup.

03

Maintenance over WhatsApp

Tenant requests lost between messages and calls.

04

Late overruns

Cost and schedule overruns spotted at month-end close.

Scenarios

Three processes an agent can run today.

Every scenario starts from a real process and is adapted to your rules and systems in the Binaria Scan.

Scenario 01
Site purchasing agentActive
  • 07:15Received 12 material requisitions from 3 sites
  • 07:17Compared quotes and checked them against the budget by line item
  • 07:18Sent 2 over-budget purchases for approval
  • 16:00Scheduled payments to 9 suppliers with matching invoice and receipt
Construction and real estateSite purchasing agent

Site purchasing and budget control with automated payments

The problem. A builder with several sites receives requisitions by email and WhatsApp, collects quotes by hand and pays invoices without matching them to what arrived on site. The budget is updated at month-end, after the overrun.

  1. 1Receives site requisitions and supplier quotes.
  2. 2Validates each purchase against the line-item budget and progress.
  3. 3Matches invoice, purchase order and site receipt.
  4. 4Schedules approved payments in online banking.
Connects withERPProject controlsOnline bankingWhatsApp Business
Expected impact
100%of purchases checked against budget
−50%payment cycle time
Dailybudget update per site
Scenario 02
Maintenance agentActive
  • 21:40Received a photo of a leak in apartment 12B
  • 21:41Classified the request as urgent plumbing
  • 21:42Assigned the on-call technician and confirmed with the tenant
  • 09:30Closed the work order with photos and the logged cost
Construction and real estateMaintenance agent

Tenant maintenance requests

The problem. A property manager receives maintenance requests via WhatsApp, email and calls. They get lost or duplicated, and nobody knows how long each repair takes or what it costs per property.

  1. 1Receives requests via WhatsApp with photos, audio or text.
  2. 2Classifies type, urgency and property.
  3. 3Assigns the available technician or vendor and confirms with the tenant.
  4. 4Closes the work order with evidence, cost and tenant satisfaction.
Connects withWhatsApp BusinessProperty systemEmailERP
Expected impact
<2 minto log and assign
−40%time to resolution
100%of requests fully traceable
Scenario 03
Project risk modelActive
  • 06:00Updated progress, purchasing and labor for 5 sites
  • 06:02Compared each site with 40 similar past projects
  • 06:03Forecast a 7% overrun on finishes at Torre Norte
  • 06:04Sent the alert and likely causes to the project manager
Construction and real estateProject risk model

Predictive model for project cost and schedule

The problem. The builder learns about cost and schedule overruns at month-end close. By then, the decisions that could have prevented them are no longer available.

  1. 1Learns from past projects: costs, timelines, suppliers and weather.
  2. 2Monitors progress, purchasing and labor on every active site.
  3. 3Forecasts the most likely final cost and completion date.
  4. 4Alerts the manager with the line items at risk and their causes.
Connects withProject controlsERPScheduleExcel
Expected impact
4–6 wksearly warning on overruns
Weeklycost and schedule forecast per site
By line itemcauses identified

Implemented cases

Results measured in real operations.

We will soon publish cases with verified figures alongside the teams that use them.

Coming soon

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We are measuring results with the teams that use our agents. Each case will be published with its baseline and the result achieved.

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