PROBIS AI Labs is where agentic AI meets governed project data. Five capabilities, each named for what it does, each built to keep human decision-making at the center—from the initial calculation to the final report.
Every figure is checked against the budget, contract, and forecast before it is assigned to a person.
Dashboards generated automatically from live project data; nothing is compiled manually.
Not just another generic “AI-powered platform.” Each module below is named based on exactly what it does, throughout the cost lifecycle.
Upload a BIM model, a contract, or a scanned cost estimate. AI extracts the quantities and cost data that a person would otherwise have to extract manually.
Ask a question, get a quantity takeoff from a BIM model in minutes—no BIM coordinator needed to perform a plausibility check.
No one compiles this report manually. An agent retrieves live project data, builds the dashboard, and keeps it up to date—generated on demand, never out of date.
A lender requests a portfolio overview. AI generates the dashboard in minutes instead of the days it used to take.
Describe the report you need in plain language and specify the projects and data sources that matter—cost plans, contracts, and invoices. AI builds it from scratch, ready to send. Once created, it stays active: the report updates automatically as soon as new data comes in.
A controller generates a monthly variance report across three projects once. From then on, it updates itself every time new cost data is received—always up to date, never recalculated.
Incoming costs are checked against your cost structure and contract packages, and then assigned—without anyone having to manually copy numbers between systems.
A new invoice arrives. AI matches it to the correct budget line and contract package before the month-end close.
Incoming invoices are checked against purchase orders and contract terms. Discrepancies are flagged as claims before they are paid, not after.
An invoice arrives that does not match the agreed-upon contract terms. AI flags the discrepancy as a claim before it is paid, not after.
Early indicators related to cost, schedule, and risk are identified while there is still time to take action, not after the reporting cycle has ended.
A project is on track to exceed its budget three months from now. AI flags this probability early on, while there is still budget flexibility to take action, rather than after the variance appears in a report.
Every AI Labs module is designed around a role, not a generic user.
Cost overruns discovered too late, fragmented spreadsheet reporting, and no real-time view across projects.
Opaque project financials, delayed visibility into budget variances, and manual monitoring across dozens of projects.
Manually compiling status reports, fragmented data across tools, and no way to display real-time status.
AI Labs is designed for organizations that cannot afford compliance gaps. Nothing here replaces the person who approves the decision—it simply eliminates the manual work that stands between them and a decision.
You don't need all five modules at once. Most teams start with one.
Deploy one AI Labs module to a live project within weeks—no integration project required.
Tell us which workflow takes up the most of your team's time. We'll build the module around it.
Choose one—Calculate, Control, Detect, or Decide—and test it on its own before expanding.
Compare your data with more than 1,000 projects already on the platform.
No generic demo. Bring a real cost plan or a real change order and see what AI Labs does with it.
