See how JLAS reasons through a decision.
Watch the two-minute walkthrough, then try it yourself below. Pick a scenario: JLAS lays out the resources and constraints, compares the feasible options, and shows what would change its recommendation. Then you decide.
Read the transcript
This is JLAS, the Joint Logistics Artificial Intelligence System, from Praevian Solutions.
When parts are scarce and missions compete, logistics staffs still decide who gets what by hand. Here, three task forces need 36 repair parts. Only 21 are available, and lift is limited. One click runs the analysis.
JLAS checks all 1.3 million possible plans, and returns the guaranteed best in milliseconds: fully equip Task Force IRON, partly equip Task Force SABER, and hold Task Force TITAN. Green means the priority call is clear. A person still makes the decision.
It's not a black box: this plan is 4.6 percent ahead of any different priority call. JLAS also finds the tipping points. Lose just two powertrain modules, and Task Force TITAN moves ahead of Task Force SABER. Commanders see the risk before they commit.
JLAS recommends, but it can't approve itself. Here, an observer tries to accept the plan… and the system refuses. Authority is checked on the server, against a signed identity. An authorized reviewer accepts. The record carries their verified identity and role, and nothing is executed.
Every decision goes into a tamper-evident audit log that evaluators can verify and export.
JLAS bridges the gap between AI autonomy and human-in-the-loop decision making: machine speed for the analysis, human authority for every decision. Learn more at praeviansolutions.com.
Narration is AI-generated. All units, parts and quantities are synthetic and unclassified.
Loading…
Resources available
Hard constraints
Courses of action compared
Your decision
What the colors mean.
Preferred for review
Feasible and clearly ahead of the alternatives. Never an automatic approval.
Feasible alternative
Feasible, but close, sensitive, lower-ranked or carrying a warning worth attention.
Not feasible
Breaks a hard constraint. JLAS reports it rather than inventing an answer.
All scenarios, quantities, times, risk labels and scores on this page are illustrative synthetic values that explain the JLAS decision process. They are not operational performance claims or government validation.