Government Applications

Process & People Optimization are Systemic Problems

Legacy scheduling systems lack automation, are highly user intensive, and deliver sub-optimal results

  • Require manual analysis of thousands of requirements and variables
  • Typically involve stop-gap systems requiring repetitive inputs resulting in massive time sinks
  • Prone to human error
  • Lack both analytics and insight for strategic vision and planning
  • Inefficient use of assets, human capital, and time leading to unnecessarily short, poor, or reactive decision cycles
  • Personnel and resource waste, errors and mis-utilization leading to significant mission risks

The Problem

$38M+

Cost per year for manual flight & crew scheduling

100 hrs

Per scheduler, per unit, per month

0

Command Insights for Resource Planning

How We Solve the scheduling problem

Introducing Balance Scheduler
Automated Optimization of Human Resources at Scale

Gain the Capacity to Scale & Expand Across Mission Sets

Customized

  • Dramatic increase in personnel satisfaction
  • Better utilized personnel

Fully Automated

  • 20-140 hours reduced to minutes
  • Provides best-fit recommendations for schedule disruptions 

Actionable Insights

  • Balance your personnel, assets, & skillsets
  • Analytics display trends & utilization for strategic planning
  • Proactively manage expiring competencies

Setting Agnostic

  • Eliminates ad hoc, “bespoke” scheduling tools
  • Fulfills edict to “do more with less”

Government System Impacts

Proven Outcomes & Adaptability:

  • Slashed Air Force UAV scheduling from 160 hours/week to 15 minutes
  • Prioritizes personnel well-being, enhancing retention
  • Versatile for any scenario needing tailored scheduling solutions
 
Divers Applications:
 
  • Streamline satellite, radar, cyber, and crew operations
  • Boost efficiency & outcomes in service member training
  • Automate scheduled servicing for on-orbit assets

How It Works

Balance Scheduler uses proprietary AI algorithms to automatically solve multi-goal optimization challenges including shift and task scheduling.

Creates conditions for more informed decisions, larger decision windows, and efficient long term strategic planning as well as shaping long-term risk mitigation and decision support strategies.

  • Automate and optimize legacy processes
  • Automate tracking, planning, and visualization of strategic goals
  • Produce efficiencies of scale
  • Deliver optimal solutions that can ingest more variables and potential outcomes near-instantly
  • Drive a far better user and organizational experience

On-the-fly rescheduling and analytics enables better visualization of capabilities and optimal adaptation in the face of complex shifting environments created by adversaries and other internal and external causes 

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