ARBI.
Enterprise · executive control tower

Where should I focus?

The decisions that matter most across the enterprise, and the synthetic subsidiaries behind them.

Decision queue · what needs attention

Pending decisions across the enterprise, ranked by value at risk. The highest-value open decision is your recommended next workspace.

mining
High
Production Growth Risk
$55M at risk
Owner: COO + CHRODue: Q3 2026
Start here
energy
High
Asset Reliability Risk
$48M at risk
Owner: COO + CHRODue: Q3 2026
Open decision
logistics
High
Last-Mile Revenue Risk
$42M at risk
Owner: COO + CHRODue: Q3 2026
Open decision
manufacturing
Elevated
Factory Productivity Risk
$38M at risk
Owner: COO + Plant LeadershipDue: Q3 2026
Open decision
All decisions →Test scenarios →Review trust →
Reference subsidiaries
Helios Group plc
Helios Logistics
Last-mile logistics & delivery
18,400
Employees
11,200
Drivers
62
Depots
5
Regions
Read the story
Enterprise Coverage

Platform coverage across industries

ARBI now spans multiple industries — each a full intelligence pack. Switch industry in the header to re-frame the graph, advisor, simulation and trust.

Industries
4
Objects
60
Sources
19
Frameworks
18
Scenarios
32
Executive stories
4
Logistics
Last-mile logistics workforce intelligence.
Revenue Risk
Mining
Mining operations workforce intelligence.
Production Risk
Energy
Energy reliability workforce intelligence.
Asset Reliability Risk
Manufacturing
Manufacturing productivity workforce intelligence.
Productivity Risk
Executive story · Logistics

Protecting last-mile revenue from workforce instability

How do we protect last-mile revenue from workforce instability?

Driver Attrition→Schedule Instability Drives Attrition→Revenue Exposure→Workforce Optimization→Human + AI Logistics→Revenue Protected
Executive journeys · Logistics · 20 in library

CEO journey · Logistics

What is at stake and what should we decide? · read through the executive lens.

  1. 1
    Start with reality · Driver Attrition
    What does Driver Attrition tell us?
  2. 2
    Size the exposure · Revenue Exposure
    How big is Revenue Exposure?
  3. 3
    Choose the move · Workforce Optimization
    Is Workforce Optimization the right decision?
  4. 4
    Model the future · Human + AI Logistics
    What does Human + AI Logistics project?
  5. 5
    Confirm the outcome · Revenue Protected
    Does Revenue Protected hold up?
Cross-industry intelligence
Industry A
Industry B
Similarities
  • • Both run on the same ARBI object ontology (reality → outcome).
  • • Both treat workforce instability as the root driver of business risk.
  • • Both protect value through capability, scheduling and human+AI augmentation.
Differences
  • • Mining centres on Production Exposure; Energy on Asset Reliability Exposure.
  • • Mining transforms toward Autonomous Mining; Energy toward AI-Augmented Operations.
  • • Exposure baselines differ ($55.0M vs $48.0M).
Workforce drivers
  • • Mining: Critical Operator Vacancy → Operator Shortage Limits Production.
  • • Energy: Critical Capability Gap → Capability Constraints Threaten Reliability.
Business outcomes
  • • Mining protects Production Protected.
  • • Energy protects Reliability Improved.