Alaska Airlines / Overview
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AK
Demonstration environment — all organisational, survey and safety data shown are synthetic and are not actual Alaska Airlines operational or safety data.
Alaska Airlines Boeing 737 aircraft
OSES-AI · SAFETY INTELLIGENCE

Every voice. A safer journey.

Listen to your people. Understand the signals. Act with confidence.

Photo: Tony Hisgett · CC BY 2.0
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What can OSES-AI help you understand?

Ask a management question or open one of the core survey workflows.

Executive Safety Dashboard

From employee voice to predictive safety intelligence

Detect weak organisational signals early, understand why they matter, and turn insight into measurable improvement.

Synthetic demonstration data
Organisational Safety Health Index i
3.70/ 5Stable — weak signals emerging
Previous 3.73↗ -0.03 changeBenchmark 3.84
Early warning signals

1 active patterns

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Safety intelligence lifecycle
◉Listen
◫Analyse
⌁Detect
✦Explain
✓Act
↗Measure
◆Improve

OSES-AI connects evidence, patterns, risk, management action and future measurement in one closed loop.

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Participation rate87.4%512 of 586 invited
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High-risk dimensions0Management review required
↗
Strongest dimensionMaintenance Specific (MAINT)3.92 / 5
◎
Corrective actions32 in progress
Current vs previous cycle

Where the organisation changed

Workload and Fatigue Management (WFM)
3.16-0.32
Maintenance Specific (MAINT)
3.92+0.22
Safety Information Management (SIM)
3.58-0.21
Organizational Effectiveness (ORG)
3.63-0.08
Safety Supervision / Management (SSM)
3.81+0.07
Management focus

What should happen next

1
Protect decision quality under schedule pressure

Review peak-period workload triggers across Ground Operations, Dispatch and Engineering.

2
Close the safety reporting feedback loop

Create a visible 30-day response and closure communication standard.

3
Scale improved refresher training

Use the strongest 2026 improvement as a repeatable learning pattern.