Investors
Operational stability infrastructure for invisible frontline risk.
Echo turns short voice check-ins into live risk signal, control actions, and board-grade evidence before psychosocial, fatigue, morale, or team-friction risks become incidents, claims, churn, or downtime.
This is not wellbeing tech. It is operational stability tech for the risks the current control stack cannot see.
The Real Problem
Psychosocial data is the tip of a much larger iceberg.
Frontline organisations already manage visible hazards with controls, standards, permits, escalation paths, and assurance routines. The invisible risks still run on gut feel: fatigue, conflict, overload, isolation, and loss of control.
Those risks surface operationally as missed handovers, poor judgement, rework, absenteeism, unsafe adaptation, attrition, claims, and downtime. The claim numbers show urgency. Operational stability is the larger prize.
Fatigue
below the waterline
Goal conflict
below the waterline
Roster strain
below the waterline
Isolation
below the waterline
Cognitive overload
below the waterline
Team friction
below the waterline
Loss of control
below the waterline
Unsafe adaptation
below the waterline
Urgency Signal
The regulator-visible edge is already expensive.
Psychosocial injury data is the visible edge of the invisible-risk category: legally material, economically compounding, and still largely unmanaged by active controls.
+161%
growth in psychological injury claims over the past decade
38%
of total workers compensation cost from only 12% of claims
$67,400
median payout per psychological injury claim
35.7 weeks
median time lost per claim
$1.19B
annual direct compensation cost in Australia
Safe Work Australia index
Index of serious claims by nature — 2013–14 to 2023–24p
The Control Gap
The current stack was not built to operate as a live control.
Surveys
Administrative signal that arrives after risk has already moved through the operation.
EAPs
Necessary care pathway, but downstream from detection and control.
Consultants
Point-in-time assessment when the exposure is continuous.
Policies
Evidence of intent, not proof that a control operated this week.
Market Scale
Operational risk budget, not HR budget.
Echo does not need to win the wellbeing software budget. It sits where safety, insurance, compliance, workforce continuity, and operational risk already carry executive attention.
2.7B
deskless workers globally
140-180M
developed-market frontline and high-risk workers
US$5-6T
annual payroll tied to these roles
40-60k
employers with 500+ frontline staff
Why Now
Three forces make invisible risk controllable now.
Legal duty
Psychosocial hazards now require active control.
Policies and awareness training do not prove that risk was identified, assessed, controlled, and reviewed.
Economic pressure
Claims, premiums, downtime, and churn are compounding.
The cost shows up in compensation files, but the operational bleed starts earlier in the shift, roster, and team.
Interface shift
Voice AI makes continuous frontline signal capture viable.
The phone call reaches workers where forms, dashboards, passwords, and apps fail.
Why Echo Can Become Infrastructure
The product is the control loop, not the screen.
Embeds into controls
Echo is designed to feed risk registers, SOPs, standards, policies, board assurance, and supervisor routines.
Voice-first anti-software
The interface is a phone call, so signal can reach workforces where app adoption fails.
Evidence trail
The value is proof that controls operated, not another dashboard that asks leaders to remember.
Privacy boundary
Echo is a filter, not a microphone: workers keep control while leaders receive protected signal.
Scientific mechanism
Psychosocial Control Theory links stress, fatigue, friction, and adaptation to loss of control and goal conflict.
Compounding data
Every signal, action, and outcome improves benchmarks for invisible operational risk.
Team
Operators, engineers, and control-theory depth.
Two full-time co-founders, senior advisors, and an operating model built for AI-native leverage. Echo is being built by people who understand frontline operations, real-time systems, behavioural science, and enterprise risk governance.
Meet the full teamFounder / CPO
Fletch Young
Ex-Uber WA operations, BHP mining and metallurgy, enterprise healthcare AI strategy. Engineering and science background; LBS MBA.
Founding CTO
Leonardo Fernandez Sanchez
Ex-McKinsey Digital and Unilever Digital Ventures. Built high-throughput, real-time systems where reliability and operational simplicity matter.
Psychology Advisor
Prof. Warren Mansell
Global authority on Perceptual Control Theory. Guides Echo’s psychological model strategy and intervention logic.
Commercial Advisor
Mark Heath
Ex-Goldman Sachs investment banking and Uber ANZ leadership. Brings capital, operating, and scale-up discipline.
Investor Memo Prelude
This page is intentionally incomplete.
The full investor memo covers the business model, milestones, financing plan, product architecture, and category thesis. This page exists to show the category: invisible risk becoming operational control.