Winner — Best WHS Training Program, 2026 Hunter Safety Awards

Meet Gentia.

Your workforce, in one intelligent fingerprint.

Gentia continuously connects the signals already inside your organisation
into a live workforce fingerprint. Its AI reasons across that fingerprint
to show where people-related risk is building, what is driving it,
and the action most likely to change the outcome — so you can make better people decisions with precision.

Email us for your Discovery Brief

Opens your email app, addressed to hello@gentia.ai. We reply to arrange a short conversation.

A desktop monitor showing a Gentia psychosocial controls document with the jurisdiction dropdown open, and a phone beside it displaying a manager's workforce checklist

signals → fingerprint → reasoning → decision → action

These aren't just compliance risks.
They're business performance risks.

Psychosocial risks don't stay contained as safety issues. They drive turnover, disengagement, lost productivity and failed change. Gentia identifies where the risks are building and applies the controls that improve both workforce health and business performance.

Poor supportManagers people don't leave
Poor change managementChange agility
Lack of role clarityHigher efficiency
High work demandsSustainable growth

How Gentia knows

Why can't I just use
ChatGPT or Claude?

Most AI is model-first: a general model, guessing at your context.

A general-purpose model tells you what is generally true about psychosocial safety. Gentia tells you what is actually happening in your organisation, what you did about it, and whether it worked — with the evidence attached.

Why is turnover climbing in our two largest divisions?

Reasoning

  • Read 12 months of exit interviews and workforce movements
  • Found experienced practitioners replaced by recent graduates
  • Compared manager load and team mix with smaller, stable divisions
  • Identified rising work demands before they appeared in survey data
  • Modelled where further churn would disrupt critical operations

Answer

Both divisions are showing rising work demands, but not in the usual survey data. Experienced practitioners have been replaced by less experienced hires, leaving managers to absorb more complex work and supervision.

Smaller divisions with similar roles haven't seen the same shift — or the same turnover.

The immediate risk is concentrated in three operationally critical teams. Reducing manager load and restoring experienced capability there is the highest-value control.

Every statement links back to the evidence it came from.

How does Gentia work?

Gentia takes fragmented workforce and operational signals, connects them into an organisation-specific workforce fingerprint, reasons across it with AI, and turns the insight into practical action.

1

Signals

The signals you already have

Gentia reads the workforce and operational information your organisation already produces — from structure, roles and workforce data to surveys, incidents, exits and change activity.

2

Fingerprint

Gentia builds your workforce fingerprint

Each signal becomes part of a connected, organisation-specific picture. On their own, the signals say little. Together, they reveal patterns AI can reason over.

3

Insight

The risk and the reasoning are surfaced

Gentia shows where people-related risk is building, what is driving it, how significant it is, and the evidence behind the finding.

4

Action

The right action goes to the right person

The insight becomes a practical next step — from a control or intervention to targeted coaching for the manager or leader best placed to act.

What Gentia reads

Core Human Resources Information
Talent Acquisition and Recruiting
Total Rewards and Compensation
Talent Management and Engagement
Workforce Management
Business Operations
Workplace Safety Data

From scattered information to a specific action, with the reasoning attached.

Worked example

How does Gentia work out
what's actually going on?

Each step adds one piece of information and one inference. The stack resolves into a specific risk and a specific control. Here's an AI rollout, as an example.

1

The event

A new AI tool is scheduled to go live for a 200-person team in three months. Gentia logs it as a change event. On its own, that's just a project.

2

Rule one thing out

Training is scheduled and funded. So this isn't simply a skills gap — and Gentia stops treating it as one.

3

Add a data point

AI readiness data shows people are already using AI, but checking is inconsistent and rework is common. Adoption is happening faster than good judgment is developing.

4

Add a data point

Role clarity is already low, and team leaders have the widest spans of control in the business. It is unclear who owns the quality of AI-assisted work when it moves between people.

5

Add a data point

Workloads are already high and no time has been created for experimentation or verification. People are being asked to learn, use and check AI while maintaining the same output expectations.

6

The precise risk

AI increases activity, but also rework, checking burden and decision load — compounding high job demands and low role clarity in a team with little capacity to absorb mistakes. Rated: High.

7

The precise control

Not more training. Clarify accountability for AI-assisted work, reduce output expectations during the transition, and create protected time for testing and verification. Re-rate at four weeks.

Where we're inferring, we say so — and we tell you exactly what would confirm it.

A phone screen showing the Leading WELL Coach, where a manager asks how to handle a team member whose performance has slipped, with Coaching, Practice and Advice options open

A leadership coach, meeting a manager with coaching support targeted to reducing psychosocial risks.

Coaching in the flow of work

The fix lands with the manager who owns it.

When Gentia sees a risk building, it doesn't file a report. A coaching agent reaches the manager who owns the fix, with coaching already prepared: what's happening, why it matters, and the next action.

No new dashboard. No new login. The nudge arrives in the flow of the day, sized to fit it, with follow-up tracked so nothing slips.

SEE IT COMING

Detect

Where is risk building?

BEFORE IT HAPPENS

Diagnose

What is driving it?

ACTIVATE CONTROL

Act

What does this manager need to do next?

Who it's for

Who actually uses Gentia?

One finding, three different needs. Same evidence.

Gentia insight

Turnover risk is rising in two divisions. Managers are carrying larger teams and more complex work after experienced roles were replaced with less experienced hires.

THE EXECUTIVE

Where the business is exposed

See where workforce risk is concentrated, what it is costing the organisation, and whether current controls are reducing it.

PEOPLE AND SAFETY TEAMS

What is driving the risk — and what to do next

See which teams are exposed, the conditions driving that exposure, the controls most likely to reduce it, and the evidence behind each finding.

THE MANAGER

What needs attention in my team now

Get the specific action, context and coaching needed to address the risk — in the flow of work, not in another dashboard.

The questions people
bring us

These are the questions organisations actually ask when they come to us. Gentia answers them from the information you already hold.

Why do our change projects keep stalling?

Usually because the same teams are absorbing change after change with no adjustment to workload, role clarity or expectations. Gentia shows which teams are carrying that load, what it's doing to them, and what to change before the next project starts.

Start with a Roadmap

Which of our managers need support before we lose someone?

Gentia identifies where manager capability and manager load are creating risk in a team, names the specific behaviours involved, and puts targeted coaching in front of the people who need it.

See Leading WELL

Are our teams actually ready for the AI tools we've bought?

Adoption metrics tell you who logged in. Gentia shows you where AI is creating genuine value, where it's creating rework and checking burden, and what needs to change around the work for a rollout to land.

See the AI Readiness Experiment

What is turnover actually costing us, and where?

Gentia finds where people are most likely to leave and why, traces it to the working conditions behind it, and puts a specific control in front of the manager who can change them.

Start with a Discovery Brief

Judged on evidence,
not on intent.

Gentia is built on 14+ years of specialist psychosocial safety practice, encoded into the system the AI reasons on. We only claim what the evidence carries — and where we're inferring, we say so.

Winner

Best WHS Training Program, 2026 Hunter Safety Awards

Awarded for Leading WELL, Gentia's leadership program. Judged on evidence, measurable outcomes and the ability to scale.

150

managers completed the program in one deployment

1,500

team members reached through them

3

psychosocial hazards moved down the risk matrix, independently evaluated

10,000+

expert-labelled risk attributes behind every answer

Australian data centres — your data stays in AustraliaPersonal details removed before any AI processingEvery finding traced to its sourceSpecialists sign off material findings

See what's actually happening in your organisation.

Start with a Discovery Brief. A short conversation, plus whatever you already have, and you'll get back a brief on what matters in your organisation, the reasoning behind it, and what it could be costing.

Opens your email app, addressed to hello@gentia.ai. Nothing to prepare. No survey to run. No integrations, and no IT procurement.

FAQ

Common questions about Gentia, answered.

Gentia is a workforce intelligence layer that brings together the signals already inside your organisation to create an early-detection fingerprint of people-related risk. It shows where turnover and psychosocial risk are building, what is driving them, and what action will have the greatest impact — so leaders can make better people decisions, earlier.

Psychosocial risk is the risk to people that comes from how work is designed, organised and led — things like workload, role clarity, support, change and recognition. Under Australian WHS law, organisations must identify and control these risks the same way they control physical ones. Left uncontrolled, they show up commercially as turnover, absence, stalled change and lost productivity.

A general-purpose model tells you what is generally true about psychosocial safety. Gentia tells you what is actually happening in your organisation, what you did about it, and whether it worked — with the evidence attached. General models are trained on the public internet and have no access to your structures, your roles, your controls or your history. Gentia reasons over two things a general model doesn't have: an expert dataset built by psychosocial safety specialists and mapped to Australian WHS law, and a model of your own organisation built from information you already hold. Every answer traces back to the evidence it came from, and specialists validate material findings before they're relied on.

Gentia is built for organisations with frontline or complex workforces — distributed teams, high-pressure work, layered reporting lines. Inside those organisations it's used at three levels: executives who need to know what risk is costing, people and safety teams who manage it, and the managers who act on it.

No. Gentia sits on top of the systems you already use. Your engagement tools, training, incident reporting and risk register all stay where they are. Gentia becomes the layer that connects them, and it gets more accurate with everything you add.

No. Gentia starts with information your organisation already holds. Consultation — conversational interviews, check-ins and assessments — is part of what Gentia does and often follows, but it isn't required to begin.

Days rather than months. A Discovery Brief needs a short conversation and whatever you already have. The Roadmap, where most organisations start, takes three to four weeks and around two to three hours of your time. No integrations and no IT procurement are required to begin.

No. Gentia reasons over aggregate patterns at role, team and unit level. Personal details are removed before any AI processing. It's designed to surface risks in how work is designed and led — not to monitor, score or profile individual people.

All data is stored and processed in accredited Microsoft Azure data centres located in Australia. Your data is not transferred offshore.

No. Your information is never used to train public or third-party models. Learning improves your own organisation's knowledge layers only.

Yes. Every material finding carries citations to its source and a visible reasoning path back to the evidence it was built from. Specialists validate material findings before they're relied on. There are no black-box outputs.

Gentia is priced on the scope of the deployment. The Roadmap, Leading WELL and the AI Readiness Experiment can each be taken on their own, or as part of a full Gentia subscription. Start with a Discovery Brief and we'll scope from what it finds.