AI that creates lasting impact for the health economy.

We help healthcare organisations audit, build, and embed AI. No hype. No waste. Just results that stick.

The case for action

The window is closing.

12%
Australia is falling behind
Only 12% of Australian organisations say AI is transforming their business, compared to 25% globally. The gap is widening, not closing.
Deloitte, State of AI in the Enterprise, 2026
3.4%
AI is reshaping SMEs
AI adoption could add up to 3.4 percentage points to annual productivity growth for small and mid-sized businesses. That's roughly double the baseline rate.
McKinsey Global Institute
$150B
Healthcare is next
AI applications could save the healthcare system US$150 billion annually. Healthcare generates a third of the world's data, yet remains one of the least digitised sectors.
Accenture & McKinsey
What we do

Services built
for your stage.

Every organisation is at a different stage with AI. Our three services meet you where you are and move you forward.

01
Audit
2-week diagnostic
Know where you stand before you invest.
02
Build
8–12 week build
From whiteboard to working software.
03
Train
Ongoing enablement
Capability that stays when we leave.
Our rapid assessment framework
We evaluate readiness across four interconnected pillars. Strength in all four is what separates successful deployments from expensive experiments.
85%
of AI projects fail to deliver intended outcomes without structured planning.
Gartner
70%
of AI failures trace to people and process gaps, not the technology.
BCG
01
Use cases & value
Where AI creates measurable value in your workflows, scored by impact and feasibility.
02
Data & tech infrastructure
Whether your data and tech stack can power AI reliably and at scale.
03
People & change readiness
Appetite, capacity, and skills to adopt AI across your organisation, plus the gaps to close first.
04
Governance & risk
Data governance, privacy, ethics, and risk frameworks for responsible AI deployment.
We help you pick the highest-impact use cases from your audit, then build and ship them into production.
Auto-extract & classify incoming GP referrals
Summarise patient progress notes for handover
Auto-generate AN-ACC funding evidence packsBuild & scale
Flag high-risk residents from daily vitals
Draft family communication updates from care notes
Triage & route incoming patient enquiriesBuild & scale
Auto-populate compliance reports from source systems
Search clinical policies using natural language
Predict appointment no-shows for proactive outreach
Typical build timeline
Weeks 1–2Architecture & design
Weeks 3–7Build & test
Weeks 8–10Deploy & handover
63%
of organisations that built AI for cost reduction saw an unexpected revenue boost.
McKinsey Global Survey on AI
3x
Organisations scoring above 70% on AI readiness are 3x more likely to implement AI successfully within 12 months.Deloitte
01
Executive AI briefing
Strategic session for leadership. What AI can do, where it fits, and how to govern it.
2 hours · In person or virtual
02
Team workshop
Hands-on training with the AI tools your team will actually use. Practical skills, not theory.
Half or full day · Facilitated
03
Custom-tailored training
Built around your tools, workflows, and goals. From onboarding tracks to department-wide rollouts.
Scope & duration tailored to you
See examples of our work
Industries we serve

Focused on healthcare.
Nothing else.

We work exclusively in healthcare. We already know your compliance landscape, workflows, and constraints.

01
Allied health

Helping clinicians and allied health practitioners cut through admin so they can spend more time on what matters: patient care.

02
Aged care

Supporting aged care providers to streamline operations, improve resident outcomes, and meet reform requirements with AI that actually works.

03
Traditional clinics

Enabling GPs, specialists, and multi-disciplinary clinics to automate referrals, documentation, and patient communication at scale.

04
NDIS providers

Helping NDIS providers reduce plan management overhead, streamline reporting, and free up coordinators to focus on participant outcomes.

The team

Our team.

You work directly with the people who built common labs. No handoffs, no layers.

Sepehr Tahmasebi
Sepehr Tahmasebi
Technical Lead

Sepehr spent nearly three years at McKinsey, helping Asia-Pacific's largest organisations navigate the strategic challenges posed by AI. Now he turns that into practical builds for healthcare.

Julian Ou
Julian Ou
Go-to-Market

Julian spent two years at Kearney advising CEOs and boards across the region. More recently he's been independently advising healthcare companies on strategy and AI readiness.

Contact

Let's collaborate.

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