Boards approve outcomes, not software
Practical guidance from the people who spoke at Time, Reclaimed, what 140 home care leaders told us in our Pulse 2026 survey, and a scorecard you can take to your next board meeting.
Free, no sign-up. 32 pages. Share it with your team.
Register for Time, reclaimed
What's inside?
Where the sector is
Budget pressure, tech investment and what operators are asking software to do next.
The business case
AI in care vs AI on care, the five outcomes boards will fund, and a 90-day way to prove it.
Making it real
What the panel learned operationalising AI, a time audit worksheet, and the people side of adoption.
Governing it well
What the Aged Care Act 2024, the strengthened Quality Standards and the Privacy Act ask of you, plus a scored go/no-go scorecard.
How Lookout does it
Where AI shows up across Lookout today, scored against our own scorecard.
Ten things to take away
01
Boards approve outcomes, not software. Lead the business case with the outcome you'll measure.
02
Know where your team's time goes before you pick where AI starts.
03
Don't just deploy AI. Build an organisation that gets better because of it.
Time audit worksheet
Map a week of operator time, then circle the work AI could take off your team first.
12-question go/no-go scorecard
Score any AI initiative against governance, outcomes and readiness before it reaches your board.
Guidelines for the Responsible Use of Generative AI in Aged Care
A free resource developed by the AI Adoption in Aged Care Workgroup and MCCSA.
A guidelines template (Word, updated June 2026) that providers can adapt into their own internal guidelines for using generative AI in tasks like admin, client communication and report writing. It sets out staff responsibilities when choosing and using AI tools, and is meant to be used alongside an internal AI policy.
An implementation guide (PDF) that walks through four stages: tailoring the guidelines to your services, workshopping them with staff, formalising them into policy, and ongoing monitoring and review.
Ageing reframed
Ageing Reframed is a national MCCSA initiative on innovation in ageing and aged care, with a focus on designing for the full range of older Australians. It includes a free weekly newsletter, online panels with universities and sector organisations, and interviews, field notes and case studies.
What 140 home care leaders told us
4.71
/5
Tech and digital is the C-suite's #1 investment priority
4.00
/5
AI sits firmly on the investment agenda
#1
Budget tracking accuracy, at every org size
Small, mid and large providers alike (4.30–4.50)
#2
Associated provider management, for the C-suite
10.5%
of operational wishlist answers raised AI without being asked
Investment priorities ranked
Mean score out of 5 · C-suite respondents
Tech and digital
4.71
AI
4.00
See it working
Short, self-guided walkthroughs of where AI already does the work inside Lookout. No login, no sales call.
Budget utilisation
Live and projected budget balances for every client, so operators see under-utilisation coming and act early.
[2 min], self-guided
Care planner agent
Lookout Assist drafts care plan updates for care partners to review, so planning time goes back to clients.
[2 min], self-guided
Lookout Assist overview
Where Lookout Assist already does the work across operational, financial andclinical workflows.
[2 min], self-guided
A day back
One coordinator's day in Lookout, and the hours that come back when the admin is done for them.
[2 min], self-guided
From the panel
The P&L will benefit when your organisation can grow with increased demand without adding new admin staff to take on more manual work.
We deliberately haven’t built a big three-year AI roadmap. The technology is moving too fast for that. Instead, we’re starting with practical use cases, proving the value and learning as we go.
The goal isn’t an AI that learns autonomously. It’s an organisation that learns continuously.
The P&L will benefit when your organisation can grow with increased demand without adding new admin staff to take on more manual work.
We deliberately haven’t built a big three-year AI roadmap. The technology is moving too fast for that. Instead, we’re starting with practical use cases, proving the value and learning as we go.
The goal isn’t an AI that learns autonomously. It’s an organisation that learns continuously.
Work out where your time goes
Bring the scorecard, or just a question. We'll walk through where AI could take work off your team first, and what it would take to govern it well.
Prefer to pick a time?
Choose a slot in the calendar
