AI
Value doesn’t come from simply adding AI on top of the way you already work. You first need to create the right conditions. Our people-first approach helps you build those conditions.
AI adoption
Value comes from three streams that reinforce each other
AI enablement: Build the foundations that enable AI to deliver real value
Make the ‘why’ and strategy clear, then organise to execute. Create a safe space to experiment within appropriate guardrails, and build the skills and platforms that will make it stick.
AI implementation: Implement AI solutions that solve real problems at scale
Create a rapid, repeatable and user-centred way to turn opportunities into AI solutions that people actually use and that work at scale.
AI usage: Empowered staff use approved AI tools to improve how they work
People throughout the organisation use AI in their daily work, experiment with better ways of working, and share what they learn. Good ideas are picked up by the AI implementation stream so they can be scaled.
Leadership, change management, and measurement and learning run through all three streams.
Our AI framework
AI enablement: Build the foundations that enable AI to deliver real value.
The ‘why’ is clear and there is an AI strategy aligned to organisational vision and strategy.
The organisation’s operating model leverages AI to execute strategy more effectively.
Organisational culture creates alignment, drives out fear and supports continuous learning.
There are agreed standards for safe, responsible and accountable use of AI.
Leaders and staff have the knowledge and skills to use AI well.
There is a cross-functional AI enablement team with the authority to drive change.
The platforms, data and tools needed for AI are fit for purpose.
AI implementation: Implement AI solutions that solve real problems at scale*
Opportunities are defined by the value they create and their link to strategy, not by the technology available.
Opportunities from strategy, discovery and everyday use of AI are captured in one place.
Product and design thinking keep the staff and customers who will use each solution at the centre.
Key assumptions are identified and tested with rapid experiments before major investment.
Teams decide whether to use AI features in existing tools, configure or buy a product, or build something new.
Solutions are run as part of everyday operations, measured against clear success metrics, and improved over time.
Learnings feed back into the backlog. Scaled solutions are rolled out to staff with the support they need.
AI usage: Empowered staff use approved AI tools to improve how they work
Staff and teams use approved AI tools as a normal part of their work. They are supported by their leaders and the AI enablement team.
Staff experiment with approved AI to improve their workflows: adopt what works, discard what doesn’t, and share what could help others so it can be scaled.
People share what they’ve learned, so early adopters lead the way for others. Communities of practice build capability and engagement.
The risk of unapproved AI use is actively managed. Workarounds and experiments with wider potential are noticed and added to the opportunity backlog.
* Delivered with technology partners or your organisation’s own technology team. ©ProSocia
What success looks like
For the organisation
- Growth and improved financial performance
- Increased productivity
- Faster, more predictable delivery
- Better, faster decisions
- New capabilities and innovation
For staff
- Increased engagement
- Improved productivity
- New skills and capacity for creativity
- Less time on low value tasks
For customers
- Better quality and experience
- New products and services
Why act now
The gap is opening
Only 6% of organisations report significant value from AI, and they are the ones investing fastest.
McKinsey, The state of AIShadow AI is already here
54% of workers would use AI tools even if not authorised. Waiting leaves the risk unmanaged and the value untapped.
BCG, AI at Work 2025Pilots aren’t creating value
Most AI pilots report no financial impact. The right conditions will fix that. Not more pilots.
MIT NANDA, via FortuneExpectations are rising
$116B+ potential AI boost to Australia’s economy over the next decade. The APS AI Plan commits to AI training for every public servant.
SmartCompany · Dept of Finance