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

STREAM 1

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.

STREAM 2

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.

STREAM 3

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.

Our AI framework

Leadership, change management, measurement and learning run through all three streams.

AI enablement

Build the foundations that enable AI to deliver real value.

Direction: The ‘why’ is clear and there is an AI strategy aligned to organisational vision and strategy.

Operating model: The organisation’s operating model leverages AI to execute strategy more effectively.

Culture: Organisational culture creates alignment, drives out fear and supports continuous learning.

Guardrails: There are agreed standards for safe, responsible and accountable use of AI.

Capability: Leaders and staff have the knowledge and skills to use AI well.

Ownership: There is a cross-functional AI enablement team with the authority to drive change.

Data and technology: The platforms, data and tools needed for AI are fit for purpose.

AI implementation

Implement AI solutions that solve real problems at scale*

Value first: Opportunities are defined by the value they create and their link to strategy, not by the technology available.

Opportunity backlog: Opportunities from strategy, discovery and everyday use of AI are captured in one place.

User-centred: Product and design thinking keep the staff and customers who will use each solution at the centre.

Test before scaling: Key assumptions are identified and tested with rapid experiments before major investment.

Simplest route first: Teams decide whether to use AI features in existing tools, configure or buy a product, or build something new.

Delivered to last: Solutions are run as part of everyday operations, measured against clear success metrics, and improved over time.

Feedback and learning: 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.

Everyday use: 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.

Experimentation is the norm: 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.

Knowledge sharing: People share what they’ve learned, so early adopters lead the way for others. Communities of practice build capability and engagement.

Pave the desire paths: The risk of unapproved AI use is actively managed. Workarounds and experiments with wider potential are noticed and added to the opportunity backlog.

Leadership, change management, measurement and learning underpin everything

* 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 AI

Shadow 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 2025

Pilots aren’t creating value

Most

AI pilots report no financial impact. The right conditions will fix that. Not more pilots.

MIT NANDA, via Fortune

Expectations 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