Training alone will not change how people work.
At CIO Edge in Melbourne, Dom Price, Work Futurist and Visionary at Be Luminous, and Dayle Stevens OAM, AI Executive at Telstra, showed why sustained adoption requires ongoing behaviour change, room to experiment and incentives connected to real outcomes.
Key takeaways:
- Reinforce behaviour change beyond initial training: Repeated learning, peer sharing, leadership attention and space to experiment help people develop new ways of working over time.
- Build confidence with individuals before redesigning workflows: Give employees practical experience with the technology, then extend adoption into business processes and wider strategic priorities.
- Make trust and shared knowledge organisational capabilities: Demonstrate how systems are governed and monitored, and encourage people to share what they learn across teams.
Behaviour change requires reinforcement beyond training
Skills matter, but knowledge of a tool does not guarantee that people will change how they work.
Dom frames the human challenge through capability, capacity and willingness.
Organisations need people who can use new tools, enough space to experiment with them and an environment that encourages different behaviours.
Dayle’s experience with Ask Telstra shows how quickly the challenge can move beyond the technology.
Data quality created an early constraint, followed by the harder task of changing workforce behaviour.
One-off training around a release could not support that shift on its own.
Telstra established an ongoing Data and AI Academy and reinforced learning through repeated exposure, peer sharing and leadership attention.
Treat behaviour change as an ongoing organisational capability. Skills development needs to continue after deployment, with employees given opportunities to apply what they learn in their day-to-day work.
Individual confidence creates a path to wider redesign
Giving employees practical experience with new tools can build the confidence required for more significant changes to work.
Telstra approaches adoption in three waves.
The first gives individuals tools that improve their own productivity.
The second applies the technology to business-process transformation.
The third considers how those capabilities change the organisation’s wider strategy.
Starting with individual use gives employees room to experiment privately, find practical applications and develop familiarity before workflows change around them.
The next stage requires a stronger connection to business outcomes.
Telstra incorporates deployment and benefits into its broader incentive structure rather than treating adoption as a separate measure of success.
This keeps investment connected to existing organisational priorities.
Individual productivity provides an entry point; process redesign and strategic integration determine whether those gains travel further across the enterprise.
Trust and shared knowledge need visible operating practices
Trust requires evidence of how systems are monitored, governed and assured.
Dayle identifies sovereignty, trust and knowledge as areas where organisations can differentiate their approach.
As systems take on more work, leaders need confidence in the controls around them and in the organisational knowledge informing their decisions.
That knowledge extends beyond data.
Effective systems also need context about how people make decisions, how work moves across teams and where organisational boundaries affect an outcome.
Sharing what employees learn helps build that context across the organisation.
Dom and Dayle encourage leaders to create environments where people exchange practical lessons rather than hold expertise within individual teams.
Curiosity also needs commercial discipline.
Asking “so what?” forces teams to connect experimentation to a meaningful problem before committing further investment.
The strongest adoption cultures give people room to explore while keeping attention on the problems the organisation actually needs to solve.