The adoption gap
Employees revert to old processes
AI is available, but the operating workflow remains unchanged.
Roles become ambiguous
Teams are unclear about what AI owns, what people own and where judgement sits.
Governance stays theoretical
Policies are not translated into practical review points and behaviours.
Usage gets mistaken for value
Logins increase without a clear connection to performance or ROI.
Workflows
Redesign processes around AI and automation.
Roles
Clarify how responsibilities and capacity change.
Decisions
Define where AI recommends, acts or requires approval.
Future-state operating model
The organisation should not simply absorb AI into existing structures. We determine where the structure itself should change to capture the value.
Teams
Review hand-offs, structures and operating rhythms.
Capability
Define the skills and behaviours required next.
Governance
Embed oversight and controls into the workflow.

Why Sunburnt
AI champions
Sustained adoption cannot depend on an external project team. We help establish an internal network that reinforces good practice, supports teams and surfaces the next wave of opportunities.
Champions connect strategy, frontline reality and continuous improvement.
01
Identify credible champions across functions, roles and levels — not simply the most enthusiastic users.
02
Provide advanced capability across approved tools, governance, facilitation and practical use-case development.
03
Establish toolkits, Lunch & Learn, communities of practice and structured feedback loops.
04
Track team adoption, recurring barriers, new opportunities and capability growth over time.
Adoption measurement

Usage
Active users, frequency, feature adoption and workflow participation.
Illustrative: 74% weekly active use
Behaviour
Workflow adoption, process compliance, human review and reduced workarounds.
Illustrative: 62% workflow adoption
Performance
Cycle time, throughput, quality, service levels and rework.
Illustrative: 18% faster handling
Value
Capacity released, cost reduction, revenue contribution or customer impact.
Illustrative: 1,400 hours released
AI workforce impact assessment
Responsible AI playbooks
Future-state workflow maps
Manager toolkits
Role and responsibility redesign
Adoption communications
Leadership activation plan
Governance procedures




















